CURRICULUM VITAE Professor J. Alison Noble OBE FRS FREng FIET

Personal and Contact Details

Date of Birth: 28th January 1965.

Nationality: British.

Address: Institute of Biomedical Engineering,

Department of Engineering Science, University of Oxford,

Old Road Campus Research Building, Old Road Campus,

Headington, Oxford OX3 7DQ, UK.

Email: alison.noble@eng.ox.ac.uk

Phone: 01865 617690

Employment

2011- Technikos Professor of Biomedical Engineering, Institute of Biomedical

Engineering, Department of Engineering Science, University of Oxford, UK.

2011- Professorial Fellow, St Hilda’s College, Oxford, UK.

2016-2019 Associate Head, Mathematical, Physical and Life Sciences (MPLS) Division

(Innovation & Industrial Liaison), University of Oxford, UK.

2012-2016 Director, Institute of Biomedical Engineering, Department of Engineering Science,

University of Oxford, UK.

2005-2011 Non-Tutorial and Governing Body Fellow, Wolfson College, Oxford, UK.

2002-2011 Professor of Engineering Science, Department of Engineering Science, University

of Oxford, UK.

1996-2004 Tutorial and Governing Body Fellow, Oriel College, Oxford, UK.

1995. Tutorial and Governing Body Fellow, St Hugh’s College, Oxford, UK.

1995-2002 University Lecturer and then Reader, Department of Engineering Science,

University of Oxford, UK.

1989-1994 Principal Scientist, GE Corporate Research and Development Center,

Schenectady, NY, USA.

Education

1986-1989 DPhil, Computer Vision, Engineering Science, University of Oxford, UK.

1983-1986 BA Hons (First Class), Engineering Science, University of Oxford, UK.

Honours and Awards

2019 Gabor Medal, Royal Society.

2019 MICCAI Society Enduring Impact Award.

2019 Hans Bloemendal Medal, Radboud Institute for Molecular Sciences, NL.

2019 Senior Fellow, HKIAS, City University of Hong Kong, Hong Kong.

2017 Fellowship of the Royal Society.

2017 Honorary Fellowship, St Hugh’s College, Oxford.

2016 Honorary Fellowship, Oriel College, Oxford.

2016-2021 European Research Council (ERC) Advanced Grant award.

2015 Laura Bassi Award, Int. Federation of Medical & Biological Engineering.

2013 OBE for services to science and Engineering.

2013 Fellowship of the Women’s Engineering Society (inaugural year Fellow).

2012 Fellowship of the MICCAI Society.

2008 Fellowship of the Royal Academy of Engineering.

ACADEMIC RESEARCH

Publications

I have 400 peer-reviewed technical and clinical publications (not including conference abstracts), h-index: 55 (Google Scholar), 13109 citations (08-01-2020). I am in the top 20 ranked researchers working in ultrasound imaging according to Google Scholar. See end of CV for complete list of publications.

Early Career Researcher Supervision and Mentorship

I have supervised 67 graduated PhD students (19 women) and have 11 current PhD students (3 woman).

I have supervised 41 postdoctoral researchers (11 women).

I have formally mentored early career research fellows on national schemes such as UK Royal Academy of Engineering Fellowships from UCL, KCL, U. Nottingham, U. Southampton and U. Glasgow as well as informally mentor a number of other ECRs at Oxford and elsewhere.

I was the PI and founding Director of the RCUK Centre for Doctoral Training (CDT) in Healthcare Innovation that trained 83 biomedical engineering PhD students 2008-18.

Recent Named Lectures

2019 Hans Bloemendal Lecture, Nijmegen, Netherlands.

2019 Hugh Ford Lecture, Dept. Mechanical Engineering, Imperial College London, UK.

2018 IPEM/IET Inaugural Peter Wells Lecture, London, UK.

2018 IPEM Woolmer Lecture, York, UK.

2018 Couch Kerley Lecture, Royal College of Radiology, Liverpool, UK.

2018 Inaugural Robert Ledley Lecture, Int. Conference on Pattern Recognition, Beijing, China.

Current Grants

2020-2021 European Research Council 150K Euros

ERC Proof of Concept Grant, PURFECT, JA Noble (PI).

2018-2021 Engineering and Physical Sciences Research Council (GCRF) £1.0M

CALOPUS (low-cost ultrasound pregnancy risk assessment triaging), JA Noble (PI

Oxford), S Bhatnagar (THSTI, India), EP/R013853/1.

2018-2021 Bill and Melinda Gates Foundation $530k

BAOBAB – Biometry automation in obstetrics and beyond

2017-2022 Medical Research Council (GCRF) £7.9M

PRECISE Network: PREgnancy Care Integrating translational Science Everywhere

(funds TraCer project), P von Dadelszen (PI, KCL), JA Noble (CoI), MR/P027938/1.

2017-2022 National Institute of Health Research £250k

NIHR Biomedical Research Centre, Oxford: Imaging Theme Project.

2017-2022 National Institutes of Health USA £300k

CIFASD Project: prenatal alcohol effects on facial and fetal development.

2016-2021 European Research Council 2.5M Euros

ERC Advanced Grant, PULSE: Perception Ultrasound by Learning Sonographic

Experience, JA Noble (PI).

2016-2021 Engineering and Physical Sciences Research Council £5.2M

SmartHeart Programme Grant, D Rueckert (PI), JA Noble (CoI), EP/P001009/1.

2015-2020 Engineering and Physical Sciences Research Council £4.5M

Seebibyte Programme Grant, A. Zisserman (PI), JA Noble (CoI), EP/M013774/1.

Contributions to Innovation and UK Industry

After my doctoral studies, my first job - working at the GE Corporate Research and Development

Centre, in Niskayuna, NY, USA - taught me skills in how to identify unmet needs and how to translate

technology into practice. During this time I was part of (award-winning) teams that delivered inspection

systems to the GE Aircraft Engine and GE Plastics Divisions. What I learned in this period has strongly

influenced my approach to inter-disciplinary academic research.

I am a co-founder, director and consultant to Intelligent Ultrasound Ltd (IUL), a subsidiary of Intelligent

Ultrasound Group PLC (formerly MedaPhor Group PLC), an AIM company based in Cardiff and Milton

Park, Oxfordshire. IUL was founded as a spin-out from my university research laboratory in 2012.

Intelligent Ultrasound Group announced a long-term OEM partnership agreement for its AI-based

imaging software in 2019.

At the university-level, from 2008 to 2012, I was the founding Director of the RCUK Centre for Doctoral

Training in Healthcare Innovation. From 2016 to 2019 I was the MPLS Division Associate Head

overseeing activities and strategy in innovation and industrial partnerships across the Division.

As evidenced by my professional service track record (below), and have played an active role in

promoting UK-wide industry-academia activities over the last 10 years.

PROFESSIONAL SERVICE TO THE COMMUNITY

Current Professional Activities

2019 Chair, The Royal Society, Industry Fellowship Joint Panel.

2018 Member, The Royal Society, Sectional Committee 4 (2018) and 0 (2019-20).

2018 Member, REF2021, Sub-panel 12 (Engineering).

2017 Member, Wellcome Trust, Science, Innovation and Translation Advisory Group.

2016 Member, Medical Research Council, Stratified Medicine Group.

2015 Trustee, The Oxford Trust.

2013 Founding Member, Royal Academy of Engineering, Enterprise Committee.

Previous Professional Activities (last 10 years)

The Royal Society:

o 2017-19, Chair, Privacy Enhancing Technologies (PETs) Policy Working Group (policy

report).

o 2017-19, Member, Research Appointment Panel Aii.

o 2016-18, Member, Innovation and Translation Panel.

o 2015-17, Member, Paul Instrument Fund Panel.

o 2014-19, Member, Newton International Fellowships Panel.

o 2009-12, Member, Research Grants Panel.

Royal Academy of Engineering:

o 2017-19, Member, Engineering Biology Steering Group (policy report).

o 2018, Co-Chair, Frontiers in Engineering meeting in Vietnam.

o 2017, Member, RAEng Chairs in Emerging Technologies Panel.

o 2014, Co-Chair, UK-Brazil Frontiers in Engineering meeting in Brazil.

o 2013-15, Member, External Affairs Committee.

o 2009-12, Member, Awards Committee.

o 2005-13, Member, RAEng Fellowship Panel (Interview Panel 2011, 2013).

Institution of Engineering and Technology (IET):

o 2016-19, Trustee, Trustee Board.

o 2019, IET Vice President.

International Medical Image Computing and Computer Assisted Interventions (MICCAI)

Society: Served for 10 years on MICCAI Society Board:

o 2016-17, Past President.

o 2013-16, Society President.

o 2009-12, Vice-President (2009-12).

o 2009-11, Devised initial schemes and co-ordinator for Fellowship scheme.

o 2007-08, Board Member. Devised and co-ordinated young investigator awards.

Engineering and Physical Sciences Research Council:

o 2017-19, Chair, Healthcare Technology Strategic Advisory Team.

o 2018, Panel chair, 2018 Centres for Doctoral Training Call.

o 2018, Sift Panel Chair, Inclusion Matters Call.

o 2018, Sift Panel Chair, IRC in Targeted Therapy Delivery.

o 2014-17, Member, Healthcare Technologies Strategic Advisory Team.

o 2010, Chair, EPSRC Review of Cardiovascular Research Portfolio.

Medical Research Council:

o 2014-19, Member, Translational Research Group.

o 2014-16, Member, Innovate UK/MRC Biomedical Catalyst MAC Panel.

o 2012-14, Member, Confidence in Concept Panel.

European Research Council:

o Advanced Grant Panel PE7 (Member 2014 and 2016, Vice Chair 2016).

2016-17, Member, Government Blackett Review Panel.

2016-18, Member, Queen Elizabeth Prize Search Committee.

University Leadership and University Committee Membership

2019- Director, Oxford University (Suzhou) Science & Technology Co.

Ltd (OUSST).

2019- Member, China Science Group.

2019- Member, Institute of Ethics in AI Steering Group.

2018- Member, Bioescalator Management Board (MPLS Division rep.).

2016-2019 MPLS Associate Head of Division (Industrial Liaison and Innovation):

Responsibilities include chairing the Division’s Innovation and Impact Committee, MPLS

Impact Award scheme, and overseeing the university’s EPSRC Impact and Acceleration

Account award on behalf of the Pro- Vice Chancellor of Research; divisional academic

lead working with MPLS Head of Innovation and Impact/Industrial Research Partnership

Team, and collaboration/engagement with other Divisions, OUI and other external

organizations in relation to industrial liaison and innovation.

2016-2019 Member, MPLS Divisional Board and MPLS Division GPC.

2017-2019 Chair, Legal Representative and Director, Oxford University (Suzhou) Science

& Technology Co. Ltd (OUSST)

2017-2019 Member, REF Project Board (MPLS Academic Lead)

2017-2019 Member, Knowledge Exchange and Impact Sub-committee (MPLS representative).

2013-2014 Member, Education Committee.

2011-2013 Member, Conflict of Interest Committee.

2009-2015 Member, Research and Innovation Committee.

PUBLICATIONS

2020

1. MA Maraci, M Yaqub, R Craik, S Beriwal, A Self, P von Dadelzen, A Papageorghiou, JA Noble, Toward point-of-care ultrasound estimation of fetal gestational age from the trans-cerebellar diameter using CNN-based ultrasound image analysis, Journal of Medical Imaging, 2020 (to appear).

2. LL Hin, JA Noble, Automatic Determination of the Fetal Cardiac Cycle in Ultrasound using Spatio-Temporal Neural Networks, In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), to appear.

3. R Droste, P. Chatelain, H. Sharma, L. Drukker, AT Papageorghiou, JA Noble, Discovering Salient Anatomical Landmarks by Predicting Human Gaze, In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), to appear.

4. LL Hin, JA Noble, Generating Controllable Ultrasound Images of the Fetal Head, In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), to appear.

5. J. Jiao, R. Droste, L. Drukker, AT Papageorghiou, JA Noble, Self-supervised Representation Learning for Ultrasound Video In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), to appear.

2019

6. Mohammad Alsharid, Harshita Sharma, Lior Drukker, Pierre Chatelain, Aris T Papageorghiou, and J Alison Noble. Captioning ultrasound images automatically. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 338–346. Springer, Cham, 2019.

7. Yuan Gao and J Alison Noble. Learning and understanding deep spatio-temporal representations from freehand fetal ultrasound sweeps. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 299–308. Springer, Cham, 2019.

8. Arijit Patra, Yifan Cai, Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, and J Alison Noble. Efficient ultrasound image analysis models with sonographer gaze assisted distillation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 394–402. Springer, Cham, 2019.

9. Yipeng Hu, Eli Gibson, Dean C Barratt, Mark Emberton, J Alison Noble, and Tom Vercauteren. Conditional segmentation in lieu of image registration. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 401–409. Springer, Cham, 2019.

10. Davis M Vigneault, E Yang, PJ Jensen, MW Tee, H Farhad, L Chu, JA Noble, SM Day. SD Colan, MW Russell, j Towbin, MV Sherrid, CE Canter, L Shi, CT Ho, DA Bluemke, Left ventricular strain is abnormal in preclinical and overt hypertropic cardiomyopathy: cardiac MR feature tracking, Radiology 290(3): 640-648, 2019.

11. Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Aris T Papageorghiou, and J Alison Noble. Automated 3d ultrasound image analysis for first trimester assessment of fetal health. Physics in Medicine & Biology, 64(18):185010, 2019.

12. Jos´e Villar, Michelle Fernandes, Manorama Purwar, Eleonora Staines-Urias, Paola Di Nicola, Leila Cheikh Ismail, Roseline Ochieng, Fernando Barros, Elaine Albernaz, Cesar Victora, et al.

Neurodevelopmental milestones and associated behaviours are similar among healthy children across diverse geographical locations. Nature Communications, 10(1):511, 2019.

13. H Sharma, R Droste, P Chatelain, L Drukker, AT Papageorghiou, and JA Noble. Spatio-temporal partitioning and description of full-length routine fetal anomaly ultrasound scans. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pages 987–990. IEEE, 2019.

14. Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Lior Drukker, Aris T Papageorghiou, and J Alison Noble. Ultrasound image representation learning by modeling sonographer visual attention. In International Conference on Information Processing in Medical Imaging, pages 592–604. Springer, Cham, 2019.

15. Richard Droste, Yifan Cai, Harshita Sharma, Pierre Chatelain, Aris T Papageorghiou, and J Alison Noble. Towards capturing sonographic experience: Cognition-inspired ultrasound video saliency prediction. UK Medical Image Understanding and Analysis Conference, 2019.

16. Arijit Patra and J Alison Noble. Multi-anatomy localization in fetal echocardiography videos. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), pages 1761–1764. IEEE, 2019.

17. Sheila MP Everwijn, Ana IL Namburete, Nan van Geloven, Fenna AR Jansen, Aris T Papageorghiou, Alison J Noble, Aalbertine KK Teunissen, Lieke Rozendaal, Nico A Blom, Jan MM van Lith, et al. Cortical development in fetuses with congenital heart defects using an automated brain-age prediction algorithm. Acta obstetricia et gynecologica Scandinavica, 2019.

18. Huan Qi, Sally Collins, and J Alison Noble. UPI-net: Semantic contour detection in placental ultrasound. In Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019.

19. Jianbo Jiao, Ana IL Namburete, Aris T Papageorghiou, and J Alison Noble. Anatomy-aware self-supervised fetal MRI synthesis from unpaired ultrasound images. In International Workshop on Machine Learning in Medical Imaging, pages 178–186. Springer, Cham, 2019.

20. Lior Drukker, Richard Droste, Pierre Chatelain, J Alison Noble, and Aris T Papageorghiou. Routine thirdtrimester growth scans: how common is expected value bias? Ultrasound in Obstetrics & Gynecology, 2019.

21. Ruobing Huang, Michael Suttie, and J Alison Noble. An automated cnn-based 3d anatomical landmark detection method to facilitate surface-based 3d facial shape analysis. In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, pages 163–171. Springer, Cham, 2019.

22. Russell Fung, Jose Villar, Ali Dashti, Leila Cheikh Ismail, Eleonora Staines-Urias, Eric O Ohuma, Laurent J Salomon, Cesar G Victora, Fernando C Barros, Ann Lambert, et al. Using machine learning to achieve accurate estimates of fetal gestational age and personalized predictions of fetal growth. The Lancet 2019.

2018

23. Pierre Chatelain, Harshita Sharma, Lior Drukker, Aris T Papageorghiou, and J Alison Noble. Evaluation of gaze tracking calibration for longitudinal biomedical imaging studies. IEEE Transactions on Cybernetics, 2018.

24. JE Hirst, J Villar, CG Victora, AT Papageorghiou, D Finkton, FC Barros, MG Gravett, F Giuliani, M Purwar, IO Frederick, et al. The antepartum stillbirth syndrome: risk factors and pregnancy conditions identified from the intergrowth-21st project. BJOG: An International Journal of Obstetrics & Gynaecology, 125(9):1145–1153, 2018.

25. Angelo Cavallaro, Stephen T Ash, Raffaele Napolitano, Sikolia Wanyonyi, Eric O Ohuma, Malid Molloholli, Joyce Sande, Ippokratis Sarris, Christos Ioannou, Tess Norris, et al. Quality control of ultrasound for fetal biometry: results from the intergrowth-21st project. Ultrasound in Obstetrics & Gynecology, 52(3):332–339, 2018.

26. Jos´e Villar, Leila Cheikh Ismail, Eleonora Staines Urias, Francesca Giuliani, Eric O Ohuma, Cesar G Victora, Aris T Papageorghiou, Douglas G Altman, Cutberto Garza, Fernando C Barros, et al. The satisfactory growth and development at 2 years of age of the intergrowth-21st fetal growth standards cohort support its appropriateness for constructing international standards. American Journal of Obstetrics and Gynecology, 218(2):S841–S854, 2018.

27. Stephen H Kennedy, Cesar G Victora, Rachel Craik, Stephen Ash, Fernando C Barros, Hellen C Barsosio, James A Berkley, Maria Carvalho, Michelle Fernandes, Leila Cheikh Ismail, et al. Deep clinical and biological phenotyping of the preterm birth and small for gestational age syndromes: The interbio-21st newborn case-control study protocol. Gates Open Research, 2, 2018.

28. Hasmila A Omar, João S Domingos, Arijit Patra, Ross Upton, Paul Leeson, and J Alison Noble. Quantification of cardiac bull’s-eye map based on principal strain analysis for myocardial wall motion assessment in stress echocardiography. In Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, pages 1195–1198. IEEE, 2018.

29. Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M Moore, Mark Emberton, Tom Vercauteren, J Alison Noble, and Dean C Barratt. Adversarial deformation regularization for training image registration neural networks. arXiv preprint arXiv:1805.10665, 2018.

30. Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M Moore, Mark Emberton, Tom Vercauteren, J Alison Noble, and Dean C Barratt. Adversarial Deformation Regularisation for Training Image Registration Neural Networks. In International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Berlin, Heidelberg, 2018.

31. Yipeng Hu, Marc Modat, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M Moore, Mark Ember-ton, J Alison Noble, Dean C Barratt, and Tom Vercauteren. Label-driven weakly-supervised learning for multimodal deformarle image registration. In Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, pages 1070–1074. IEEE, 2018.

32. Yifan Cai, Harshita Sharma, Pierre Chatelain, and J. Alison Noble. Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps. In International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Berlin, Heidelberg, 2018.

33. Y Cai, H Sharma, P Chatelain, and JA Noble. Sonoeyenet: Standardized fetal ultrasound plane detection informed by eye tracking. In Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on, pages 1475–1478. IEEE, 2018.

34. Huan Qi, Sally Collins, and J Alison Noble. Automatic lacunae localization in placental ultrasound images via layer aggregation. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 921–929. Springer, Cham, 2018.

35. Hasmila A Omar, Jo ao S Domingos, Arijit Patra, Paul Leeson, and J Alison Noble. Improving visualdetection of wall motion abnormality with echocardiographic image enhancing methods. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC),pages 1128–1131. IEEE, 2018

36. Stephen Mellon, Rui Jia, Paul Monk, Alison Noble, David Murray, and Michael Andersen. Compensation of experimentally induced soft tissue artefact with a combination of optoelectronic motion analysis system and a 2d ultrasound probe. In 8th World Congress of Biomechanics, 2018.

37. Ruobing Huang, J Alison Noble, and Ana IL Namburete. Omni-supervised learning: Scaling up to large unlabelled medical datasets. In International Conference on Medical Image Computing and Computer Assisted Intervention, pages 572–580. Springer, Cham, 2018.

38. Ruobing Huang, Weidi Xie, and J Alison Noble. VP-Nets: Efficient automatic localization of key brain structures in 3D fetal neurosonography. Medical Image Analysis, 47:127–139, 2018.

39. Ruobing Huang, Ana Namburete, and Alison Noble. Learning to segment key clinical anatomical structures in fetal neurosonography informed by a region-based descriptor. Journal of Medical Imaging, 5(1):014007, 2018.

40. Aris T Papageorghiou, Stephen H Kennedy, Laurent J Salomon, Douglas G Altman, Eric O Ohuma, William Stones, Michael G Gravett, Fernando C Barros, Cesar Victora, Manorama Purwar, et al. The Intergrowth-21st fetal growth standards: toward the global integration of pregnancy and pediatric care. American Journal of Obstetrics and Gynecology, 218(2):S630–S640, 2018.

41. Mohammad Ali Maraci, Weidi Xie, and J Alison Noble. Can dilated convolutions capture ultrasound video dynamics? In International Workshop on Machine Learning in Medical Imaging, pages 116–124. Springer, Cham, 2018.

42. A Gururaj, S Kennedy, L Hinton, D Praveen, M Ameer, S Dhillon, JA Noble, and AT Papageorghiou. Ep02. 08: Exploring the role of a semi-automated ultrasound device in rural indian antenatal care. Ultrasound in Obstetrics & Gynecology, 52:198–199, 2018.

43. Davis M Vigneault, Amir Pourmorteza, Marvin L Thomas, David A Bluemke, and J Alison Noble. SiSSR: Simultaneous subdivision surface registration for the quantification of cardiac function from computed tomography in canines. Medical Image Analysis, 46:215–228, 2018.

44. Davis M Vigneault, Weidi Xie, Carolyn Y Ho, David A Bluemke, and J Alison Noble. Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks. Medical Image Analysis, 48, 2018.

45. Ana IL Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, and J Alison Noble. Fully automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Analysis, 46:1–14, 2018.

46. Weidi Xie, J Alison Noble, and Andrew Zisserman. Microscopy cell counting and detection with fully convolutional regression networks. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 6(3):283–292, 2018.

47. Gordon N Stevenson, J Alison Noble, Alec W Welsh, Lawrence Impey, and Sally L Collins. Automated Visualization and Quantification of Spiral Artery Blood Flow Entering the First-Trimester Placenta, Using 3-D Power Doppler Ultrasound. Ultrasound in Medicine & Biology, 44(3):522–531, 2018.

48. M Yaqub, B Kelly, H Stobart, R Napolitano, JA Noble, and AT Papageorghiou. Quality improvement programme of ultrasound based fetal anatomy screening using large scale clinical audit. Ultrasound in Obstetrics & Gynecology, 2018.

2017

49. AIL Namburete, Weidi Xie, and J Alison Noble. Robust regression of brain maturation from 3d fetal neurosonography using crns. In Fetal, Infant and Ophthalmic Medical Image Analysis, pages 73–80. Springer, Cham, 2017.

50. Yipeng Hu, Eli Gibson, Tom Vercauteren, Hashim U Ahmed, Mark Emberton, Caroline M Moore, J Alison Noble, and Dean C Barratt. Intraoperative organ motion models with an

ensemble of conditional generative adversarial networks. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 368–376. Springer, Cham, 2017.

51. Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C Barratt, Tom Vercauteren, and J Alison Noble. Freehand ultrasound image simulation with spatially-conditioned generative adversarial networks. In Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, pages 105–115. Springer, Cham, 2017.

52. Christopher P Bridge, Christos Ioannou, and J Alison Noble. Localizing cardiac structures in fetal heart ultrasound video. In International Workshop on Machine Learning in Medical Imaging, pages 247–255. Springer, Cham, 2017.

53. Christopher P Bridge, Christos Ioannou, and J Alison Noble. Automated annotation and quantitative description of ultrasound videos of the fetal heart. Medical image analysis, 36:147–161, 2017.

54. Mohammad Yaqub, Brenda Kelly, Aris T Papageorghiou, and J Alison Noble. A deep learning solution for automatic fetal neurosonographic diagnostic plane verification using clinical standard constraints. Ultrasound in Medicine and Biology, 43(12):2925–2933, 2017.

55. Weilin Huang, Christopher P Bridge, J Alison Noble, and Andrew Zisserman. Temporal heartnet: towards human-level automatic analysis of fetal cardiac screening video. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 341–349. Springer, Cham, 2017.

56. Arijit Patra, Weilin Huang, and J Alison Noble. Learning spatio-temporal aggregation for fetal heart analysis in ultrasound video. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, pages 276–284. Springer, Cham, 2017.

57. José Villar, Leila Cheikh Ismail, Eleonora Staines Urias, Francesca Giuliani, Eric O Ohuma, Cesar G Victora, Aris T Papageorghiou, Douglas G Altman, Cutberto Garza, Fernando C Barros, et al. The satisfactory growth and development at 2 years of age of the intergrowth-21st fetal growth standards cohort support its appropriateness for constructing international standards. American Journal of Obstetrics and Gynecology, 2017.

58. José Villar, Fabien A Puglia, Tanis R Fenton, Leila Cheikh Ismail, Eleonora Staines-Urias, Francesca Giuliani, Eric O Ohuma, Cesar G Victora, Peter Sullivan, Fernando C Barros, et al. Body composition at birth and its relationship with neonatal anthropometric ratios: the newborn body composition study of the intergrowth-21 st project. Pediatric Research, 82(2):305, 2017.

59. Sean Coffey, Adam J Lewandowski, Steve Garratt, Rudy Meijer, Steven Lynum, Ram Bedi, James Paterson, Mohammad Yaqub, J Alison Noble, Stefan Neubauer, et al. Protocol and quality assurance for carotid imaging in 100,000 participants of uk biobank: Development and assessment. European Journal of Preventive Cardiology, 24(17):1799–1806, 2017.

60. Yuan Gao and J Alison Noble. Detection and characterization of the fetal heartbeat in free-hand ultrasound sweeps with weakly-supervised two-stream convolutional networks. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 305–313. Springer, Cham, 2017.

61. Rui Jia, Paul Monk, David Murray, J Alison Noble, and Stephen Mellon. Cat & maus: A novel system for true dynamic motion measurement of underlying bony structures with compensation for soft tissue movement. Journal of Biomechanics, 62:156–164, 2017.

62. V Donadono, R Napolitano, EO Ohuma, M Molloholli, SZ Wanyonyi, B Kemp, A Cavallaro, M Yaqub, ST Ash, YA Jaffer, et al. Oc06. 01: Development of normal fetal brain structures: international standards based on ultrasound measurements from the Intergrowth-21st project. Ultrasound in Obstetrics 4 Gynecology, 50(S1):10–11, 2017.

63. I Salim, E Staines-Urias, J Villar, DG Altman, JA Noble, E Bertino, MG Gravett, M Purwar, R Pang, FC Barros, et al. P20. 09: The probability of cephalic presentation across pregnancy in the

intergrowth-21st fetal growth longitudinal study. Ultrasound in Obstetrics 4 Gynecology, 50(S1):220–221, 2017.

64. Angelo Cavallaro, Stephen T Ash, Raffaele Napolitano, Sikolia Wanyonyi, Eric O Ohuma, Malid Molloholli, Joyce Sande, Ippokratis Sarris, Christos Ioannou, Tess Norris, et al. Quality control of ultrasound for fetal biometry: results from the intergrowth-21st project. Ultrasound in Obstetrics 4 Gynecology, 2017. 65. Huan Qi, Sally Collins, and Alison Noble. Weakly supervised learning of placental ultrasound images with residual networks. In Annual Conference on Medical Image Understanding and Analysis, pages 98–108. Springer, Cham, 2017. 66. Vaanathi Sundaresan, Christopher P Bridge, Christos Ioannou, and J Alison Noble. Automated characterization of the fetal heart in ultrasound images using fully convolutional neural networks. In Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, pages 671–674. IEEE, 2017.

67. Sally L Collins, Alec W Welsh, Lawrence Impey, J Alison Noble, and Gordon N Stevenson. 3d fractional moving blood volume (3d-fmbv) demonstrates decreased first trimester placental vascularity in pre-eclampsia but not the term, small for gestation age baby. PloS one, 12(6):e0178675, 2017.

68. Mohammad Ali Maraci, Christopher P Bridge, Raffaele Napolitano, Aris Papageorghiou, and J Alison Noble. A framework for analysis of linear ultrasound videos to detect fetal presentation and heartbeat. Medical image analysis, 37:22–36, 2017.

69. J Stirnemann, J Villar, LJ Salomon, E Ohuma, P Ruyan, DG Altman, F Nosten, R Craik, S Munim, L Cheikh Ismail, et al. International estimated fetal weight standards of the intergrowth-21st project. Ultrasound in obstetrics & gynecology, 49(4):478–486, 2017.

70. J Alison Noble. Machine learning in medical ultrasound to assist clinical diagnosis. In Ultrasonics Symposium (IUS), 2017 IEEE International, pages 1–1. IEEE, 2017.

71. Carlos Arteta, Victor Lempitsky, Jaroslav Zak, Xin Lu, Alison Noble, and Andrew Zisserman. Htx: a tool for the exploration and visualization of high-throughput image assays. bioRxiv, page 204016, 2017.

72. H Omar, A Patra, JS Domingos, R Upton, P Leeson, and JA Noble. myocardial wall motion assessment in stress echocardiography by quantification of principal strain bulls eye maps: p299. European Heart Journal Cardiovascular Imaging, 18:iii64, 2017.

73. Davis M Vigneault, Weidi Xie, David A Bluemke, and J Alison Noble. Feature tracking cardiac magnetic resonance via deep learning and spline optimization. In International Conference on Functional Imaging and Modeling of the Heart, pages 183–194. Springer, Cham, 2017.

74. Davis M Vigneault, Weidi Xie, Carolyn Y Ho, David A Bluemke, and J Alison Noble. Omega-Net: Fully automatic, multi−view cardiac MR detection, orientation, and segmentation with deep neural networks.arXiv:1711.01094, 2017.

2016

75. Davis M Vigneault, Anneline SJM te Riele, Cynthia A James, Stefan L Zimmerman, Mariana Selwaness, Brit-tney Murray, Crystal Tichnell, Michael Tee, J Alison Noble, Hugh Calkins, et al.

Right ventricular strain by mr quantitatively identifies regional dysfunction in patients with arrhythmogenic right ventricular cardiomyopathy. Journal of Magnetic Resonance Imaging, 43(5):1132–1139, 2016. 76. J Alison Noble. Reflections on ultrasound image analysis. Medical image analysis, 33:33–37, 2016.

77. M Ahmed and JA Noble. Fetal ultrasound image classification using a bag-of-words model trained on sonographers’ eye movements. Procedia Computer Science, 90:157–162, 2016.

78. M Ahmed and JA Noble. An eye-tracking inspired method for standardised plane extraction from fetal abdom¬inal ultrasound volumes. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pages 1084–1087. IEEE, 2016.

79. Leila Cheikh Ismail, Deborah C Bishop, Ruyan Pang, Eric O Ohuma, Gilberto Kac, Barbara Abrams, Kathleen Rasmussen, Fernando C Barros, Jane E Hirst, Ann Lambert, et al. Gestational weight gain standards based on women enrolled in the fetal growth longitudinal study of the intergrowth-21 st project: a prospective longitudinal cohort study. bmj, 352:i555, 2016.

80. Leila Cheikh Ismail, Francesca Giuliani, Bashir A Bhat, Deborah Bishop, Aris T Papageorghiou, Roseline Ochieng, Fabien Puglia, Douglas G Altman, Michael Maia-Schlüssel, Julia A Noble, et al. Preterm feeding recommendations are achievable in large-scale research studies. BMC Nutrition, 2(1):9, 2016.

81. Aris T Papageorghiou, Eric O Ohuma, Michael G Gravett, Jane Hirst, Mariangela F Da Silveira, Ann Lambert, Maria Carvalho, Yasmin A Jaffer, Douglas G Altman, Julia A Noble, et al. International standards for symphysis-fundal height based on serial measurements from the fetal growth longitudinal study of the intergrowth-21st project: prospective cohort study in eight countries. bmj, 355:i5662, 2016.

82. Aris T Papageorghiou, Bryn Kemp, William Stones, Eric O Ohuma, Stephen H Kennedy, Manorama Purwar, Laurent J Salomon, Douglas G Altman, Julia A Noble, Enrico Bertino, et al. Ultrasound-based gestational-age estimation in late pregnancy. Ultrasound in Obstetrics & Gynecology, 48(6):719–726, 2016.

83. AT Papageorghiou, R Napolitano, M Yaqub, JA Noble, and B Kelly. Op15. 01: Quality improvement programme for the routine anomaly scan using a dedicated quality control platform. Ultrasound in Obstetrics & Gynecology, 48(S1):97–97, 2016.

84. Gordon Stevenson, Alec Welsh, Lawrence Impey, J Alison Noble, and Sally Collins. An image processing technique for the visualization and quantification of blood flow entering the placenta using 3d power Doppler ultrasound (pd-us). Placenta, 45:85, 2016.

85. José Villar, Francesca Giuliani, Zulfigar A Bhutta, Enrico Bertino, Eric O Ohuma, Leila Cheikh Ismail, Fernando C Barros, Douglas G Altman, Cesar Victora, Julia A Noble, et al. Postnatal growth standards for preterm infants: the preterm postnatal follow-up study of the intergrowth-21st project. Midirs Midwifery Digest, 26(2):250–251, 2016.

86. Y Gao, Mohammad Ali Maraci, and J Alison Noble. Describing ultrasound video content using deep convolutional neural networks. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pages 787–790. IEEE, 2016.

87. Rui Jia, Stephen Mellon, Paul Monk, David Murray, and J Alison Noble. A computer-aided tracking and motion analysis with ultrasound (cat & maus) system for the description of hip joint

kinematics. International Journal of Computer Assisted Radiology and Surgery, 11(11):1965–1977, 2016.

88. Rui Jia, Stephen J Mellon, S Hansjee, AP Monk, David W Murray, and J Alison Noble. Automatic bone segmentation in ultrasound images using local phase features and dynamic programming. In Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on, pages 1005–1008. IEEE, 2016.

89. Rui Jia, Stephen Mellon, Paul Monk, David Murray, and Alison Noble. Globally optimal registration for describing joint kinematics. Procedia Computer Science, 90:188–193, 2016.

90. Carlos Arteta, Victor Lempitsky, J Alison Noble, and Andrew Zisserman. Detecting overlapping instances in microscopy images using extremal region trees. Medical image analysis, 27:3–16, 2016.

91. J Villar, CG Victora, AT Papageorghiou, D Finkton, FC Barros, MG Gravett, F Giuliani, M Purwar, IO Frederick, et al. The antepartum stillbirth syndrome: risk factors and pregnancy conditions identified from the intergrowth-21st project. BJOG: An International Journal of Obstetrics 4 Gynaecology, 2016.

92. Weidi Xie, Alison Noble, and Andrew Zisserman. Layer recurrent neural networks. 2016.

93. Hosuk Ryou, Mohammad Yaqub, Angelo Cavallaro, Fenella Roseman, Aris Papageorghiou, and J Alison Noble. Automated 3d ultrasound biometry planes extraction for first trimester fetal assessment. In International Workshop on Machine Learning in Medical Imaging, pages 196–204. Springer, Cham, 2016.

94. Mohammad Yaqub, Sylvia Rueda, Anil Kopuri, Pedro Melo, AT Papageorghiou, Peter B Sullivan, Kenneth McCormick, and J Alison Noble. Plane localization in 3-d fetal neurosonography for longitudinal analysis of the developing brain. IEEE journal of biomedical and health informatics, 20(4):1120–1128, 2016.

95. Jeroen Bergmann, Alison Noble, and Mark Thompson. Probabilistic sensor network design. In Wearable and Implantable Body Sensor Networks (BSN), 2016 IEEE 13th International Conference on, pages 66–70. IEEE, 2016.

96. Omar S Al-Kadi, Daniel YF Chung, Constantin C Coussios, and J Alison Noble. Heterogeneous tissue characterization using ultrasound: a comparison of fractal analysis backscatter models on liver tumors. Ultrasound in Medicine and Biology, 42(7):1612–1626, 2016.

97. Gerard Pons, Joan Mart´ı, Robert Mart´ı, Sergi Ganau, and J Alison Noble. Breast-lesion segmentation combining b-mode and elastography ultrasound. Ultrasonic imaging, 38(3):209–224, 2016.

98. Raquel C Conceição, Dallan Byrne, JA Noble, and Ian Craddock. Initial study for the investigation of breast tumour response with classification algorithms using a microwave radar prototype. In Antennas and Propagation (EuCAP), 2016 10th European Conference on, pages 1–2. IEEE, 2016.

99. A Lambert, AT Papageorghiou, B Kemp, W Stones, EO Ohuma, SH Kennedy, M Purwar, LJ Salomon, DG Altman, JA Noble, et al. Ultrasound based gestational age estimation in late pregnancy. Ultrasuoni in Ostetricia e Ginecologia, 2016.

2015

100. Christopher P Bridge and J Alison Noble. Object localisation in fetal ultrasound images using invariant features. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 156–159. IEEE, 2015. 101. Ana IL Namburete, Richard V Stebbing, Bryn Kemp, Mohammad Yaqub, Aris T Papageorghiou, and J Alison Noble. Learning-based prediction of gestational age from ultrasound images of the fetal brain. Medical image analysis, 21(1):72–86, 2015. 102. Gordon N Stevenson, Sally L Collins, Alec W Welsh, Lawrence W Impey, and J Alison Noble. Original research n technical developments a technique for the estimation of fractional moving blood volume by using three-dimensional power doppler us. RADIOLOGY, 274(1):230–237, 2015. 103. Rui Jia, AP Monk, David W Murray, Stephen J Mellon, and J Alison Noble. Greater trochanter tracking in ultrasound imaging during gait. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 260–263. IEEE, 2015.

104. Mohammad Yaqub, Brenda Kelly, Aris T Papageorghiou, and J Alison Noble. Guided random forests for identification of key fetal anatomy and image categorization in ultrasound scans. In International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 687–694. Springer, Cham, 2015. 105. Gordon N Stevenson, Sally L Collins, Jane Ding, Lawrence Impey, and J Alison Noble. 3-d ultrasound segmentation of the placenta using the random walker algorithm: Reliability and agreement. Ultrasound in Medicine and Biology, 41(12):3182–3193, 2015. 106. Mohammad Ali Maraci, Raffaele Napolitano, Aris Papageorghiou, and J Alison Noble. Fisher vector encoding for detecting objects of interest in ultrasound videos. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 651–654. IEEE, 2015. 107. MA Maraci, C Bridge, JA Noble, C Aye, M Molloholli, R Napolitano, and AT Papageorghiou. Oc11. 07: Towards automating the ISUOG “six-step basic ultrasound” scan. Ultrasound in Obstetrics 4 Gynecology, 46(S1):25–25, 2015. 108. Michael W Tee, Samuel Won, Fabio S Raman, Colin Yi, Davis M Vigneault, Cynthia Davies-Venn, Songtao Liu, Albert C Lardo, João AC Lima, J Alison Noble, et al. Regional strain analysis with multidetector ct in a swine cardiomyopathy model: relationship to cardiac mr tagging and myocardial fibrosis. Radiology, 277(1):88–94, 2015. 109. Omar S Al-Kadi, Daniel YF Chung, Robert C Carlisle, Constantin C Coussios, and J Alison Noble. Quantification of ultrasonic texture intra-heterogeneity via volumetric stochastic modeling for tissue characterization. Medical image analysis, 21(1):59–71, 2015.

110. Sylvia Rueda, Caroline L Knight, Aris T Papageorghiou, and J Alison Noble. Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step. Medical image analysis, 26(1):30–46, 2015. 111. Thomas A Nketia, J Alison Noble, and Jens Rittscher. Towards quantifying the impact of cell boundary estimation on morphometric analysis for phenotypic screening. In Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 781–784. IEEE, 2015.

112. CL Knight, S Rueda, M Ahmed, K Edwards, V Donadono, G Parry, F Puglia, L Cheikh Ismail, J Villar, S Kennedy, et al. Oc11. 02: Fetal limb fat volume: a surrogate marker of body composition. Ultrasound in Obstetrics 4 Gynecology, 46(S1):23–23, 2015. 113. Fernando C Barros, Aris T Papageorghiou, Cesar G Victora, Julia A Noble, Ruyan Pang, Jay Iams, Leila Cheikh Ismail, Robert L Goldenberg, Ann Lambert, Michael S Kramer, et al. The distribution of clinical phenotypes of preterm birth syndrome: implications for prevention. JAMA pediatrics, 169(3):220–229, 2015. 114. Cesar G Victora, JoséVillar, Fernando C Barros, Leila Cheikh Ismail, Cameron Chumlea, Aris T Papageorghiou, Enrico Bertino, Eric O Ohuma, Ann Lambert, Maria Carvalho, et al. Anthropometric characterization of impaired fetal growth: risk factors for and prognosis of newborns with stunting or wasting. JAMA Pediatrics, 169(7):e151431–e151431, 2015. 115. JE Hirst, J Villar, AT Papageorghiou, R Pang, EO Ohuma, L Cheikh Ismail, FC Barros, A Lambert, M Car-valho, YA Jaffer, et al. Intergrowth-21st: describing optimal fetal growth, newborn size and postnatal growth and development for the improved phenotypic classification of the preterm birth and fetal growth restriction syndromes. Bjog: An International Journal of Obstetrics and Gynaecology, 122:395, 2015. 116. JoséVillar, Aris T Papageorghiou, Ruyan Pang, Laurent J Salomon, Ana Langer, Cesar Victora, Manorama Purwar, Cameron Chumlea, Wu Qingqing, Sicco A Scherjon, et al. Monitoring human growth and development: a continuum from the womb to the classroom. American Journal of Obstetrics 4 Gynecology, 213(4):494–499, 2015. 117. JoséVillar, Francesca Giuliani, Zulfiqar A Bhutta, Enrico Bertino, Eric O Ohuma, Leila Cheikh Ismail, Fernando C Barros, Douglas G Altman, Cesar Victora, Julia A Noble, et al. Postnatal growth standards for preterm infants: the preterm postnatal follow-up study of the intergrowth-21st project. The Lancet Global Health, 3(11):e681–e691, 2015. 118. Richard V Stebbing, Ana IL Namburete, Ross Upton, Paul Leeson, and J Alison Noble. Data-driven shape parameterization for segmentation of the right ventricle from 3d+ t echocardiography. Medical image analysis, 21(1):29–39, 2015. 119. Daniel Augustine, Mohammad Yaqub, Cezary Szmigielski, Eduardo Lima, Steffen E Petersen, Harald Becher, J Alison Noble, and Paul Leeson. “3d fusion” echocardiography improves 3d left ventricular assessment: Comparison with 2d contrast echocardiography. Echocardiography, 32(2):302–309, 2015.

120. Jose Villar, Aris T Papageorghiou, Ruyan Pang, Laurent J Salomon, Ana Langer, Cesar Victora, Manorama Purwar, Cameron Chumlea, Wu Qingqing, Sicco A Scherjon, Fernando C Barros, et al. Monitoring human growth and development: a continuum from the womb to the classroom. Amercian Journal of Obstetrics and Gynecology, 213(4):494-499, 2015.

2014

121. MK Yaqub, MK Javaid, C Cooper, JA Noble. Investigation of the role of feature selection and weighted voting in Random Forests for 3D volumetric segmentation, IEEE Transactions on Medical Imaging 33(2):258-270, 2014.

122. A Larrue, JA Noble, Modeling of errors in Nakagami imaging: illustration on breast mass characterization, Ultrasound in Medicine and Biology 40(5):917-930, 2014.

123. A di Battista, JA Noble, An efficient block matching and spectral shift estimation algorithm with applications to ultrasound elastography. IEEE Trans UFFC. 61 (3):407-19, 2014.

124. C Buhnemann, S Li, H Yu, H Branford White, KL Schafer, A Llombart-Bosch, I Machado, P Picci, PCW Hogendoorn, NA Athanasou, JA Noble, A. B Hassan, Quantification of the Heterogeneity of Prognostic Cellular Biomarkers in Ewing Sarcoma Using Automated Image and Random Survival Forest Analysis, PLOS ONE 9(9), September 2014.

125. AT Papageorghiou, EO Ohuma, DG Altman, T Todros, L Cheikh Ismail, A Lambert, YA Jaffer, E Bertino, MG Gravett, M Purwar, JA Noble, R Pang, CG Victora, FC Barros, M Carvalho, LJ Salomon, ZA Bhutta, SH Kennedy, J Villar, for the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st), International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project, Lancet 384:869-79, 2014.

126. J Villar, L Cheikh Ismail, CG Victora, EO Ohuma, E Bertino, DG Altman, A Lambert, AT Papageorghiou, M Carvalho, YA Jaffer, MG Gravett, M Purwar, IO Frederick, AJ Noble, R Pang, FC Barros, C Chumlea, ZA Bhutta, SH Kennedy, for the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st), International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project, Lancet 384: 857-68, 2014.

127. AT Papageorghiou, SH Kennedy, LJ Salomon, EO Ohuma, L Cheikh Ismail, FC Barros, A Lambert, M Carvalho, YA Jaffer, E Bertino, MG Gravett, DG Altman, m Purwar, JA Noble, R Pang, CG Victora, ZA Bhutta J Villar, International standards for early fetal size and pregnancy dating based on ultrasound measurement of crown–rump length in the first trimester of pregnancy, Ultrasound in Obstetrics and Gynaecology 44(6):641-8, 2014.

128. A Foi, M Maggioni, A Pepe; S Rueda; J A Noble; A T Papageorghiou; J Tohka, Difference of Gaussians Revolved Along Elliptical Paths for Ultrasound Fetal Head Segmentation, Computerized Medical Imaging and Graphics 38(8):774-84, 2014.

129. J Villar, AT Papageorghiou, R Pang, EO Ohuma, LC Ismail, FC Barros, A Lambert, M Carvalho, YA Jaff er, E Bertino, MG Gravett, DG Altman, M Purwar, IO Frederick, JA Noble, CG Victora, ZA Bhutta, SH Kennedy, for the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st), The likeness of fetal growth and newborn size across non-isolated populations in the INTERGROWTH-21st Project: The fetal growth longitudinal study and newborn cross-sectional study, The Lancet Diabetes & Endocrinology, 2(10):781-92, 2014.

130. S Rueda, S Fathima, CL Knight, M Yaqub, AT Papageorghiou, B Rahmatullah, A Foi, M Maggioni, A Pepe, J Tohka, RV Stebbing, JE McManigle, A Ciurte, X Bresson, M Bach Cuadra,C Sun, GV Ponomarev, MS Gelfand, MD Kazanov, C-W Wang,H-C Chen, C-W Peng, C-M Hung, and JA Noble. Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge. IEEE Transactions on Medical Imaging, 33(4):797-813, 2014.

131. P Orlowski, I Mahmud, M Kamran, P Summers, A Noble, Y Ventikos, JV Byrne, An approach to the sympolic representation of brain arteriovenous malformations for management and treatment planning, Neuroradiology 56(3):195-209, 2014.

132. M Yaqub, A Kopuri, S Rueda, P B Sullivan, K McCormick, JA Noble A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation, Machine Learning in Medical Imaging, LNCS 8679, pp. 109–116, 2014.

133. AIL Namburete, M Yaqub, B Kemp, AT Papageorghiou, JA Noble, Predicting fetal neurodevelopmental maturation in ultrasound Images. Proceedings of the Medical Image Computing and Computer Assisted Intervention (MICCAI), 14-18 September, 2014.

134. MA Maraci, R Napolitano, AT Papageorghiou, JA Noble, Object classification in an ultrasound video using LP-SIFT features (MICCAI), Medical Computer Vision, 18 September 2014.

135. MA Maraci, R Napolitano, AT Papageorghiou, JA Noble, Searching for structures of interest in an ultrasound video sequence, (MICCAI) 5th International Workshop on Machine Learning in Medical Imaging, 14-18 September 2014.

136. João S. Domingos, Richard V. Stebbing, Paul Leeson, and J. Alison Noble Structured random forests for myocardium delineation in 3D echocardiography. (MICCAI) 5th International Workshop on Machine Learning in Medical Imaging, 14-18 September 2014.

137. C Arteta, V Lempitsky, JA Noble, A Zisserman, Interactive object counting. European Conference on Compute Vision 2014.

138. João S. Domingos, Richard V. Stebbing, and J. Alison Noble Endocardial segmentation using structured random forests in 3D echocardiography .MICCAI 2014: Challenge on Endocardial Three-dimensional Ultrasound Segmentation, 14-18 September, 2014.

139. Thomas Nketia, Jens Rittscher, J. Alison Noble, Utilizing phase retardation features for segmenting cells in phase contrast microscopy images Medical Image Understanding and Analysis 2014. 140. AIL Namburete, RV Stebbing, JA Noble, Diagnostic plane extraction from 3D parametric surface of the fetal cranium. Medical Image Understanding and Analysis 2014.

2013

141. SL Collins, G Stevenson, J A Noble, L Impey, Rapid calculation of standardised placental volume at 11-13 weeks and the prediction of the term, small for gestational age baby, Ultrasound in Medicine and Biology, 39(2): 2013.

142. M Kuklisova-Murgasova, A Cifor, R Napolitano, A Papageorghiou, G Quaghebeur, MA Rutherford, JV. Hajnal, JA Noble, JA Schnabel. Registration of 3D fetal neurosonography and MRI. Medical Image Analysis, 17(8):1137-50, 2013.

143. P Brown, J Alsousou, A Cooper, M Thompson, JA Noble, The AutoQual ultrasound elastography method for quantitative assessment of lateral strain in post rupture Achilles tendons. Journal of Biomechanics 46(15):2695-700, 2013.

144. M Tee, JA Noble, DA Bluemke. Imaging techniques for cardiac strain and deformation: comparison of echocardiography, cardiac magnetic resonance and cardiac computed tomography. Expert Rev Cardiovasc Ther. 2013, 11(2):221-31.

145. SL Collins, GN Stevenson, JA Noble, L Impey. Elsevier Trophoblast Research Award Lecture: Searching for an early pregnancy 3-D morphometric ultrasound. Placenta. March 2013; 3g4 Suppl:S85-9.

146. M Yaqub, C Ioannou, M K Javaid, C Cooper, A Papageorghiou, JA Noble, Fusion of 3D ultrasound images of the fetal femur improves boundary definition and volume measurement. Fetal Diagnosis and Therapy. 2013; 34(3):158-65.

147. RV Stebbing, JA Noble. Delineating anatomical boundaries using the boundary fragment model. Medical Image Analysis 17(8):1123-1136, 2013.

148. AL Namburete, B Rahmatullah, J A Noble. Nakagami-Based AdaBoost Learning Framework for Detection of Anatomical Landmarks in 2D Fetal Neurosonograms. Annals of the British Machine Vision Association (BMVA), No. 1, 2013, pp. 2, 1-16.

149. J Villar, D Altman, M Purwar, J A Noble, H Knight, P Ruyan, L Cheikh Ismail, F Barros, A Lambert, A Papageorghiou, M Carvalho, Y Jaffer, E Bertino, M Gravett, Z Bhutta, S Kennedy, and for the International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st) (2013). The objectives, design and implementation of the INTERGROWTH-21st Project. BJOG: An International Journal of Obstetrics & Gynaecology, 120 Suppl 2:9-26, 2013.

150. G Pons, J Marti, R Marti, S Ganau, J Carles Vilanova, JA Noble. Evaluating lesion segmentation in breast ultrasound images related to lesion typology. Journal of Ultrasound in Medicine 32(9):1659-70, 2013.

151. SL Collins, G Stevenson, J A Noble, L Impey. Rapid calculation of standardised placental volume at 11-13 weeks and the prediction of the term, small for gestational age baby. Ultrasound in Medicine and Biology, 2013 Feb;39(2):253-60.

152. D Augustine, AJ Lewandowski, M Lazdam, A Rai, J Francis, S Myerson,A Noble, H Becher,S Neubauer,SE Petersen, P Leeson. Global and Regional Left Ventricular Myocardial Deformation Measures By Magnetic Resonance Feature Tracking In Healthy Volunteers: Comparison with Tagging and Relevance of Gender, Journal of Cardiovascular Magnetic Resonance 2013, 15:8.

153. MW Tee, SF Fathima, DA Bluemke, JA Noble. Applications of Feature Based Attribute Vectors for Myocardium Tissue Characterization Towards Cardiac Motion Estimation in Cardiac Computed Tomography. Proceedings of the Medical Image Understanding and Analysis (MIUA 2013).

154. C Arteta, V Lempitsky, JA Noble, A Zisserman. Learning to Detect Partially Overlapping Instances. Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013). June 25-27, 2013, Portland, USA.

155. JS Domingos, E Lima , P Leeson , JA Noble. Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography. Proceedings MICCAI Workshop on Medical Computer Vision, Nagoya, Japan, Sept 22-26, 2013, LNCS, Springer (2013).

156. M Yaqub, R Cuingnet, R Napolitano, D Roundhill, A Papageorghiou, R Ardon, JA Noble. Volumetric Segmentation of Key Fetal Brain Structures in 3D Ultrasound. MICCAI 2013: 4th International Workshop on Machine Learning in Medical Imaging, Nagoya, Japan, Sept 22-26 2013.

157. Chykeyuk K, M Yaqub, JA Noble . Class-specific regression random forest for accurate extraction of standard planes from 3D echocardiography. Proceedings MICCAI Workshop on Medical Computer Vision, Nagoya, Japan, Sept 22-26, 2013, LNCS, Springer (2013).

158. S Rueda, C.L. Knight, AT Papageorghiou, JA Noble. Oriented Feature-Based Coupled Ellipse Fitting for Soft Tissue Quantification in Ultrasound Images. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2013: from Nano to Macro, April 2013, San Francisco, CA, USA.

159. R Cuingnet, O Somphone, B Mory, R Prevost, M Yaqub, R Napolitano, A Papageorghiou, D Roundhill, JA Noble, R Ardon. Where is my Baby? A Fast Fetal Head Auto-Alignment in 3D-

Ultrasound. Proceedings of the the IEEE International Symposium on Biomedical Imaging (ISBI) 2013: from Nano to Macro, April 2013, San Francisco, CA, USA.

160. AIL Namburete, JA Noble. Fetal Cranial Segmentation in 2D Ultrasound Images Using Shape Properties of Pixel Clusters. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) 2013: from Nano to Macro, April 2013, San Francisco, CA, USA.

161. TM Rackham, S Rueda, CL Knight, JA Noble. Ultrasound image segmentation using feature asymmetry and shape guided live wire. Proceedings of SPIE Medical Imaging 2013: Image Processing, Orlando, Florida, USA, 9-14 February 2013.

162. JS Domingos, D Augustine, P Leeson, JA Noble. Automatic Left Ventricle Apical Plane Detection In 3D Echocardiography. Proceedings of SPIE Medical Imaging 2013: Image Processing, Orlando, Florida, USA, 9-14 February 2013.

2012

163. MJ Rijken, WE Moroski, S Kiricharoen, N Karunkonkowit, G Stevenson, EO Ohuma, JA Noble, SH Kennedy, R McGready, AT Papageorghiou, and FH Nosten. Effect of malaria on placental volume measured using three-dimenstional ultraosound: a pilot study, Malaria Journal 11, 2012. 164. SL Collins, G Stevenson, J A Noble, L Impey. Developmental changes in spiral artery blood flow in the human placenta observed with colour Doppler ultrasonography. Placenta 2012 Oct;33(10):782-7.

165. AW Welsh, SL Collins, GN Stevenson, JA Noble, L Impey. Inapplicability of the Fractional Moving Blood Volume (FMBV) technique to standardise VOCAL indices for quantified power Doppler. Ultrasound in Obstetrics & Gynecology, (UOG), Dec 2012;40(6):688-92.

166. J Villar, AT Papageorghiou, EO Ohuma, DG Altman, MG Gravett, M Purwar, JA Noble, P Ruyan, L Cheikh Ismail, FC Barros, et al. I379 early fetal growth across different geographical regions: Are fetuses similar in the 1st trimester? International Journal of Gynecology & Obstetrics, 119:S255–S256, 2012.

167. P Orlowski, P Summers, JA Noble, JV Byrne,Y Ventikos. Computational modelling of the embolization of brain arteriovenous malformations. Medical Engineering and Physics, 34(7):873-81, 2012.

168. C Ioannou, M K Javaid, P Mahon, M Yaqub, NC Harvey, KM Godfrey, JA Noble, C Cooper, AT Papageorghiou. The effect of maternal vitamin D concentration on fetal bone. Journal of Clinical Endocrinology & Metabolism Nov 2012;97(11):E2070.

169. SL Collins, G Stevenson, JA Noble, L Impey, AW Welsh. Influence of power Doppler gain setting on Virtual Organ Computer AnaLysis (VOCAL) indices in vivo: can use of the individual sub-noise gain (SNG) level optimise information? Ultrasound in Obstetrics & Gynecology, July 2012;40(1):75-80.

170. E Santos Filho, JA Noble, M Poli, T Griffiths, G Emerson, and D Wells. A method for semi-automatic grading of human blastocyst microscope images. Human Reproduction. Sept 2012;27(9):2641-8.

171. K. Chykeyuk, M. Yaqub, J. A. Noble. Novel Context Rich LoCo and GloCo Features with Local and Global Shape Constraints for Segmentation of 3D Echocardiograms with Random Forests. MICCAI International Workshop: Medical Computer Vision. Recognition Techniques and

Applications in Medical Imaging. B. Menze, G. Langs, L. Luet al, Springer Berlin Heidelberg. 7766: 59-69.

172. S. Rueda, C. Knight, A.T. Papageorghiou, J.A. Noble. Ultrasound-Based Fetal Arm Adipose Tissue Thickness Quantification Across Gestation. Proceedings of the MICCAI Workshop on Perinatal and Paediatric Imaging: PaPI 2012, 1st October 2012, Nice, France.

173. C Arteta, V Lempitsky, JA Noble, A Zisserman. Learning Non-overlapping Extremal Regions To Detect Cells, Proceedings of the Medical Imaging and Computer Assisted Interventions (MICCAI), 1-5 October 2012, Nice, France.

174. B Rahmatullah, A Papageorghiou, JA Noble. Integration of local and global features for anatomical object detection in ultrasound. Proceedings of the Medical Imaging and Computer Assisted Interventions (MICCAI), 1-5 October 2012, Nice, France.

175. A. Ciurte, S. Rueda, X. Bresson, S. Nedevschi, A.T. Papageorghiou, J.A. Noble, M. Bach Cuadra. Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach. Proceedings of the MICCAI Workshop on Perinatal and Paediatric Imaging: PaPI 2012, 1st October 2012, Nice, France.

176. PG Brown, J Alsousou, M Thompson, JA Noble. Ultrasound strain imaging measurement in achilles tendons as a measure of healing from rupture with controlled ankle motion. The 18th Congress of the Biomechanics (ESB), 1-4 July 2012, Lisbon, Portugal.

177. B Rahmatullah, A Papageorghiou, JA Noble. Image analysis using machine learning: anatomical landmark detection in fetal ultrasound images. Proceedings of the Annual Computer Software and Applications Conference (COMPSAC), IEEE, 16-20 July 2012, Izmir, Turkey.

178. R Riberio, R English, JA Noble. Improving breast mass visibility in ultrasound images using spectral analysis and contrast enhancement algorithms. Proceedings of the international conference on Imaging and Signal Processing in Health Care and Technology (ISPHT), IASTED, 14-16 May 2012, Baltimore, USA. 179. B Rahmatullah, A Papageorghiou, JA Noble. Multi-scale local phase features for anatomical object detection in fetal ultrasound images. Proceedings of the Medical Image Understanding and Analysis (MIUA), 9-11 July 2012, Swansea, UK.

180. A Namburete, B Rahmatullah, JA Noble. Nakagami-based choroid plexus detection in fetal ultrasound images using AdaBoost. Proceedings of the Medical Image Understanding and Analysis (MIUA), 9-11 July 2012, Swansea, UK.

181. M Kuklisova-Murgasova, A Cifor, R Napolitano, A Papageorghiou, G Quaghebeur, JA Noble, JA Schnabel. Registration of 3D fetal brain US and MRI. Proceedings of the Medical Imaging and Computer Assisted Interventions (MICCAI), 1-5 October 2012, Nice, France.

182. JA Noble. Image analysis of the human fetus and newborn – developing new clinical tools for perinatal care. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, Spain. pp. 490-492.

183. PG Brown, J Alsousou, M Thompson, JA Noble. Controlled motion strain measurement using lateral speckle tracking in achilles tendons during healing. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, Spain. pp. 1104-1107.

184. JE McManigle, RV Stebbing, JA Noble. Modified Hough transform for left ventricle myocardium segmentation in 3-d echocardiogram images. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, pp. 290-293.

185. RV Stebbing, JE McManigle, JA Noble. Interpreting edge information for improved endocardium delineation in echocardiograms. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, Spain, pp. 238-241.

186. S Rueda, C Knight, A Papageorghiou, JA Noble. Regularised Feature-Based Fuzzy Connectedness Segmentation of Ultrasound Images for Fetal Soft Tissue Quantification Across Gestation. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, Spain, pp. 1323-1326.

187. M Kuklisova-Murgasova, G Quaghebeur, JV Hajnal, JA Noble, JA Schnabel. Towards registration of fetal brain MR and ultrasound. Proceedings of the International Symposium on Biomedical Imaging (ISBI) - IEEE, 2 - 5 May 2012, Barcelona, Spain. pp. 346-349.

2011

188. W Zhang, JM Brady, H Becher, JA Noble. Spatio-temporal (2D+T) non-rigid registration of real-time 3D echocardiography and cardiovascular MR image sequences. Physics in Medicine and Biology 56(5), 2011. 189. C Ioannou, I Sarris, MK Yaqub, JA Noble, MK Javaid, AT Papageorghiou, Surface area measurement using rendered three-dimensional ultrasound imaging: an in-vitro phantom study, Ultrasound Obstet Gynecol 2011.

190. JA Noble, N Navab, H Becher, Review: Ultrasonic image analysis and image-guided interventions. Interface Focus, 1 (4):673085, 2011.

191. R English, J Li, R Adams, V Parulekar, A Parker, D Roskell, Y Chi, JA Noble, A pilot study to evaluate assisted freehand ultrasound elasticity in the sizing of early breast cancer: a comparison of B-mode and AFUSON elasticity ultrasound with histopathology measurements, British Journal of Radiology, 2011 November; 84:1011-1019.

192. H.-D. Liang, J. A. Noble, and P. N. T. Wells, Recent advances in biomedical ultrasonic imaging techniques, Interface Focus August 6, 2011 1(4):475-476.

193. P Orlowski, F Al-Senani, P Summers, JV Byrne, JA Noble, Y Ventikos, Towards treatment planning for the embolization of arteriovenous malformations of the brain: intranidal haemodynamics modeling. IEEE Transactions on Biomedical Engineering 58(7):1994-2001, 2011. 194. K Rajpoot, V Grau, JA Noble, C Szmigielski, H Becher. Multi-view fusion 3D echocardiography: Improving the information and quality of real-time 3D echocardiography. Ultrasound in Medicine & Biology, 37(7):1056-72, 2011.

195. K Rajpoot, V Grau, JA Noble, H Becher, C Szmigielski. The evaluation of single-view and multi-view fusion 3D echocardiography using image-driven segmentation and tracking, Medical Image Analysis, 15(4), August 2011, pp 514-528.

196. G Flaccavento, V Lempitsky, I Pope, PR Barber, A Zisserman, JA Noble, B Vojnovic, Learning to Count Cells: applications to lens-free imaging of large fields, International Workshop on Microscopic image analysis with applications in Biology – Heidelberg, 2011.

197. A di Battista, R English, JA Noble, Ultrasound viscoelastic Imaging of breast lesions: a practical hybrid freehand technique for data acquisition, Proc. ASME 2011 International Mechanical Engineering Congress & Exposition (IMECE2011), 2011.

198. M Verhoek, M Yaqub, J Mcmanigle, JA Noble, Learning optical flow propagation strategies using random forests for fast segmentation in dynamic 2D and 3D echocardiography, International Workshop on Machine Learning in Medical Imaging (MLMI), Toronto, 2011.

199. B Rahmatullah, A Papageorghiou, JA Noble, Automated selection of standardized planes from ultrasound volumes, International Workshop on Machine Learning in Medical Imaging (MLMI), Toronto 2011.

200. M Yaqub, K Javaid, C Cooper, JA Noble, Improving he classification accuracy of the classic RF method by intelligent feature selection and weighted voting of trees with application to medical image segmentation, International Workshop on Machine Learning in Medical Imaging (MLMI ), Toronto, 2011.

201. S Rueda, C Knight, A Papageorghiou, JA Noble. Local Phase-Based Fuzzy Connectedness Segmentation of Ultrasound Images, Proc. Medical Image Under. and Analysis (MIUA) 2011, pp. 331-5, July 2011, London, U.K.

202. K Rajpoot, D Augustine, C Basagiannis, JA Noble, H Becher, P Leeson, 3D fusion echocardiography improves transoeosphageal LV assessment, International Conference on Functional Imaging and Modeling of the Heart, LNCS vol 6666, p 161-162, 2011.

203. G Pons, J Martí, R Marti, A Noble. Simultaneous Lesion Segmentation and Bias Correction in Breast Ultrasound Images, Iberian Conference on Pattern Recognition and Image Analysis, 2011.

204. S Li, JG Wakefield, JA Noble, Automated segmentation and alignment of mitotic nuclei for kymograph visualization, IEEE ISBI, pp 622-625, 2011.

205. K Chykeyuk, D Clifton, JA Noble, Feature extraction and wall motion classification of 2D stress echocardiography with relevance vecto machines, IEEE ISBI pp 677-680, 2011.

206. A Larrue, JA Noble, Nakagami imaging with small windows, IEEE ISBI 2011.

207. G Stevenson, SL Collins, L Impey, JA Noble, Surface parameterization of the utero/placental interface using 3D power Doppler ultrasound, IEEE ISBI pp 891-894, 2011.

208. B Rahmatullah, I Sarris, A Papageorghiou, JA Noble, Quality control of fetal ultrasound images: detection of abdomen anatomical landmarks using AdaBoost, IEEE ISBI 2011.

209. K Allen, N Joshi, JA Noble,Tramline and NP windows estimation for enhanced unsupervised

retinal vessel segmentation, IEEE ISBI pp 1387-1390,2011.

210. A di Battista, JA Noble, A fast and robust 3D ultrasound strain inaging method for freehand scanning, IEEE ISBI pp 528-531, 2011.

211. K Chykeyuk, DA Clifton, JA Noble, Feature extraction and wall motion classification of 2D stress echocardiography with support vector machines, SPIE Medical Imaging pp 677-680, 2011.

212. S Fathima, S Rueda, A Papageorghiou, JA Noble, A novel local-phase method of automatic atlas construction in fetal ultrasound, SPIE Medical Imaging, 2011.

2010

213. C Szmigielski, K Rajpoot, V Grau, S Myerson, C Holloway, J.A. Noble, R Kerber, H. Becher, Real-time 3D fusion echocardiography, Journal of the American College of Cardiology: Cardiovascular Imaging, 3: 682-690,2010.

214. MJ Kadour, R Adams, R English, V Parulekar, S Christopher, JA Noble, Slip Imaging: reduced ambiguity in breast lesion assessment, Ultrasound in Medicine and Biology, 36:12:2027-2035, 2010.

215. K Rajpoot, JA Noble, C Szmigielski, H Becher, Towards improving the cardiac analysis capabilities by multi-view fusion echocardiography, Cardiology Management, May 2010.

216. E. Santos Filho, J.A. Noble. D. Wells, A review on automatic analysis of human embryo microscope images, The Open Biomedical Engineering Journal, vol.4, pp 170-177, 2010.

217. G Ye, P Probert Smith, JA Noble, Model-based ultrasound temperature visualization during and following HIFU exposure, Ultrasound in Medicine and Biology, 36(2): 234-249,2010.

218. J A Noble, Ultrasound image segmentation and tissue characterization, Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, in press 2010. (Invited Paper).

219. S Li, .C Buehnemann, B Hassan, JA Noble, Segmentation of cell clumps for quantitative analysis, International IEEE EMBS Conference. 2010.

220. L Biasiolli, J. A. Noble and MD Robson, Multicontrast MRI registration of carotid arteries in atherosclerotic and normal subjects Proc. SPIE 7623, 76232N (2010)

. 221. K Evans, JA Noble, Assessment of malaria in pregnancy using a novel wavelet-based analysis of ultrasound images, Proceeding of Medical Image Analysis and Understanding 2010. 222. M Yaqub, K Javaid, JA Noble, Improving boundary definition for 3D ultrasound quantification of the fetal femur, Proceedings of Medical Image Analysis and Understanding 2010.

223. M Yaqub, K Javiad, JA Noble, Weighted voting in 3D random forest segmentation, Proceedings of Medical Image Analysis and Understanding 2010.

224. AT Zabair, JA Noble, Segmentation of 2D stress echocardiography sequences using rest-based patient-specific prior information, IEEE International Symposium on Biomedical Imaging 2010.

225. ND Cahill, JA Noble, DJ Hawkes, Accounting for changing overlap in variational image registration, IEEE International Symposium on Biomedical Imaging 2010.

226. B Chuang, A Myronenko, R English, JA Noble, Interpreting ultrasound elastography: image registration of breast cancer ultrasound elastography to histopathology images, IEEE International Symposium on Biomedical Imaging 2010.

227. E Santos Filho, JA Noble, D Wells, Toward a method for automatic grading of microscope human embryo images, IEEE International Symposium on Biomedical Imaging 2010.

2009

228. MJ Gooding, K Rajpoot, S Kennedy, JA Noble, Investigation into the fusion of multiple 4D fetal echocardiography images to improve image quality, Ultrasound in Medicine and Biology, 2009.

229. J Alsousou, M Thompson, P Hulley, A. Noble, K. Willett, The biology of platelet-rich plasma and its application in trauma and orthopaedic surgery: a review of the literature, The Journal of Bone and Joint Surgery, 91-B:987-96, 2009.

230. CE Jackson, CC Shirodaria, JMS Lee, JM Francis, RP Choudhury, KM Channon, JA Noble, S Neubauer, MD Robson, Accurate automate measurement of dynamic arterial lumen area by cardiovascular magnetic resonance, Journal of Cardiovascular Magnetic Resonance, 2009.

231. J Li, Y Cui, RE English, JA Noble, Ultrasound-based estimating of breast tissue biomechanical properties, Journal of Strain Analysis for Mechanical Design, 44(5):363-374, 2009. (Special Issue Paper).

232. MJ Kadour and JA Noble, Assisted-freehand ultrasound elasticity imaging, IEEE Transactions on UFFC, 56(1):36-43, 2009.

233. JG Kim, JA Noble, JM Brady, Probabilistic models for shapes as continuous curves, Journal of Mathematical Imaging and Vision, 33(1):39-65, 2009.

234. Flaccavento, G., Folkard, M., Noble, J.A., Prise, K.M., Vojnovic, B., Substrate evaluation for a microbeam endstation using unstained cell imaging, Applied Radiation and Isotopes 67 (2009), pp. 460-463.

235. C Haw, A Noble, M Arora, C Coussios, HIFU induced displacement estimation (HIDE) maps for monitoring the creation of thermal lesions, International Symposium on Therapeutic Ultrasound, 2009.

236. J Li, Y Chi, JA Noble, R English, International Elasticity Conference, Rotterdam, 2009.

237. G Vesom, ND Cahill, L Gorelick, JA Noble, The role of implicit shape representation in describing highly variable anatomical shape, 1st International Conference on Mathematical and Computational Biomedical Engineering, CMBE2009, 2009.

238. T Szilagyi, M Verhoek, JA Noble, Detecting early response to therapy in liver cancer treatment: 3D metastases segmentation using graph-cuts with a modified prior, Proceedings of Medical Image Understanding and Analysis, 2009.

239. M Verhoek, K Rajpoot, A Blake, JA Noble, Comparing appearance and edge information for myocardial segmentation of the left ventricle in 3D echocardiography using graph-cuts, Proceedings of Medical Image Understanding and Analysis, 2009.

240. Cahill, N.D., JA Nobleand D.J. Hawkes, A Demons Algorithm for Image Registration with Locally Adaptive Regularization, Medical Image Computing and Computer-Assisted Interventions 2009, London UK. Runner up for MICCAI Society student award.

241. K Rajpoot, JA Noble, V Grau, C Szmigielski, H Becher, Image-driven Cardiac Left Ventricle Segmentation for the Evaluation of Multiview Fused Real-Time 3-Dimensional Echocardiography Images, Medical Image Computing and Computer-Assisted Interventions 2009, London UK.

242. K. Rajpoot, V Grau, H Becher, JA Noble, Multiview RT3D echocardiography image fusion, Functional Imaging and Modelling of the Heart 2009,

243. V Lempitsky, M Verhoek, JA Noble, A Blake, Random forest classification for automatic delineation of myocardium in real-time 3D echocardiography, Functional Imaging and Modelling of the Heart 2009, Nice, France. Best paper award.

244. ND Cahill, JA Schnabel, JA Noble, DJ Hawkes, Overlap invariance of cumulative residual entropy measures for multimodal image alignment, SPIE Medical Imaging 2009

2008

245. J. Li, Y Cui, MJ Kadour, JA Noble , Elasticity reconstruction from displacement and confidence measures of a multi-compressed ultrasound RF sequence, , IEEE Trans UFFC 55(3):319-326, , 2008.

246. M. Gooding, S Kennedy and J.A. Noble, Volume segmentation and reconstruction from freehand 3-D ultrasound data with application to ovarian follicle measurement, Ultrasound in Medicine and Biology, Vol. 34, No. 2, pp. 183–195, 2008.

247. J Bermejo, J. Timperley, R. Odremann, M, Mulet, J.A. Noble, A.P. Banning, R Yotti, E Perez-David, J Declerck, H. Becher, M.A. Garcia-Fernandez, Objective quantification of global and regional left ventricular systolic function by endocardial tracking of contrast echocardiographic sequences, International Journal of Cardiology, 2008.

248. K Hibbs, M Tang, JA Noble, Microbubble imaging using echo strain estimation, IEEE International Ultrasonics Symposium 2008.

249. G Ye, P Probert-Smith, JA Noble, A model-based displacement outlier removal algorithm for ultrasonic temperature estimation, IEEE International Ultrasonics Symposium 2008.

250. M Gyongy, M Arora, JA Noble, C Coussios, Use of passive arrays for characterization and mapping of cavitation activity during HIFU exposure, IEEE International Ultrasonics Symposium 2008.

251. G Vesom, ND Cahill, L Gorelick, JA Noble, Characterization of anatomical shape based on random walk hitting times, 2nd International Workshop on Mathematical Foundations of Computational Anatomy 2008.

252. A Zabair, JA Noble, Analysis of endocardial motion from 3D echocardiography using 16-segment labeling of the myocardium and non-rigid registration, Proceedings of MIUA 2008.

253. S Mansor, N Hughes, JA Noble, Wall motion classification of stress echocardiography based on combined rest-and-stress data, Proceeding of MIUA 2008.

254. K Rajpoot, JA Noble, V Grau, N Rajpoot, Feature detection from echocardiography imaging using local phase information, Proceedings of MIUA 2008.

255. K Allen, JA Noble, A recursive stochastic vessel segmentation framework that robustly handles bifurcations, Proceedings of MIUA 2008.

256. ND Cahill, JA Schnabel, JA Noble, DJ Hawkes, Revisiting overlap invariance in medical image alignment, Proceedings of MMBIA 2008.

257. R Canas Casero, JA Noble, A novel explicitly 2D+t cyclic shape model applied to echocardiography, International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008.

258. S Mansor, N Hughes, JA Noble, Wall motion classification of stress echocardiography based on combined rest-stress data, , International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2008.

259. E von Lavante, JA Noble, Segmentation of breast cancer masses in US using RF signal derived parameters and strain estimates, IEEE ISBI 2008.

260. P Orlowski, JA Noble, Y Ventikos, JV Byrne, P Summers, Image-based simulation of AVM Hemodynamics, IEEE ISBI 2008.

261. S Mansor, N Hughes, JA Noble, Local wall motion classification of stress echocardiography using a Hidden Markov model approach, IEEE ISBI 2008.

262. LMA Beaumont, J Wakefield, JA Noble, Spatio-temporal Bayesian cell population tracking and analysis with lineage construction, IEEE ISBI 2008.

263. ND Cahill, G. Vesom, L Gorelick, JA Noble, JM Brady, Investigating implicit shape representations for alignment of livers from serial CT examinations, IEEE ISBI 2008.

264. V Grau, C Szmigielski, H Becher, JA Noble, Combining apical and parasternal views to improve motion estimation in RT3D echocardiographic sequences, IEEE ISBI 2008.

265. H Homann, JA Noble, Vasculature analysis of CT liver images using Graph Cuts, IEEE ISBI 2008.

2007

266. V. Grau, H. Becher and J.A. Noble, Registration of multi-view real time three dimensional echocardiographic sequences, IEEE Transactions on Medical Imaging, 26(9), p. 1154-1165, 2007. 267. C Haw, JA Noble, Investigating the wave properties in transient echocardiography using an FEM model, accepted to Int Conference on the ultrasonic measurement and imaging of tissue elasticity, 2007.

268. W Zhang, JA Noble, JM Brady, Spatio-temporal segmentation of LV in real-time 3D echocardiographic images using phase information, Proceedings of MIUA 2007.

269. T. Yates, P. Probert-Smith, J.A. Noble, T. Leslie, A. McIntyre, R. Philips, Rigid registration of an MR volume to a 2D ultrasound kidney image for use during HIFU therapy, MIUA 2007.

270. G Ye, P Probert-Smith, JA Noble, Modelling the dependence of echo strain in temperature from experiments in in vitro tissue, International Symposium on Therapeutic Ultrasound 2007.

271. T Yates, P Probert-Smith, JA Noble, T Leslie, A McIntyre, R Phillips, G Ye, Treatment planning of HIFU: rigid registration of MRI to Ultrasound kidney images, International Symposium on Therapeutic Ultrasound 2007.

272. ND Cahill, JA Noble, DJ Hawkes, Fourier methods for nonparametric image registration, CVPR Workshop on Image Registration and Fusion , 2007.

273. S. Mansor, JA Noble and NP Hughes, Regional left ventricular wall motion analysis using Hidden Markov Models, MIUA 2007.

274. E. von Lavante and J.A. Noble, Improving the contrast of breast cancer masses in ultrasound using an autoregressive model based filter, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2007.

275. W. Zhang, JA Noble and J.M. Brady, Spatio-temporal registration of real-time 3D ultrasound to cardiovascular MR, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2007.

276. W. Zhang, JA Noble and J.M. Brady, Adaptive non-rigid registration of real-time 3D ultrasound to cardiovascular MR images, Proceedings of IPMI 2007.

277. N.D. Cahill, J.A. Noble, D.J. Hawkes, and L.A. Ray, Fast fluid registration with Dirichlet boundary conditions: a transform-based approach, IEEE ISBI 2007.

2006

278. JA Noble and D Boukerroui, Ultrasound Image Segmentation: A Survey, IEEE Transactions on Medical Imaging, 25(8), p 987-1010, 2006. 279. T. Yates, P. Probert Smith, J.A. Noble, T. Leslie and J. Kennedy, A comparison of phase and speckle tracking, registration methods for motion correction during HIFU treatment, ISTU 2006.

280. G. Ye, P. Probert Smith, JA Noble and F. Mayia, A model based approach to monitor temperature during HIFU thermal therapy, ISTU 2006.

281. J. Li, Y. Cui, M. Kadour and J.A. Noble, Elasticity imaging from displacement and confidence measures of multi-compressed ultrasound RF data, IEEE UFFC Symposium, 2006.

282. J. Li, Y. Cui, M. Kadour, J.A. Noble, Estimation of tissue elasticity parameters using a similarity based approach, Int. Symposium on Ultrasound Elasticity imaging 2006.

283. V Grau, H. Becher and J.A. Noble, Phase-based registration of multi-view real-time three-dimensional echocardiographic sequences, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2006.

284. V. Grau and JA Noble, Motion-guided anisotropic filtering of ultrasound sequences, IEEE ISBI 2006.

285. A.A. Appaji and JA Noble, Estimating cerebral blood flow from a rotational angiographic system, IEEE ISBI 2006.

286. W. Zhang, JA Noble and JM Brady, Real-time 3D ultrasound to MR cardiovascular image registration using a phase-based approach, IEEE ISBI 2006.

287. G. Ye, JA Noble and P. Probert-Smith, Estimating a parametric model of temperature distribution from an ultrasound image sequence during HIFU therapy, IEEE ISBI 2006.

2005

288. MJ Gooding, S. Kennedy and JA Noble, Temporal calibration of freehand three-dimensional ultrasound using image alignment, Ultrasound in Medicine and Biology 31(7):919-927, 2005.

289. M. Burcher, JA Noble, LH Han, MJ Gooding, A system for simultaneously measuring contact force, ultrasound and position information for use in force-based correction of freehand scanning, IEEE UFFC 52(8): 1330-1342, 2005.

290. M Gooding and JA Noble, Measurement of the speed of sound in follicular fluid, Human Reproduction, 20(2):497-500, 2005.

291. M-X, Tang, RJ Eckersley, JA Noble. Pressure-dependent attenuation with microbubbles at low mechanical index, Ultrasound in Medicine and Biology 31(3):377-384, 2005. 292. JA Noble, Cardiology meets Image Analysis: just another application or can image analysis usefully influence clinical practice? IEEE International Workshop on Computer Vision in Biomedical Image Analysis, Beijing, China, 2005. 293. V. Grau, JA Noble, Adaptive multiscale ultrasound compounding using phase information, Proceedings of MICCAI 2005. 294. J Li, Y. Cui, MJ Kadour and JA Noble, Estimation of tissue elasticity parameters using a similarity based approach, Proceedings MIUA 2005, p. 259-262.

295. V. Grau, JA Noble, Adaptive multiscale ultrasound compounding using phase information, Proceedings MIUA 2005, p. 135-138.

296. Q. Williams, JA Noble, A. Ehlgen, H. Becher, Tissue perfusion diagnostic classification using a spatio-temporal analysis of contrast ultrasound image sequences, 19th International Conference on Information Processing in Medical Imaging, 2005, p. 222-233.

2004

297. D Dawson, CA Lygate, J Saunders, J Schneider, X Ye, K Hulbert, JA Noble, S Neubauer, Quantitative 3D-Echocardiography for accurate and rapid cardiac phenotype characterization in mice, Circulation 110:1632-1637, 2004.

298. ACS Chung, P. Summers, and JA Noble , Vascular Segmentation in Phase Contrast Magnetic Resonance Angiograms based on Statistical Mixture Modelling and Local Phase Coherence, IEEE Trans Medical Imaging, 23(12): 1490-1507, 2004.

299. CE Jackson, M. Robson and JA Noble, Computerized planning of acquisition of cardiac MR images, Computerized Medical Imaging and Graphics 28:411-418, 2004.

300. JV Byrne, C Colominas, J Hipwell, T Cox, JA Noble, GP Penney, DJ Hawkes, An assessment of a technique for 2D-3D registration of cerebral intra-arterial angiography, British Journal of Radiology, 77:123-128, 2004.

301. D. Boukerroui, JA Noble and J.M. Brady, On band-pass quadrature filters, Journal of Mathematical Imaging and Vision 21:53-80, 2004.

302. M.J. Kadour and JA Noble, Pulse-shape optimization for displacement estimation, British Medical Ultrasound Society Meeting, 2004.

303. M.J. Gooding, D. Barber, S. Kennedy and JA Noble, The effect of follicle volume measurement on clinical decisions, MIUA 2004.

304. J-G Kim and JA Noble. Probabilistic shape analysis, MIUA 2004.

305. J Li, and JA Noble, Elasticity reconstruction from displacement and confidence measures of an ultrasound image sequence, MIUA 2004.

306. R Casero Canas, J. Timperley, JA Noble and H. Becher, Tracking of myocardial walls and study of contractility and thickening, MIUA 2004.

307. Q. Williams and JA Noble, A spatio-temporal analysis of contrast ultrasound image sequences for assessment of tissue perfusion, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2004.

308. J Li, Y. Cui and JA Noble, 3rd International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 2004.

309. J Li, Y. Cui and JA Noble, 3rd International Conference on the Ultrasonic Measurement and Imaging of Tissue Elasticity, 2004. 310. M Tang, RJ Eckersley, JA Noble, A study of pressure-dependent attenuation in ultrasound contrast imaging, ISBI 2004.

311. M Tang, RJ Eckersley, JA Noble, A model of non-linear attenuation for ultrasound contrast imaging, European Symposium on Ultrasound Contrast Imaging 2004.

2003

312. J.H. Hipwell, G.P. Penney, R.A. McLaughlin, K. Rhode, P. Summers, T.C. Cox, J.V. Byrne, J.A. Noble, and D.J. Hawkes, Intensity based 2D-3D registration of cerebral angiograms, IEEE Trans Medical Imaging, 22(11), 2003.

313. P. Wyatt and J.A . Noble, MAP-MRF joint segmentation and registration of medical images, Medical Image Analysis Journal 7: 539-552, 2003. (Special Issue of MICCAI 2002).

314. L.H. Han, JA Noble and M. Burcher, Measuring Biomechanical Properties of Soft Tissues in vivo using a Novel Indentation System, Ultrasound in Medicine and Biology 29(6): 813-823, 2003.

315. D. Boukerroui, A. Baskurt, JA Noble and O. Basset, Segmentation of ultrasound images: multi-resolution 2D and 3D algorithm based on local and global statistics, Pattern Recognition Letters 24:779-790, 2003.

316. J Li, JA Noble, LH Han and M Burcher, Inversion elasticity reconstruction of soft tissue using split-and-merge strategy from strain map of ultrasound image sequence, Int. Conference of IEEE UFFC Society, 2003.

317. P.P. Wyatt and J.A. Noble, A new method of validation of non-rigid registration, MIUA 2003.

318. M.J. Gooding, S. Kennedy and J.A. Noble, Volume reconstruction from sparse 3D ultrasonography, MICCAI 2003. Also presented at MIUA 2003.

319. J.-G. Kim and J.A. Noble, A model for an average planar shape, MIUA 2003.

320. C. Jackson, M. Robson, J. Francis and J.A. Noble, Automatic planning of the acquisition of cardiac MR images, International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2003. Also presented at MIUA 2003.

321. D. Boukerroui and J.A. Noble, Velocity estimation in ultrasound images: a block matching approach, 18th IPMI 2003.

2002

322. X. Ye, D. Atkinson and J.A. Noble, 3D freehand echocardiography for automatic LV reconstruction and analysis based on multiple acoustic windows, IEEE Trans Medical Imaging, 21(9):1051-1058, 2002. 323. . G.I. Sanchez-Ortiz, G.J.T. Wright, N. Clarke, J. Declerck, A. Banning and J.A. Noble, Automated 3D echocardiography compared to manual delineations and MUGA, IEEE Trans Medical Imaging 21(9):1069-1076, 2002.

324. G. Xiao, J.M. Brady, J.A. Noble, M. Burcher and R. English, Non-rigid registration of 3D free-hand ultrasound images of the breast, IEEE Trans Medical Imaging, 21(4), p. 405-412, 2002

325. G. Jacob, J. A. Noble, C. Behrenbruch, A.D. Kelion and A.P. Banning, A shape-space based approach to tracking myocardial thickening and quantifying regional left ventricular function, IEEE Trans. Medical Imaging, 21(3), p. 226-238, 2002.

326. A.C.S. Chung, J.A. Noble, and P. Summers, Fusing magnitude and phase information for vascular segmentation in phase contrast MR angiography, Medical Image Analysis Journal, 6(2), p. 109-128, 2002. (Special Issue of MICCAI 2001)

327. G. Xiao, J.M. Brady, JA Noble and Y. Zhang, Segmentation of ultrasound images with intensity inhomogeneity correction, IEEE Trans. Medical Imaging, 21(1), p. 48-57, 2002.

328. J.A. Noble, D. Dawson, J. Lindner, J. Sklenar and S. Kaul, Automated, non-rigid alignment of clinical myocardial contrast echocardiographic image sequences: comparison with manual alignment, Ultrasound in Medicine and Biology, 28(1), p. 115-123, 2002.

329. R.A. McLaughlin, J. Hipwell, D.J. Hawkes, J.A. Noble, J.V. Byrne and T. Cox, A comparison of intensity-based registration and feature-based registration for neurointerventions, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2002, pp. 517-524, 2002.

330. R.A. McLaughlin and J.A. Noble, Demarcation of aneurysms using the seed and cull algorithm, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2002, pp. 419-426, 2002.

331. P.P. Wyatt and J.A. Noble, MRF-MAP joint segmentation and registration, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2002, pp. 580-587, 2002.

332. L.Han, M. Burcher and J.A. Noble, Non-invasive measurement of biomechanical tissue properties, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2002, pp. 208-215, 2002.

333. X. Ye and J.A. Noble, High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm, Proceedings of IEEE Symposium on Medical Imaging 2002.

334. L. Han, JA Noble and M. Burcher, The elastic reconstruction of soft tissues, Proceedings of IEEE Symposium on Medical Imaging 2002.

2001

335. D. Boukerroui, JA Noble and J.M. Brady, Feature enhancement in low quality images with application to echocardiography, Ultrasound in Medicine and Biology, 27(12), p. 1583-1594, 2001. 336. D. Atkinson, M. Burcher, J. Declerck and J.A. Noble, Respiration motion correction for 3D freehand echocardiography, Ultrasound in Medicine and Biology, 27(12), p. 1615-1620, 2001.

337. Y. Kita, D.L. Wilson, JA Nobleand N. Kita, Extension of Territory-Based 3D-2D Registration Method for a Wide-Range of Applications, Trans IEICE of Japan, Vol. J84-D-II, No.8, p. 1682-1692, 2001.

338. G. Jacob, J.A. Noble, A.D. Kelion and A.P. Banning, Quantitative regional analysis of myocardial wall motion, Ultrasound in Medicine and Biology, vol. 27(6), p. 773-784, 2001.

339. M. Burcher, L. Han and J.A. Noble, Deformation correction in ultrasound imaging using contact force measurements, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis 2001, p. 63-70.

340. X. Ye, D. Atkinson and J.A. Noble, 3D freehand echocardiography for automatic LV reconstruction and analysis based on multiple acoustic windows, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCA 2001, October 2001, p. 778-785, 2001.

341. GJT Wright and J.A. Noble, Automated 3D echocardiography analysis compared with manual delineations and MUGA, Medical Image Understanding and Analysis, July 2001, p. 37-40,2001.

342. R.A. McLaughlin, J. Hipwell, G. Penney, A.C.S Chung, K.W. Rhodes, JA Noble and D. Hawkes, Feature-based registration versus Intensity-based registration in neurointerventions, Medical Image Understanding and Analysis, July 2001, p. 69-73, 2001.

343. X. Ye, D. Atkinson and J.A. Noble, 3D freehand echocardiography for automatic LV reconstruction and analysis based on multiple acoustic windows, Medical Image Understanding and Analysis 01, p. 41-45, 2001.

344. A.C.S. Chung, JA Noble and P. Summers and M. Brady, Three-dimensional vascular segmentation using MRA statistics and velocity field information in phase contrast MRA, 17th International conference on Information Processing in Medical Imaging, June 2001, p. 461-467.

345. D. Boukerroui, JA Noble and J.M. Brady, Feature enhancement in low quality images with application to echocardiography, 17th International Conference on Information Processing in Medical Imaging, June 2001, p. 453-460.

346. C.F. Beckmann, JA Noble and S.M. Smith, Investigating the intrinsic dimensionality of FMRI data for ICA, Human Brain Mapping 2001.

347. C.F. Beckmann, JA Noble and S.M. Smith, Spatio-temporal accuracy of ICA for FMRI, Human Brain Mapping 2001.

2000

348. Y. Kita, D.L. Wilson and J.A. Noble, Real-time registration of 3D cerebral vessels to X-ray angiograms, Trans. Inst. Elec.,Info, and Comm. Engineers, vol J83-D-II, January 2000, p.254-262 (in Japanese).

349. M. Mulet-Parada and J.A. Noble, 2D+T boundary detection in echocardiography, Medical Image Analysis, vol. 4(1), p.21-30, 2000 (Special issue on MICCAI 98).

350. G. Sanchez-Ortiz, J. Declerck, M. Mulet-Parada and J.A. Noble, Automating 3D echocardiographic image analysis, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2000, October 2000, p.687-696.

351. A.C. S. Chung, JA Noble and P. Summers, Fusing magnitude and phase information for vascular segmentation in phase contrast MR angiography, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI2000, October 2000, p. 166-175. Related work also presented at MIUA2000.

352. Y. Kita, J.A. Noble, D. Wilson and N. Kita, A quick multi-view 3D-2D registration method for a wide-range of applications, International Conference on Pattern Recognition 2000, p.981-986, 2000.

353. M.J. Ledesma-Carbayo, J. Declerck, JA Noble and A. Santos, Model of probe motion in transthoracic 3D echocardiography for assessing the precision in left ventricular cavity volume measurement, Proceedings of MIUA 2000.

354. G. Xiao, J.M. Brady, J.A. Noble, and Y. Zhang, Contrast enhancement and Segmentation of Ultrasound images – a statistical approach, SPIE Medical Imaging 2000, Image Processing SPIE Proceedings vol.3979, 2000.

1999

355. D. Wilson and J.A. Noble, An adaptive segmentation algorithm for extracting arteries and aneurysms from time-of-flight MRA data, IEEE Transactions on Medical Imaging, vol. 18(10), October 1999, p. 938-945.

356. D.L. Wilson, D.D. Royston, J.A. Noble, J.V. Byrne, Automatic determination of optimal X-ray projections for use during endovascular treatments of intracranial aneurysms, IEEE Transactions on Medical Imaging, vol 18(10), October 1999, p. 973-980.

357. G. Jacob, J.A. Noble, M. Mulet-Parada and A. Blake, Evaluating a robust contour tracker on echocardiographic sequences, Medical Image Analysis, vol 3(1), p.63-76, 1999.

358. A.C.S. Chung and J.A. Noble, Statistical 3D vessel segmentation using a Rician distribution, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 1999, Sept 1999, p82-89, 1999.

359. D. Boukerroui, O. Basset, A. Baskurt, A. Noble, Segmentation of echocardiographic data: multiresolution 2D and 3D algorithm based on grey level statistics, In International Conference on Medical Image Computing and Computer-Assisted Intervention, Sept 1999, p.516-523, 1999.

360. A.C.S. Chung and J.A. Noble, Statistical 3D vessel segmentation using a Rician distribution, Medical Image Understanding and Analysis, July 1999, p. 77-80, 1999.

361. G.I. Sanchez-Ortiz, J.A. Noble, G.J.T. Wright, J. Feldmar, M. Mulet-Parada, Automated LV Motion Analysis from 3D Echocardiography, Medical Image Understanding and Analysis, July 1999, p. 85-88, 1999.

362. C. Behrenbruch, M. Brady. G. Jacob, J.A. Noble, Adaptive multiresolution detection of the epicardial wall in 2D cardiac ultrasound, Medical Image Understanding and Analysis, July 1999, p. 89-92, 1999.

1998

363. A,Noble, R. Gupta, J. Mundy, A. Schmitz, and R. Hartley, High Precision X-Ray Stereo for Automated 3D CAD-based Inspection, IEEE Transactions on Robotics and Automation, vol 14(2), April 1998, p. 292-302.

364. Y. Kita, D. Wilson, A. Noble, Real-time registration of 3D cerebral vessels to X-ray angiograms, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 1998, p. 1125-1133, 1998.

365. D. Wilson, A. Noble, D. Royston, J. Byrne, Automatically finding optimal working projections for the endovascular coiling of intracranial aneurysms, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 1998, p. 814-821, 1998.

366. M. Mulet-Parada and J.A. Noble, 2D+T boundary detection in echocardiography, In International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 1998, p. 806-813, 1998. Related work also presented at MIUA98 and MBIA98.

367. D. Wilson, A. Noble, Pre-treatment planning for the endovascular coiling of intracranial saccular aneurysms, UK Medical Image Understanding and Analysis Conference, July 1998, p. 65-68.

368. M. Mulet-Parada and J.A. Noble, Intensity-invariant 2D+T acoustic boundary detection, IEEE Workshop on Biomedical Image Analysis 98, June 1998, p. 133-142.

369. G. Jacob, JA Noble and A. Blake, Robust contour tracking in echocardiographic sequences, 1998 International Conference on Computer Vision, Bombay, India, January 1998, p. 408-413.

370. V.-D. Nguyen, A. Noble, J. Mundy, J. Janning and J. Ross, Exhaustive detection of manufacturing flaws as abnormalities, 1998 IEEE Computer Vision and Pattern Recognition Conference, p. 945-952, 1998.

1997 371. A.Noble, D. Wilson and J. Ponce, On computing aspect graphs of smooth objects from volumetric data, Computer Vision and Image Understanding Journal, vol. 66(2), May 1997, p. 179-192.

372. G. Jacob and J.A. Noble, Evaluating a robust contour tracker on echocardiographic sequences, First UK Medical Image Understanding and Analysis Conference, July 1997, p. 81-84. Also presented at the 1997 British Machine Vision Conference.

373. D. Wilson, JA Noble and C. Pudney, From MR angiography to X-ray angiography, First UK Medical Image Understanding and Analysis Conference, July 1997, p. 161-164.

374. D. Wilson and A. Noble, Segmentation of cerebral vessels and aneurysms from MR angiography data, International Conference on Image Processing in Medical Imaging, June 1997, p. 423-428.

1996

375. A.Noble, The effect of morphological filters on texture boundary localization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 18(5), May 1996, p. 554-561.

376. .A. Noble, D. Wilson and J. Ponce, On Computing Aspect Graphs of Smooth Shapes from Volumetric Data Sets, IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, June 1996, p. 299-308.

377. A.Noble and E. Liang, Microstructure measurement of short fiber reinforced composites using automated image analysis, 12th Polymer Processing Society meeting, May 1996.

378. E. Liang, A. Noble, C. Tucker III, K.F. Heitzamann and J.F. O'Gara, A Round-Robin Comparison on the Fiber Orientation Measurements of Short-fiber-reinforced Composites, 12th Polymer Processing Society meeting, May 1996.

1995

379. A.Noble, From Inspection to Process Understanding and Monitoring: Computer Vision in Manufacturing, Image and Vision Computing Journal, vol.13 (3), April 1995, p. 197-214. Invited keynote paper in ``promising research'' series.

380. S.L. Kok, J.M. Brady, A. Noble, Mammogram Sequence Analysis, Asian Conference on Computer Vision, November 1995, p. 83-87.

381. R. Gupta, A. Noble, J. Mundy, R. Hartley, and A. Schmitz, Camera Calibration for 2.5-D X-ray Metrology, IEEE International Conference on Image Processing, September 1995, p. 37-40.

382. S. Marshall, J.A. Bangham, A. Noble and J.M. Brady, Review of Mathematical Morphology Research in UK.

383. D. Talmage, A. Noble and A. Zisserman, Uncalibrated X-ray Stereo, British Machine Vision Conference, September 1995, p. 187-196.

384. JA Noble and J.L. Mundy, The Application of X-Ray Stereo Metrology to Investment Casting Dimensional Control, Int. Conference on Modeling of Casting, Welding and Advanced Solidification Processes VII, September 1995, p. 897-904.

385. A. Noble, R. Gupta, J. Mundy, A. Schmitz, R. Hartley and W. Hoffman, CAD-based Inspection using X-ray Stereo, IEEE International Robotics & Automation Conference, June 1995,p. 2361-2365.

386. S. Sullivan, A. Noble, J. Ponce, On Reconstructing Curved Object Boundaries from Sparse Sets of X-Ray Images, 1995 International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, Nice, France, April 1995, p. 385-391.

1994

387. A.Noble, R. Hartley, J. Mundy, and J. Farley, X-ray metrology for quality assurance, IEEE International Robotics & Automation Conference, San Diego, CA, May 1994, vol. 2, p. 1113-1119. (Selected as one of best 6 conference papers).

388. R. Harley, A. Noble, J. Grande and J. Liu, Quantitative Measurement of Manufactured Diamond Shape, European Conference on Computer Vision, Stockholm, Sweden, May 1994, p. 433-440.

389. A. Noble and J. Mundy, Bayesian Part Tolerancing with Measurement Uncertainty, SPIE Proceedings - Neural and Stochastic Methods in Image and Signal Processing II, vol. 2032, p. 280-291, (invited talk).

1993

390. A. Noble and J. Mundy, Toward Template-based Tolerancing from a Bayesian Viewpoint, IEEE Computer Vision and Pattern Recognition Conference, New York City, NY, June 1993, p. 246-253.

391. A. Noble and J. Mundy, Constraint Processing Applied to Industrial Inspection and Continuous Product Improvement, DARPA Image Understanding Workshop, Washington D.C, April 1993, p. 801-809.

1992

392. J. Noble, Finding Half Boundaries in Images, Image and Vision Computing Journal, vol. 10(4), May 1992, p. 219-232.

393. J. Noble, Images as Functions and Sets, Image and Vision Computing Journal, vol. 10(1), Jan/Feb 1992, p. 19-29.

394. J. Mundy, J. Noble et. al, An Object-Oriented Approach to Template-Guided Visual Inspection, IEEE Computer Vision and Pattern Recognition Conference, Champaign, IL, June 1992, p. 385-392.

395. J. Noble et. al, Template-Guided Visual Inspection, European Conference on Computer Vision, Santa Margherita, Italy, May 1992, p. 893-901.

1989

396. J. Noble and J.M. Brady, Estimating Asymmetric Noise, Fifth Alvey Vision Conference, Reading, England, September 1989, p. 157-162.

1988

397. J. Noble, Finding Corners, Image and Vision Computing Journal, vol. 6(2), May 1988, p. 121-128. Special issue on papers from the Third Alvey Vision Conference.

398. J. Noble, Morphological Feature Detection, IEEE Second International Conference on Computer Vision, Tampa, Florida, December 1988, p. 112-116. A presentation of this work was also given at Fourth Alvey Vision Conference, Manchester, England, September 1988.

1987 399. Michael Brady, Stephen Cameron, Hugh Durrant-Whyte, Margaret Fleck, David Forsyth, Alison Noble and Ian Page, Progress towards a system that can acquire pallets and clean warehouses, Proceedings of the Fourth International Symposium on Robotics Research, Bretton Woods, Brady M., and Paul R., (ed.), MIT Press, 1987.

400. J. Noble, Finding Two Dimensional Image Structure, IEEE Computer Society Computer Vision Workshop, Miami Beach, Florida, December 1987,p. 222-224.

401. J. Noble, Finding Corners, Third Alvey Vision Conference, Cambridge, England, September 1987, p. 267-274.

SHORT BIOGRAPHY

Alison Noble was an undergraduate and a postgraduate research student at St Hugh’s College, Oxford

studying Engineering Science and Computer Vision respectively. She became a research scientist at

the GE Corporate R&D Center, Schenectady NY USA following DPhil (PhD) graduation before

appointment to the University of Oxford Engineering Science faculty in 1995. Alison Noble was elected

a Professor of Engineering Science in 2002 (jointly the first woman to hold a titular Professor title in

Engineering at Oxford), and was elected the Technikos Professor in Biomedical Engineering in 2011

(the first woman to hold a Chair in Engineering at Oxford). Professor Alison Noble was the Director of

the Institute of Biomedical Engineering from 2012-2016 and an Associate Head of the Mathematical,

Physical and Life Sciences Division at the University of Oxford 2016-2019.

Alison’s research interests are in ultrasound imaging, computational (machine-learning based) analysis

of images, and the development of decision-support tools for medical professionals. Her research is

motivated by clinical unmet needs in western and developing world healthcare settings. She received

the Royal Society Gabor Medal for her inter-disciplinary research contributions in 2019, and the same

year received the MICCAI Society Enduring Impact award. She co-founded Intelligent Ultrasound Ltd to

commercial research from her laboratory which was acquired by MedaPhor Group Plc in 2017.

Alison is a former president of the Medical Image Computing and Computer-Assisted Interventions

(MICCAI) Society, and her recent national roles include Chair of the EPSRC Healthcare Technologies

Strategic Advisory Team, and a member of REF 2021 Subpanel 12 (Engineering). Professor Alison

Noble is a Fellow of the Royal Academy of Engineering and of the Royal Society, a Trustee of the

Oxford Trust and a former Trustee of the Institute of Engineering Technology (IET). She received an

OBE for services to science and engineering in the Queen's Birthday Honours list in June 2013.

Last updated: 8 January 2020