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Oxford Biomedical Image Analysis
Oxford Biomedical Image Analysis
Institute of Biomedical Engineering, University of Oxford
Verified email at eng.ox.ac.uk
Title
Cited by
Cited by
Year
International standards for newborn weight, length, and head circumference by gestational age and sex: the Newborn Cross-Sectional Study of the INTERGROWTH-21st Project
J Villar, LC Ismail, CG Victora, EO Ohuma, E Bertino, DG Altman, ...
The Lancet 384 (9946), 857-868, 2014
19112014
Ultrasound image segmentation: a survey
JA Noble, D Boukerroui
IEEE Transactions on medical imaging 25 (8), 987-1010, 2006
14202006
Improved watershed transform for medical image segmentation using prior information
V Grau, AUJ Mewes, M Alcaniz, R Kikinis, SK Warfield
IEEE transactions on medical imaging 23 (4), 447-458, 2004
10032004
The biology of platelet-rich plasma and its application in trauma and orthopaedic surgery: a review of the literature
J Alsousou, M Thompson, P Hulley, A Noble, K Willett
The Journal of Bone & Joint Surgery British Volume 91 (8), 987-996, 2009
8652009
International standards for fetal growth based on serial ultrasound measurements: the Fetal Growth Longitudinal Study of the INTERGROWTH-21st Project
AT Papageorghiou, EO Ohuma, DG Altman, T Todros, LC Ismail, ...
The Lancet 384 (9946), 869-879, 2014
8122014
Highly multiplexed single-cell analysis of formalin-fixed, paraffin-embedded cancer tissue
MJ Gerdes, CJ Sevinsky, A Sood, S Adak, MO Bello, A Bordwell, A Can, ...
Proceedings of the National Academy of Sciences 110 (29), 11982-11987, 2013
6792013
Shape and appearance context modeling
X Wang, G Doretto, T Sebastian, J Rittscher, P Tu
2007 ieee 11th international conference on computer vision, 1-8, 2007
6292007
Microscopy cell counting and detection with fully convolutional regression networks
W Xie, JA Noble, A Zisserman
Computer methods in biomechanics and biomedical engineering: Imaging …, 2018
5992018
Finding corners
JA Noble
Image and vision computing 6 (2), 121-128, 1988
5111988
The ‘Digital Twin’to enable the vision of precision cardiology
J Corral-Acero, F Margara, M Marciniak, C Rodero, F Loncaric, Y Feng, ...
European heart journal 41 (48), 4556-4564, 2020
4392020
Weakly-supervised convolutional neural networks for multimodal image registration
Y Hu, M Modat, E Gibson, W Li, N Ghavami, E Bonmati, G Wang, ...
Medical image analysis 49, 1-13, 2018
4062018
Postnatal growth standards for preterm infants: the Preterm Postnatal Follow-up Study of the INTERGROWTH-21st Project
J Villar, F Giuliani, ZA Bhutta, E Bertino, EO Ohuma, LC Ismail, FC Barros, ...
The Lancet Global Health 3 (11), e681-e691, 2015
3562015
International estimated fetal weight standards of the INTERGROWTH‐21st Project
J Stirnemann, J Villar, LJ Salomon, E Ohuma, P Ruyan, DG Altman, ...
Ultrasound in Obstetrics & Gynecology 49 (4), 478-486, 2017
3452017
Global and regional left ventricular myocardial deformation measures by magnetic resonance feature tracking in healthy volunteers: comparison with tagging and relevance of gender
D Augustine, AJ Lewandowski, M Lazdam, A Rai, J Francis, S Myerson, ...
Journal of Cardiovascular Magnetic Resonance 15 (1), 8, 2013
3312013
International Fetal and Newborn Growth Consortium for the 21st Century (INTERGROWTH-21st). International standards for newborn weight, length, and head circumference by …
J Villar, L Cheikh Ismail, CG Victora, EO Ohuma, E Bertino, DG Altman, ...
Lancet 384 (9946), 857-868, 2014
3292014
A probabilistic background model for tracking
J Rittscher, J Kato, S Joga, A Blake
Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000
3242000
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
J Villar, AT Papageorghiou, R Pang, EO Ohuma, LC Ismail, FC Barros, ...
The lancet Diabetes & endocrinology 2 (10), 781-792, 2014
3012014
International conference on medical image computing and computer-assisted intervention
Ö Çiçek, A Abdulkadir, SS Lienkamp, T Brox, O Ronneberger
3d u-net: learning dense volumetric segmentation from sparse annotation, 2016
294*2016
The objectives, design and implementation of the INTERGROWTH‐21st Project
J Villar, DG Altman, M Purwar, JA Noble, HE Knight, P Ruyan, ...
BJOG: An International Journal of Obstetrics & Gynaecology 120, 9-26, 2013
2892013
Segmentation of ultrasound B-mode images with intensity inhomogeneity correction
G Xiao, M Brady, JA Noble, Y Zhang
IEEE Transactions on medical imaging 21 (1), 48-57, 2002
2652002
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