|A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: Application to cardiac MR images|
W Bai, W Shi, DP O'Regan, T Tong, H Wang, S Jamil-Copley, NS Peters, ...
IEEE Transactions on Medical Imaging 32 (7), 1302-1315, 2013
|Anatomically constrained neural networks (ACNN): Application to cardiac image enhancement and segmentation|
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, S Cook, ...
IEEE Transactions on Medical Imaging 37 (2), 384-395, 2018
|Multi-atlas segmentation with augmented features for cardiac MR images|
W Bai, W Shi, C Ledig, D Rueckert
Medical Image Analysis, 2014
|Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study|
LC Malcolme-Lawes, C Juli, R Karim, W Bai, R Quest, PB Lim, ...
Heart Rhythm 10 (8), 1184-1191, 2013
|Cardiac image super-resolution with global correspondence using multi-atlas patchmatch|
W Shi, J Caballero, C Ledig, X Zhuang, W Bai, K Bhatia, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2013
|Evaluation of current algorithms for segmentation of scar tissue from late gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand …|
R Karim, RJ Housden, M Balasubramaniam, Z Chen, D Perry, A Uddin, ...
Journal of Cardiovascular Magnetic Resonance 15 (105), 1, 2013
|Right ventricle segmentation from cardiac MRI: A collation study|
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical Image Analysis, 2014
|Ensembles of multiple models and architectures for robust brain tumour segmentation|
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
MICCAI Brainlesion Workshop, 450-462, 2017
|Multi-input cardiac image super-resolution using convolutional neural networks|
O Oktay, W Bai, M Lee, R Guerrero, K Kamnitsas, J Caballero, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
|DeepCut: Object segmentation from bounding box annotations using convolutional neural networks|
M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ...
IEEE Transactions on Medical Imaging 36 (2), 674-683, 2017
|Regularized B-spline deformable registration for respiratory motion correction in PET images|
W Bai, M Brady
Physics in Medicine & Biology 54 (9), 2719, 2009
|Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge|
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
|Motion correction and attenuation correction for respiratory gated PET images|
W Bai, M Brady
IEEE Transactions on Medical Imaging 30 (2), 351-365, 2011
|Automated cardiovascular magnetic resonance image analysis with fully convolutional networks|
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
Journal of Cardiovascular Magnetic Resonance 20 (65), 2018
|A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion|
W Bai, W Shi, A de Marvao, TJW Dawes, DP O’Regan, SA Cook, ...
Medical Image Analysis 26 (1), 133-145, 2015
|Temporal sparse free-form deformations|
W Shi, M Jantsch, P Aljabar, L Pizarro, W Bai, H Wang, D O’Regan, ...
Medical Image Analysis 17 (7), 779-789, 2013
|Semi-supervised learning for network-based cardiac MR image segmentation|
W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
|Registration using sparse free-form deformations|
W Shi, X Zhuang, L Pizarro, W Bai, H Wang, KP Tung, P Edwards, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2012
|Automatic dendritic spine analysis in two‐photon laser scanning microscopy images|
W Bai, X Zhou, L Ji, J Cheng, STC Wong
Cytometry Part A: The Journal of the International Society for Analytical …, 2007
|Reverse classification accuracy: Predicting segmentation performance in the absence of ground truth|
VV Valindria, I Lavdas, W Bai, K Kamnitsas, EO Aboagye, AG Rockall, ...
IEEE Transactions on Medical Imaging 36 (8), 1597-1606, 2017