Takip et
Wenjia Bai (柏文佳)
Wenjia Bai (柏文佳)
Senior Lecturer (Associate Professor), Imperial College London
imperial.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Alıntı yapanlar
Alıntı yapanlar
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
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
Deep learning for cardiac image segmentation: A review
C Chen, C Qin, H Qiu, G Tarroni, J Duan, W Bai, D Rueckert
Frontiers in Cardiovascular Medicine, 2020
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
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
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
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
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
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
Right ventricle segmentation from cardiac MRI: A collation study
C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ...
Medical Image Analysis 19 (1), 187-202, 2014
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
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ...
Medical Image Analysis, 101832, 2020
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
J Duan, G Bello, J Schlemper, W Bai, TJW Dawes, C Biffi, A de Marvao, ...
IEEE Transactions on Medical Imaging 38 (9), 2151-2164, 2019
Self-supervised learning for cardiac MR image segmentation by anatomical position prediction
W Bai, C Chen, G Tarroni, J Duan, F Guitton, SE Petersen, Y Guo, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect
R Tadros, C Francis, X Xu, A Vermeer, AR Harper, R Huurman, ...
Nature Genetics 53 (2), 128-134, 2021
Multi-atlas segmentation with augmented features for cardiac MR images
W Bai, W Shi, C Ledig, D Rueckert
Medical Image Analysis 19 (1), 98-109, 2014
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
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
Joint learning of motion estimation and segmentation for cardiac MR image sequences
C Qin, W Bai, J Schlemper, SE Petersen, SK Piechnik, S Neubauer, ...
International Conference on Medical Image Computing and Computer Assisted …, 2018
Fully automated, quality-controlled cardiac analysis from CMR: Validation and large-scale application to characterize cardiac function
B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ...
JACC: Cardiovascular Imaging, 2019
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Makaleler 1–20