Sotabase

Career

· Reader, Imperial College London2025–
· Senior Lecturer, Imperial College London2022–2025
· Lecturer, Imperial College London2018–2022
· Research Associate, Imperial College London2011–2018
· D.Phil, Engineering Science (Medical Imaging), University of Oxford2007–2011
· Master, Automation (Image Processing), Distinction, Tsinghua University2004–2007
· Bachelor, Automation, Distinction, Tsinghua University2000–2004

Publications (191)

Deep Learning for Cardiac Image Segmentation: A Review
Frontiers in Cardiovascular Medicine · 2019
779
cited
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
IEEE Transactions on Medical Imaging · 2017
699
cited
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
Journal of Cardiovascular Magnetic Resonance · 2017
647
cited
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
BrainLes@MICCAI · 2017
450
cited
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
Medical Image Anal. · 2020
420
cited
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2017
406
cited
DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
IEEE Transactions on Medical Imaging · 2016
401
cited
Cardiac Image Super-Resolution with Global Correspondence Using Multi-Atlas PatchMatch
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2013
262
cited
Right ventricle segmentation from cardiac MRI: A collation study
Medical Image Anal. · 2015
242
cited
Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect
Nature Genetics · 2021
235
cited
A population-based phenome-wide association study of cardiac and aortic structure and function
Nature Medicine · 2020
229
cited
Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2016
226
cited
A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images
IEEE Transactions on Medical Imaging · 2013
218
cited
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation
IEEE Transactions on Medical Imaging · 2021
218
cited
Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach
IEEE Transactions on Medical Imaging · 2018
202
cited
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2019
196
cited
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2018
176
cited
Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function
JACC Cardiovascular Imaging · 2019
164
cited
A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Medical Image Anal. · 2015
158
cited
Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge
Journal of Cardiovascular Magnetic Resonance · 2013
156
cited
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Dr Wenjia Bai | Researcher Profile | Sotabase | Sotabase