Wenjia Bai

Overview

Best Publications

• Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

  Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  1791
  Citations

• Deep Learning for Cardiac Image Segmentation: A Review.

  Chen Chen;Chen Qin;Huaqi Qiu;Giacomo Tarroni;Giacomo Tarroni

  984
  Citations

• Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation

  Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich

  782
  Citations

• Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

  Wenjia Bai;Matthew Sinclair;Giacomo Tarroni;Ozan Oktay

  763
  Citations

• Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

  Konstantinos Kamnitsas;Wenjia Bai;Enzo Ferrante;Steven G. McDonagh

  476
  Citations

• DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks

  Martin Rajchl;Matthew C. H. Lee;Ozan Oktay;Konstantinos Kamnitsas

  442
  Citations

• Semi-supervised learning for network-based cardiac MR image segmentation

  Wenjia Bai;Ozan Oktay;Matthew Sinclair;Hideaki Suzuki

  435
  Citations

• A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

  Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  428
  Citations

• Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation

  Ozan Oktay;Enzo Ferrante;Konstantinos Kamnitsas;Mattias Heinrich

  331
  Citations

• Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

  Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  271
  Citations

• A Probabilistic Patch-Based Label Fusion Model for Multi-Atlas Segmentation With Registration Refinement: Application to Cardiac MR Images

  Wenjia Bai;Wenzhe Shi;D. P. O'Regan;Tong Tong

  260
  Citations

• Right ventricle segmentation from cardiac MRI: a collation study.

  Caroline Petitjean;Maria A. Zuluaga;Wenjia Bai;Jean Nicolas Dacher

  254
  Citations

• Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks

  Ozan Oktay;Wenjia Bai;Matthew C. H. Lee;Ricardo Guerrero

  252
  Citations

• A population-based phenome-wide association study of cardiac and aortic structure and function

  Wenjia Bai;Hideaki Suzuki;Hideaki Suzuki;Jian Huang;Catherine Francis

  250
  Citations

• 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

  Rashed Karim;R. James Housden;Mayuragoban Balasubramaniam;Zhong Chen

  225
  Citations

• Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach

  Jinming Duan;Ghalib Bello;Jo Schlemper;Wenjia Bai

  224
  Citations

• Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.

  Bram Ruijsink;Bram Ruijsink;Esther Puyol-Antón;Ilkay Oksuz;Matthew Sinclair

  187
  Citations

• A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

  Wenjia Bai;Wenzhe Shi;Antonio M. Simoes Monteiro de Marvao;Timothy J. W. Dawes

  186
  Citations

• Self-supervised learning for cardiac MR image segmentation by anatomical position prediction

  Wenjia Bai;Chen Chen;Giacomo Tarroni;Jinming Duan

  185
  Citations

• Multi-atlas segmentation with augmented features for cardiac MR images

  Wenjia Bai;Wenzhe Shi;Christian Ledig;Daniel Rueckert

  182
  Citations

• Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

  Jinming Duan;Ghalib Bello;Jo Schlemper;Wenjia Bai

  18
  Citations