Chen Chen

According to our database, Chen Chen authored at least 33 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.

Tareen Dawood, Chen Chen, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King

Medical Image Anal., August, 2023

Context Label Learning: Improving Background Class Representations in Semantic Segmentation.

Zeju Li, Konstantinos Kamnitsas, Cheng Ouyang, Chen Chen, Ben Glocker

IEEE Trans. Medical Imaging, June, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.

Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 2023

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.

Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2023

Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.

Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King

CoRR, 2023

Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation.

Jingjie Guo, Weitong Zhang, Matthew Sinclair, Daniel Rueckert, Chen Chen

CoRR, 2023

Detailed retinal vessel segmentation without human annotations using simulated optical coherence tomography angiographs.

Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, Chen Chen, Ahmed M. Hagag, Alaa E. Fayed, Sobha Sivaprasad, Sebastian Rausch, Julian Weichsel, Bjoern H. Menze, Matthias Harders, Benjamin Knier, Daniel Rueckert, Martin J. Menten

CoRR, 2023

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.

Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Self-Supervised Learning for Few-Shot Medical Image Segmentation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

IEEE Trans. Medical Imaging, 2022

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.

Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li

Medical Image Anal., 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion).

Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai

CoRR, 2022

Embedding Gradient-Based Optimization in Image Registration Networks.

Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation.

Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2022

Estimating Model Performance Under Domain Shifts with Class-Specific Confidence Scores.

Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation.

Chen Chen, Zeju Li, Cheng Ouyang, Matthew Sinclair, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

CoRR, 2021

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.

Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.

Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.

Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.

Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao

CoRR, 2020

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.

Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.

Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction.

Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.

Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Self-supervision with Superpixels: Training Few-Shot Medical Image Segmentation Without Annotation.

Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep learning for cardiac image segmentation: A review.

Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert

CoRR, 2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images.

Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, José Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert

CoRR, 2019

Automatic Cardiothoracic Ratio Calculation With Deep Learning.

Zhennan Li, Zhihui Hou, Chen Chen, Zhi Hao, Yunqiang An, Sen Liang, Bin Lu

IEEE Access, 2019

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.

Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation.

Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images.

Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen E. Petersen, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Multi-task Learning for Left Atrial Segmentation on GE-MRI.

Chen Chen, Wenjia Bai, Daniel Rueckert

Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018