| 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 7, 25, 2020 | 860 | 2020 |
| 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 67, 101832, 2021 | 347 | 2021 |
| Self-supervision with superpixels: Training few-shot medical image segmentation without annotation C Ouyang, C Biffi, C Chen, T Kart, H Qiu, D Rueckert Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 277 | 2020 |
| 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 | 227 | 2019 |
| Causality-inspired single-source domain generalization for medical image segmentation C Ouyang, C Chen, S Li, Z Li, C Qin, W Bai, D Rueckert IEEE Transactions on Medical Imaging 42 (4), 1095-1106, 2022 | 180 | 2022 |
| Improving the generalizability of convolutional neural network-based segmentation on CMR images C Chen, W Bai, RH Davies, AN Bhuva, C Manisty, JC Moon, N Aung, ... Frontiers in Cardiovascular Medicine 7, 105, 2020 | 147 | 2020 |
| Self-supervised learning for few-shot medical image segmentation C Ouyang, C Biffi, C Chen, T Kart, H Qiu, D Rueckert IEEE Transactions on Medical Imaging 41 (7), 1837-1848, 2022 | 122 | 2022 |
| Realistic adversarial data augmentation for MR image segmentation C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 114 | 2020 |
| Multi-task learning for left atrial segmentation on GE-MRI C Chen, W Bai, D Rueckert Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 90 | 2019 |
| Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 83 | 2020 |
| Cardiac segmentation on late gadolinium enhancement MRI: a benchmark study from multi-sequence cardiac MR segmentation challenge X Zhuang, J Xu, X Luo, C Chen, C Ouyang, D Rueckert, VM Campello, ... Medical Image Analysis 81, 102528, 2022 | 78 | 2022 |
| Learning shape priors for robust cardiac MR segmentation from multi-view images C Chen, C Biffi, G Tarroni, S Petersen, W Bai, D Rueckert Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 68 | 2019 |
| Automatic Cardiothoracic Ratio Calculation With Deep Learning Z Li, Z Hou, C Chen, Z Hao, Y An, S Liang, B Lu IEEE Access 7, 37749 - 37756, 2019 | 68 | 2019 |
| M-flag: Medical vision-language pre-training with frozen language models and latent space geometry optimization C Liu, S Cheng, C Chen, M Qiao, W Zhang, A Shah, W Bai, R Arcucci International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 59 | 2023 |
| Enhancing MR image segmentation with realistic adversarial data augmentation C Chen, C Qin, C Ouyang, S Wang, H Qiu, L Chen, G Tarroni, W Bai, ... arXiv preprint arXiv:2108.03429, 2021 | 48 | 2021 |
| Maxstyle: Adversarial style composition for robust medical image segmentation C Chen, Z Li, C Ouyang, M Sinclair, W Bai, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 43 | 2022 |
| Interpretable deep models for cardiac resynchronisation therapy response prediction E Puyol-Antón, C Chen, JR Clough, B Ruijsink, BS Sidhu, J Gould, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 42 | 2020 |
| Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation C Chen, K Hammernik, C Ouyang, C Qin, W Bai, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 41 | 2021 |
| Biomechanics-informed neural networks for myocardial motion tracking in MRI C Qin, S Wang, C Chen, H Qiu, W Bai, D Rueckert Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 34 | 2020 |
| Deep generative model-based quality control for cardiac MRI segmentation S Wang, G Tarroni, C Qin, Y Mo, C Dai, C Chen, B Glocker, Y Guo, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 31 | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College LondonZweryfikowany adres z tum.de
