| Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss Q Dou, C Ouyang, C Chen, H Chen, PA Heng arXiv preprint arXiv:1804.10916, 2018 | 343 | 2018 |
| 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 | 270 | 2020 |
| Pnp-adanet: Plug-and-play adversarial domain adaptation network at unpaired cross-modality cardiac segmentation Q Dou, C Ouyang, C Chen, H Chen, B Glocker, X Zhuang, PA Heng IEEE Access 7, 99065-99076, 2019 | 233 | 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 | 173 | 2022 |
| Data Efficient Unsupervised Domain Adaptation for Cross-Modality Image Segmentation C Ouyang, K Kamnitsas, C Biffi, J Duan, D Rueckert arXiv preprint arXiv:1907.02766, 2019 | 126 | 2019 |
| 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 | 119 | 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 | 111 | 2020 |
| VS-Net: Variable splitting network for accelerated parallel MRI reconstruction J Duan, J Schlemper, C Qin, C Ouyang, W Bai, C Biffi, G Bello, B Statton, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 106 | 2019 |
| Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation C Chen, C Ouyang, G Tarroni, J Schlemper, H Qiu, W Bai, D Rueckert https://arxiv.org/abs/1908.07344, 2019 | 83 | 2019 |
| 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 | 77 | 2022 |
| Enhancing MR image segmentation with realistic adversarial data augmentation C Chen, C Qin, C Ouyang, Z Li, S Wang, H Qiu, L Chen, G Tarroni, W Bai, ... Medical Image Analysis 82, 102597, 2022 | 46 | 2022 |
| 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 | 42 | 2022 |
| Cooperative training and latent space data augmentation for robust medical image segmentation C Chen, K Hammernik, C Ouyang, C Qin, W Bai, D Rueckert Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 41 | 2021 |
| Zero-shot ecg classification with multimodal learning and test-time clinical knowledge enhancement C Liu, Z Wan, C Ouyang, A Shah, W Bai, R Arcucci arXiv preprint arXiv:2403.06659, 2024 | 22 | 2024 |
| The extreme cardiac MRI analysis challenge under respiratory motion (CMRxMotion) S Wang, C Qin, C Wang, K Wang, H Wang, C Chen, C Ouyang, X Kuang, ... arXiv preprint arXiv:2210.06385, 2022 | 17 | 2022 |
| Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction J Schlemper, J Duan, C Ouyang, C Qin, J Caballero, JV Hajnal, ... arXiv preprint arXiv:1909.11795, 2019 | 17 | 2019 |
| Parallel beamlet dose calculation via beamlet contexts in a distributed multi‐GPU framework R Neph, C Ouyang, J Neylon, Y Yang, K Sheng Medical physics 46 (8), 3719-3733, 2019 | 15 | 2019 |
| T3d: Towards 3d medical image understanding through vision-language pre-training C Liu, C Ouyang, Y Chen, CC Quilodrán-Casas, L Ma, J Fu, Y Guo, ... arXiv preprint arXiv:2312.01529, 2023 | 14 | 2023 |
| Robust segmentation via topology violation detection and feature synthesis L Li, Q Ma, C Ouyang, Z Li, Q Meng, W Zhang, M Qiao, V Kyriakopoulou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 11 | 2023 |
| Unsupervised domain adaptation of convnets for medical image segmentation via adversarial learning Q Dou, C Chen, C Ouyang, H Chen, PA Heng Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019 | 9 | 2019 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
