| Segment anything in medical images J Ma, Y He, F Li, L Han, C You, B Wang Nature Communications 15 (1), 654, 2024 | 1071 | 2024 |
| CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE) C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ... IEEE transactions on medical imaging 39 (1), 188-203, 2019 | 510 | 2019 |
| Structurally-sensitive multi-scale deep neural network for low-dose CT denoising C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ... IEEE access 6, 41839-41855, 2018 | 254 | 2018 |
| SimCVD: Simple contrastive voxel-wise representation distillation for semi-supervised medical image segmentation C You, Y Zhou, R Zhao, L Staib, JS Duncan IEEE Transactions on Medical Imaging 41 (9), 2228-2237, 2022 | 236 | 2022 |
| Auto-encoding knowledge graph for unsupervised medical report generation F Liu, C You, X Wu, S Ge, X Sun Advances in Neural Information Processing Systems 34, 16266-16279, 2021 | 126 | 2021 |
| Momentum contrastive voxel-wise representation learning for semi-supervised volumetric medical image segmentation C You, R Zhao, LH Staib, JS Duncan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 124 | 2022 |
| Class-aware adversarial transformers for medical image segmentation C You, R Zhao, F Liu, S Dong, S Chinchali, U Topcu, L Staib, J Duncan Advances in Neural Information Processing Systems 35, 29582-29596, 2022 | 122 | 2022 |
| NuSeT: A deep learning tool for reliably separating and analyzing crowded cells L Yang, RP Ghosh, JM Franklin, S Chen, C You, RR Narayan, ... PLoS computational biology 16 (9), e1008193, 2020 | 106 | 2020 |
| Bootstrapping semi-supervised medical image segmentation with anatomical-aware contrastive distillation C You, W Dai, Y Min, L Staib, JS Duncan International conference on information processing in medical imaging, 641-653, 2023 | 76 | 2023 |
| A survey of large language models in medicine: Progress, application, and challenge H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li, SS Chen, P Zhou, J Liu, ... arXiv preprint arXiv:2311.05112, 2023 | 75 | 2023 |
| Kergnns: Interpretable graph neural networks with graph kernels A Feng, C You, S Wang, L Tassiulas Proceedings of the AAAI conference on artificial intelligence 36 (6), 6614-6622, 2022 | 73 | 2022 |
| Low-dose CT via deep CNN with skip connection and network-in-network C You, L Yang, Y Zhang, G Wang Developments in X-Ray tomography XII 11113, 429-434, 2019 | 65 | 2019 |
| Rethinking semi-supervised medical image segmentation: A variance-reduction perspective C You, W Dai, Y Min, F Liu, D Clifton, SK Zhou, L Staib, J Duncan Advances in neural information processing systems 36, 2024 | 64 | 2024 |
| Super-resolution MRI through deep learning Q Lyu*, C You*, H Shan, G Wang arXiv preprint arXiv:1810.06776 (* Equal Contribution), 2018 | 61 | 2018 |
| Unsupervised wasserstein distance guided domain adaptation for 3d multi-domain liver segmentation C You, J Yang, J Chapiro, JS Duncan Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 60 | 2020 |
| Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... Advances in Neural Information Processing Systems 36, 2024 | 59 | 2024 |
| Self-supervised contrastive cross-modality representation learning for spoken question answering C You, N Chen, Y Zou arXiv preprint arXiv:2109.03381, 2021 | 59 | 2021 |
| Super-resolution MRI and CT through GAN-circle Q Lyu*, C You*, H Shan, Y Zhang, G Wang Developments in X-ray tomography XII 11113, 202-208 (* Equal Contribution), 2019 | 59 | 2019 |
| Incremental learning meets transfer learning: Application to multi-site prostate mri segmentation C You, J Xiang, K Su, X Zhang, S Dong, J Onofrey, L Staib, JS Duncan International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 58 | 2022 |
| Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels C You, W Dai, F Liu, Y Min, NC Dvornek, X Li, DA Clifton, L Staib, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 51 | 2024 |
James S. DuncanEbenezer K. Hunt Professor of Biomedical Engineering, Radiology, Electr. Engr., Yale UniversityVerified email at yale.edu
