| Abdomenct-1k: Is abdominal organ segmentation a solved problem? J Ma, Y Zhang, S Gu, C Zhu, C Ge, Y Zhang, X An, C Wang, Q Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6695 …, 2021 | 260 | 2021 |
| Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation R Jiao, Y Zhang, L Ding, B Xue, J Zhang, R Cai, C Jin Computers in Biology and Medicine 169, 107840, 2023 | 75 | 2023 |
| Segment anything model for medical image segmentation: Current applications and future directions Y Zhang, Z Shen, R Jiao Computers in Biology and Medicine 171, 108238, 2024 | 48* | 2024 |
| Bridging 2D and 3D segmentation networks for computation-efficient volumetric medical image segmentation: An empirical study of 2.5 D solutions Y Zhang, Q Liao, L Ding, J Zhang Computerized Medical Imaging and Graphics 99, 102088, 2022 | 44 | 2022 |
| Uncertainty-guided mutual consistency learning for semi-supervised medical image segmentation Y Zhang, R Jiao, Q Liao, D Li, J Zhang Artificial Intelligence in Medicine 138, 102476, 2023 | 38 | 2023 |
| Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A Lalande, Z Chen, T Pommier, T Decourselle, A Qayyum, M Salomon, ... Medical Image Analysis 79, 102428, 2022 | 38 | 2022 |
| Dual-task mutual learning for semi-supervised medical image segmentation Y Zhang, J Zhang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 38 | 2021 |
| Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation Y Zhang, Q Liao, L Yuan, H Zhu, J Xing, J Zhang IEEE Journal of Biomedical and Health Informatics 25 (11), 4152-4162, 2021 | 33 | 2021 |
| Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI Y Zhang MICCAI Workshop on Statistical Atlases and Computational Models of the Heart …, 2020 | 27 | 2020 |
| SAU-Net: Efficient 3D Spine MRI Segmentation Using Inter-Slice Attention Y Zhang, L Yuan, Y Wang, J Zhang International Conference on Medical Imaging with Deep Learning, 903-913, 2020 | 27 | 2020 |
| Mamba-unet: Unet-like pure visual mamba for medical image segmentation Z Wang, JQ Zheng, Y Zhang, G Cui, L Li arXiv preprint arXiv:2402.05079, 2024 | 21 | 2024 |
| Segment anything model with uncertainty rectification for auto-prompting medical image segmentation Y Zhang, S Hu, C Jiang, Y Cheng, Y Qi arXiv preprint arXiv:2311.10529, 2023 | 5 | 2023 |
| Semisam: Exploring sam for enhancing semi-supervised medical image segmentation with extremely limited annotations Y Zhang, Y Cheng, Y Qi arXiv preprint arXiv:2312.06316, 2023 | 3 | 2023 |
| Competitive Ensembling Teacher-Student Framework for Semi-Supervised Left Atrium MRI Segmentation Y Shi, Y Zhang, S Wang IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023 | 3 | 2023 |
| Learning with limited annotations: a survey on deep semi-supervised learning for medical image segmentation. arXiv R Jiao, Y Zhang, L Ding, R Cai, J Zhang | 3 | 2022 |
| D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation J Yang, P Qiu, Y Zhang, DS Marcus, A Sotiras arXiv preprint arXiv:2403.10674, 2024 | 1 | 2024 |
| Beyond Pixel-Wise Supervision for Medical Image Segmentation: From Traditional Models to Foundation Models Y Shi, J Ma, J Yang, S Wang, Y Zhang arXiv preprint arXiv:2404.13239, 2024 | | 2024 |
| Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification Y Zhang, S Hu, S Ren, C Jiang, Y Cheng, Y Qi | | 2024 |
Jun MaUniversity of TorontoVerified email at mail.utoronto.ca
