| ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge Y Li, Z Li, K Zhang, R Dan, S Jiang, Y Zhang Cureus 15 (6), 2023 | 297* | 2023 |
| Lvit: language meets vision transformer in medical image segmentation Z Li, Y Li, Q Li, P Wang, D Guo, L Lu, D Jin, Y Zhang, Q Hong IEEE Transactions on Medical Imaging, 2023 | 66 | 2023 |
| Implicit Neural Representation for Cooperative Low-light Image Enhancement S Yang, M Ding, Y Wu, Z Li, J Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 44 | 2023 |
| Tfcns: A cnn-transformer hybrid network for medical image segmentation Z Li, D Li, C Xu, W Wang, Q Hong, Q Li, J Tian International Conference on Artificial Neural Networks, 781-792, 2022 | 44 | 2022 |
| SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation Y Wang*, Z Li*, J Mei*, Z Wei*, L Liu, C Wang, S Sang, A Yuille, C Xie, ... Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023 | 19 | 2023 |
| nnSAM: Plug-and-play Segment Anything Model Improves nnUNet Performance Y Li, B Jing, Z Li, J Wang, Y Zhang arXiv preprint arXiv:2309.16967, 2023 | 11 | 2023 |
| Mrdff: A deep forest based framework for ct whole heart segmentation F Xu, L Lin, Z Li, Q Hong, K Liu, Q Wu, Q Li, Y Zheng, J Tian Methods 208, 48-58, 2022 | 9 | 2022 |
| ScribbleVC: Scribble-supervised Medical Image Segmentation with Vision-Class Embedding Z Li, Y Zheng, X Luo, D Shan, Q Hong Proceedings of the 31st ACM International Conference on Multimedia (ACM MM '23), 2023 | 7 | 2023 |
| ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image Segmentation Z Li, Y Zheng, D Shan, S Yang, Q Li, B Wang, Y Zhang, Q Hong, D Shen IEEE Transactions on Medical Imaging, 2024 | 6 | 2024 |
| Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment D Shan*, Z Li*, W Chen, Q Li, J Tian, Q Hong ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 6 | 2023 |
| CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography Y Qiu, Z Li, Y Wang, P Dong, D Wu, X Yang, Q Hong, D Shen Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, 2023 | 6 | 2023 |
| Semi-wtc: A practical semi-supervised framework for attack categorization through weight-task consistency Z Li, W Chen, Z Wei, X Luo, B Su arXiv preprint arXiv:2205.09669, 2022 | 6 | 2022 |
| A distance transformation deep forest framework with hybrid-feature fusion for cxr image classification Q Hong, L Lin, Z Li, Q Li, J Yao, Q Wu, K Liu, J Tian IEEE Transactions on Neural Networks and Learning Systems, 2023 | 5 | 2023 |
| Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer Z Han, Z Zhang, X Yang, Z Li, S Sang, MT Islam, AA Guo, Z Li, X Wang, ... Journal for Immunotherapy of Cancer 12 (5), 2024 | 1 | 2024 |
| Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases X Luo, Z Li, S Zhang, W Liao, G Wang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2024, 2024 | | 2024 |
Yunxiang LiUniversity of Texas Southwestern Medical Center在 UTSouthwestern.edu 的电子邮件经过验证
