| Polyp-sam: Transfer sam for polyp segmentation Y Li, M Hu, X Yang Medical Imaging 2024: Computer-Aided Diagnosis 12927, 759-765, 2024 | 168 | 2024 |
| Synthetic CT generation from MRI using 3D transformer‐based denoising diffusion model S Pan, E Abouei, J Wynne, CW Chang, T Wang, RLJ Qiu, Y Li, J Peng, ... Medical Physics 51 (4), 2538-2548, 2024 | 140 | 2024 |
| Skinsam: Empowering skin cancer segmentation with segment anything model M Hu, Y Li, X Yang arXiv preprint arXiv:2304.13973, 2023 | 113 | 2023 |
| Med-r1: Reinforcement learning for generalizable medical reasoning in vision-language models Y Lai, J Zhong, M Li, S Zhao, Y Li, K Psounis, X Yang arXiv preprint arXiv:2503.13939, 2025 | 101 | 2025 |
| Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT M Hu, S Pan, Y Li, X Yang arXiv preprint arXiv:2304.04920, 2023 | 61 | 2023 |
| Advancing medical imaging with language models: featuring a spotlight on ChatGPT M Hu, J Qian, S Pan, Y Li, RLJ Qiu, X Yang Physics in Medicine & Biology 69 (10), 10TR01, 2024 | 48 | 2024 |
| BreastSAM: A Study of Segment Anything Model for Breast Tumor Detection in Ultrasound Images M Hu, Y Li, X Yang arXiv preprint arXiv:2305.12447, 2023 | 30* | 2023 |
| Leveraging pretrained vision‐language model for enhanced breast cancer diagnosis with multi‐view mammography X Chen, Y Li, M Hu, E Salari, X Chen, RLJ Qiu, B Zheng, X Yang Medical Physics 53 (1), e70261, 2026 | 25* | 2026 |
| Cross‐shaped windows transformer with self‐supervised pretraining for clinically significant prostate cancer detection in bi‐parametric MRI Y Li, J Wynne, J Wang, RLJ Qiu, J Roper, S Pan, AB Jani, T Liu, PR Patel, ... Medical Physics, 2023 | 15 | 2023 |
| AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking Y Li, T Luan, Y Wu, S Pan, Y Chen, X Yang European Conference on Computer Vision, 146-163, 2025 | 14 | 2025 |
| MedDINOv3: How to adapt vision foundation models for medical image segmentation? Y Li, Y Wu, Y Lai, M Hu, X Yang arXiv preprint arXiv:2509.02379, 2025 | 10 | 2025 |
| Automatic medical imaging segmentation via self-supervising large-scale convolutional neural networks Y Li, JF Wynne, Y Wu, RLJ Qiu, S Tian, T Wang, PR Patel, SY David, ... Radiotherapy and Oncology, 110711, 2025 | 10 | 2025 |
| MRI‐based prostate cancer classification using 3D efficient capsule network Y Li, J Wynne, J Wang, J Roper, CW Chang, AB Patel, J Shelton, T Liu, ... Medical Physics, 2024 | 8 | 2024 |
| Prostate Gleason score prediction via MRI using capsule network Y Li, J Wang, M Hu, P Patel, H Mao, T Liu, X Yang Medical Imaging 2023: Computer-Aided Diagnosis 12465, 514-519, 2023 | 6 | 2023 |
| Towards universal text-driven ct image segmentation Y Li, Y Lai, M Thor, D Marshall, Z Buchwald, DS Yu, X Yang arXiv preprint arXiv:2503.06030, 2025 | 5 | 2025 |
| Multi-Parametric MRI radiomics analysis with ensemble learning for prostate lesion classification Y Li, J Wang, CW Chang, P Patel, A Jani, H Mao, T Liu, X Yang Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and …, 2023 | 4 | 2023 |
| Interpretable Evaluation of Diabetic Retinopathy Grade Regarding Eye Color Fundus Images Y Li, JS Hsu, N Bari, X Qiu, M Viswanathan, W Shi, F Giuste, Y Zhong, ... 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering …, 2022 | 4 | 2022 |
| Are Video Models Emerging as Zero-Shot Learners and Reasoners in Medical Imaging? Y Lai, J Zhong, M Li, Y Li, X Yang arXiv preprint arXiv:2510.10254, 2025 | 3 | 2025 |
| RoMedFormer: A Rotary-Embedding Transformer Foundation Model for 3D Genito-Pelvic Structure Segmentation in MRI and CT Y Li, M Hu, RLJ Qiu, M Thor, A Williams, D Marshall, X Yang arXiv preprint arXiv:2503.14304, 2025 | 1 | 2025 |
| MRI-based prostate cancer detection using cross-shaped windows transformer Y Li, J Wynne, J Wang, RLJ Qiu, J Roper, S Pan, AB Jani, T Liu, PR Patel, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 436-441, 2024 | 1 | 2024 |
Mingzhe HuPhD CandidateVerified email at duke.edu
