| How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? W Li, A Yuille, Z Zhou The Twelfth International Conference on Learning Representations (ICLR), 2024 | 35* | 2024 |
| Medshapenet–a large-scale dataset of 3d medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik 70 (1), 71-90, 2025 | 27 | 2025 |
| AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking W Li, C Qu, X Chen, PRAS Bassi, Y Shi, Y Lai, Q Yu, H Xue, Y Chen, X Lin, ... Medical Image Analysis 97, 103285, 2024 | 15 | 2024 |
| Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? PRAS Bassi*, W Li*, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ... Conference on Neural Information Processing Systems (NeurIPS), 2024 | 4 | 2024 |
| A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties J Xiao, Z Zhou, W Li, S Lan, J Mei, Z Yu, B Zhao, A Yuille, Y Zhou, C Xie European Conference on Computer Vision (ECCV), 239-258, 2025 | 3 | 2025 |
| RadGPT: Constructing 3D Image-Text Tumor Datasets PRAS Bassi, MC Yavuz, K Wang, X Chen, W Li, S Decherchi, A Cavalli, ... arXiv preprint arXiv:2501.04678, 2025 | 2 | 2025 |
| ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models W Li, PRAS Bassi, T Lin, YC Chou, X Zhou, Y Tang, F Isensee, K Wang, ... arXiv preprint arXiv:2501.03410, 2025 | 1 | 2025 |
| Label Critic: Design Data Before Models PRAS Bassi, Q Wu, W Li, S Decherchi, A Cavalli, A Yuille, Z Zhou IEEE International Symposium on Biomedical Imaging (ISBI), 2024 | | 2024 |
Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityPatvirtintas el. paštas jhu.edu