| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 389 | 2022 |
| Multi-scale context intertwining for semantic segmentation D Lin, Y Ji, D Lischinski, D Cohen-Or, H Huang Proceedings of the European Conference on Computer Vision (ECCV), 603-619, 2018 | 186 | 2018 |
| Multi-compound transformer for accurate biomedical image segmentation Y Ji, R Zhang, H Wang, Z Li, L Wu, S Zhang, P Luo Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 91 | 2021 |
| Zigzagnet: Fusing top-down and bottom-up context for object segmentation D Lin, D Shen, S Shen, Y Ji, D Lischinski, D Cohen-Or, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 74 | 2019 |
| Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation Y Ji, H Bai, G Chongjian, J Yang, Y Zhu, R Zhang, Z Li, L Zhang, W Ma, ... Advances in Neural Information Processing Systems, 2022, 2022 | 73 | 2022 |
| SCN: Switchable context network for semantic segmentation of RGB-D images D Lin, R Zhang, Y Ji, P Li, H Huang IEEE transactions on cybernetics 50 (3), 1120-1131, 2018 | 69 | 2018 |
| DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery--A Focus on Affinity Prediction Problems with Noise Annotations Y Ji, L Zhang, J Wu, B Wu, LK Huang, T Xu, Y Rong, L Li, J Ren, D Xue, ... AAAI23, 2022 | 31 | 2022 |
| Ranet: Region attention network for semantic segmentation D Shen, Y Ji, P Li, Y Wang, D Lin Advances in Neural Information Processing Systems 33, 13927-13938, 2020 | 26 | 2020 |
| Uxnet: Searching multi-level feature aggregation for 3d medical image segmentation Y Ji, R Zhang, Z Li, J Ren, S Zhang, P Luo Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 18 | 2020 |
| Multi-frame collaboration for effective endoscopic video polyp detection via spatial-temporal feature transformation L Wu, Z Hu, Y Ji, P Luo, S Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 16 | 2021 |
| PRSNet: part relation and selection network for bone age assessment Y Ji, H Chen, D Lin, X Wu, D Lin Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 16 | 2019 |
| DDP: Diffusion Model for Dense Visual Prediction Y Ji, Z Chen, E Xie, L Hong, X Liu, Z Liu, T Lu, Z Li, P Luo arXiv preprint arXiv:2303.17559, 2023 | 12 | 2023 |
| Tagnet: Learning configurable context pathways for semantic segmentation D Lin, D Shen, Y Ji, S Shen, M Xie, W Feng, H Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2475-2491, 2022 | 3 | 2022 |
| MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ... arXiv preprint arXiv:2308.16139, 2023 | 2 | 2023 |
| SyNDock: N Rigid Protein Docking via Learnable Group Synchronization Y Ji, Y Bian, G Fu, P Zhao, P Luo arXiv preprint arXiv:2305.15156, 2023 | | 2023 |
Di LinAssociate Professor, Tianjin UniversityVerified email at tju.edu.cn
