| The medical segmentation decathlon M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ... Nature communications 13 (1), 4128, 2022 | 1104 | 2022 |
| 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 (Oral), 2022 | 365 | 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 | 206 | 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 | 178 | 2021 |
| 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 Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023 | 116 | 2023 |
| 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, ... 37th AAAI Conference on Artificial Intelligence (AAAI-23) (Oral), 2022 | 108* | 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 | 90 | 2018 |
| 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 | 84 | 2019 |
| 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 | 39 | 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 | 31 | 2021 |
| 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 | 28 | 2020 |
| 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, 2024 | 27 | 2024 |
| 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 | 24 | 2019 |
| Large Language Models as Automated Aligners for benchmarking Vision-Language Models Y Ji, C Ge, W Kong, E Xie, Z Liu, Z Li, P Luo The International Conference on Learning Representations 2024, 2023 | 9 | 2023 |
| AMOS: a large-scale abdominal multi-organ benchmark for versatile medical image segmentation (2022) Y Ji, H Bai, C Ge, J Yang, Y Zhu, R Zhang, Z Li, L Zhanng, W Ma, X Wan, ... arXiv preprint arXiv:2206.08023, 0 | 9 | |
| 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 | 7 | 2022 |
| GMAI-VL & GMAI-VL-5.5 M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI T Li, Y Su, W Li, B Fu, Z Chen, Z Huang, G Wang, C Ma, Y Chen, M Hu, ... arXiv preprint arXiv:2411.14522, 2024 | 2 | 2024 |
| SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding Y Chen, G Wang, Y Ji, Y Li, J Ye, T Li, B Zhang, N Pei, R Yu, Y Qiao, J He arXiv preprint arXiv:2410.11761, 2024 | 2 | 2024 |
| 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 | 2 | 2023 |
| CompGS: Unleashing 2D Compositionality for Compositional Text-to-3D via Dynamically Optimizing 3D Gaussians C Ge, C Xu, Y Ji, C Peng, M Tomizuka, P Luo, M Ding, V Jampani, ... arXiv preprint arXiv:2410.20723, 2024 | 1 | 2024 |
Ping Luo (羅平)Associate Professor, The University of Hong Kong; MMLAB@HKUEmail verificata su hku.hk