| The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge N Heller, F Isensee, KH Maier-Hein, X Hou, C Xie, F Li, Y Nan, G Mu, ... Medical image analysis 67, 101821, 2021 | 770 | 2021 |
| Freenerf: Improving few-shot neural rendering with free frequency regularization J Yang, M Pavone, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 425 | 2023 |
| mmformer: Multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation Y Zhang, N He, J Yang, Y Li, D Wei, Y Huang, Y Zhang, Z He, Y Zheng International conference on medical image computing and computer-assisted …, 2022 | 288 | 2022 |
| Emernerf: Emergent spatial-temporal scene decomposition via self-supervision J Yang, B Ivanovic, O Litany, X Weng, SW Kim, B Li, T Che, D Xu, S Fidler, ... ICLR 2024, 2023 | 194* | 2023 |
| Modality-aware mutual learning for multi-modal medical image segmentation Y Zhang, J Yang, J Tian, Z Shi, C Zhong, Y Zhang, Z He International conference on medical image computing and computer-assisted …, 2021 | 186 | 2021 |
| Omnire: Omni urban scene reconstruction Z Chen, J Yang, J Huang, R de Lutio, JM Esturo, B Ivanovic, O Litany, ... arXiv preprint arXiv:2408.16760, 2024 | 98 | 2024 |
| Remix: A general and efficient framework for multiple instance learning based whole slide image classification J Yang, H Chen, Y Zhao, F Yang, Y Zhang, L He, J Yao International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 74 | 2022 |
| Oral-3d: Reconstructing the 3d structure of oral cavity from panoramic x-ray W Song, Y Liang, J Yang, K Wang, L He Proceedings of the AAAI conference on artificial intelligence 35 (1), 566-573, 2021 | 49 | 2021 |
| Denoising vision transformers J Yang, KZ Luo, J Li, C Deng, L Guibas, D Krishnan, KQ Weinberger, ... ECCV 2024 (Oral), 2024 | 41 | 2024 |
| Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning J Yang, H Chen, J Yan, X Chen, J Yao International Conference on Learning Representations 2022, 2022 | 40 | 2022 |
| Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer Y Zhang, J Yang, F Hou, Y Liu, Y Wang, J Tian, C Zhong, Y Zhang, Z He International Workshop on Statistical Atlases and Computational Models of …, 2021 | 37 | 2021 |
| X2Teeth: 3D teeth reconstruction from a single panoramic radiograph Y Liang, W Song, J Yang, L Qiu, K Wang, L He International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 37 | 2020 |
| Cascaded volumetric convolutional network for kidney tumor segmentation from CT volumes Y Zhang, Y Wang, F Hou, J Yang, G Xiong, J Tian, C Zhong arXiv preprint arXiv:1910.02235, 2019 | 35 | 2019 |
| TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation J Yang, Y Zhang, Y Liang, Y Zhang, L He, Z He International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 29 | 2021 |
| Infinicube: Unbounded and controllable dynamic 3d driving scene generation with world-guided video models Y Lu, X Ren, J Yang, T Shen, Z Wu, J Gao, Y Wang, S Chen, M Chen, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2025 | 27 | 2025 |
| Concl: Concept contrastive learning for dense prediction pre-training in pathology images J Yang, H Chen, Y Liang, J Huang, L He, J Yao European Conference on Computer Vision, 523-539, 2022 | 26 | 2022 |
| Storm: Spatio-temporal reconstruction model for large-scale outdoor scenes J Yang, J Huang, Y Chen, Y Wang, B Li, Y You, A Sharma, M Igl, P Karkus, ... arXiv preprint arXiv:2501.00602, 2024 | 24 | 2024 |
| Presight: Enhancing autonomous vehicle perception with city-scale nerf priors T Yuan, Y Mao, J Yang, Y Liu, Y Wang, H Zhao ECCV 2024, 2024 | 23 | 2024 |
| DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features L Wang, SW Kim, J Yang, C Yu, B Ivanovic, SL Waslander, Y Wang, ... NeurIPS 2024, 2024 | 19 | 2024 |
| TreeMoCo: Contrastive Neuron Morphology Representation Learning H Chen, J Yang, DM Iascone, L Liu, L He, H Peng, J Yao Advances in Neural Information Processing Systems 2022, 2022 | 16 | 2022 |
Marco PavoneStanford University and NVIDIAVerified email at stanford.edu
