| Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis T Xiang, C Zhang, Y Song, J Yu, W Cai IEEE/CVF International Conference on Computer Vision (ICCV 2021), 2021 | 349 | 2021 |
| Vessel-Net: retinal vessel segmentation under multi-path supervision Y Wu, Y Xia, Y Song, D Zhang, D Liu, C Zhang, W Cai Medical Image Computing and Computer Assisted Intervention (MICCAI 2019 …, 2019 | 172 | 2019 |
| BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture T Xiang, C Zhang, D Liu, Y Song, H Huang, W Cai Medical Image Computing and Computer Assisted Intervention (MICCAI 2020 …, 2020 | 118 | 2020 |
| SQUID: Deep Feature In-painting for Unsupervised Anomaly Detection T Xiang, Y Lu, AL Yuille, C Zhang, W Cai, Z Zhou IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 62* | 2023 |
| Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis C Zhang, J Yu, Y Song, W Cai IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 61 | 2021 |
| Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion D Liu, D Zhang, Y Song, C Zhang, F Zhang, L O'Donnell, W Cai The International Joint Conference on Artificial Intelligence (IJCAI 2019 …, 2019 | 60 | 2019 |
| Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement D Liu, C Zhang, Y Song, H Huang, C Wang, M Barnett, W Cai IEEE Transactions on Multimedia (ToM), 2022 | 58 | 2022 |
| 3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis J Yu, C Zhang, H Wang, D Zhang, Y Song, T Xiang, D Liu, W Cai arXiv preprint arXiv:2112.04863, 2021 | 52 | 2021 |
| Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications Y Ma, C Zhang, M Cabezas, Y Song, Z Tang, D Liu, W Cai, M Barnett, ... IEEE Journal of Biomedical and Health Informatics (J-BHI), 2021 | 46 | 2021 |
| MS-GAN: GAN-based semantic segmentation of multiple sclerosis lesions in brain magnetic resonance imaging C Zhang, Y Song, S Liu, S Lill, C Wang, Z Tang, Y You, Y Gao, ... The International Conference on Digital Image Computing: Techniques and …, 2018 | 44 | 2018 |
| ICE-GAN: Identity-aware and Capsule-Enhanced GAN with Graph-based Reasoning for Micro-Expression Recognition and Synthesis J Yu, C Zhang, Y Song, W Cai The International Joint Conference on Neural Networks (IJCNN 2021), 2021 | 40 | 2021 |
| BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation X Wang*, T Xiang*, C Zhang, Y Song, D Liu, H Huang, W Cai Medical Image Computing and Computer Assisted Intervention (MICCAI 2021 …, 2021 | 38 | 2021 |
| Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds H Wang, C Zhang, J Yu, W Cai The International Joint Conference on Artificial Intelligence (IJCAI 2022), 2022 | 37 | 2022 |
| Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across … T Xue, F Zhang, C Zhang, Y Chen, Y Song, AJ Golby, N Makris, Y Rathi, ... Medical image analysis 85, 102759, 2023 | 36 | 2023 |
| DSNet: A dual-stream framework for weakly-supervised gigapixel pathology image analysis T Xiang, Y Song, C Zhang, D Liu, M Chen, F Zhang, H Huang, ... IEEE Transactions on Medical Imaging 41 (8), 2180-2190, 2022 | 27 | 2022 |
| DeepAntigen: a novel method for neoantigen prioritization via 3D genome and deep sparse learning Y Shi, Z Guo, X Su, L Meng, M Zhang, J Sun, C Wu, M Zheng, X Shang, ... Bioinformatics 36 (19), 4894-4901, 2020 | 27 | 2020 |
| Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation Y Chen, C Zhang, Y Song, N Makris, Y Rathi, W Cai, F Zhang, ... Medical Image Computing and Computer Assisted Intervention (MICCAI 2021 …, 2021 | 25 | 2021 |
| CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images Y Chen, Y Song, C Zhang, F Zhang, L O'Donnell, W Chrzanowski, W Cai IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI …, 2021 | 25 | 2021 |
| Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation Y Chen, C Zhang, T Xue, Y Song, N Makris, Y Rathi, W Cai, F Zhang, ... NeuroImage 273, 120086, 2023 | 23* | 2023 |
| SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning T Xue, F Zhang, C Zhang, Y Chen, Y Song, N Makris, Y Rathi, W Cai, ... The 19th IEEE International Symposium on Biomedical Imaging (ISBI 2022), 2022 | 21 | 2022 |