| Unleashing the strengths of unlabeled data in pan-cancer abdominal organ quantification: the flare22 challenge J Ma, Y Zhang, S Gu, C Ge, S Ma, A Young, C Zhu, K Meng, X Yang, ... arXiv preprint arXiv:2308.05862, 2023 | 122 | 2023 |
| Learning-based algorithms for vessel tracking: A review D Jia, X Zhuang Computerized Medical Imaging and Graphics 89, 101840, 2021 | 57 | 2021 |
| Multi-target landmark detection with incomplete images via reinforcement learning and shape prior embedding K Wan, L Li, D Jia, S Gao, W Qian, Y Wu, H Lin, X Mu, X Gao, S Wang, ... Medical Image Analysis 89, 102875, 2023 | 8 | 2023 |
| Directional fast-marching and multi-model strategy to extract coronary artery centerlines D Jia, X Zhuang Computers in Biology and Medicine 108, 67-77, 2019 | 8 | 2019 |
| Unleashing the strengths of unlabelled data in deep learning-assisted pan-cancer abdominal organ quantification: the FLARE22 challenge J Ma, Y Zhang, S Gu, C Ge, S Mae, A Young, C Zhu, X Yang, K Meng, ... The Lancet Digital Health 6 (11), e815-e826, 2024 | 4 | 2024 |
| Semi-supervised multi-organ segmentation with cross supervision using Siamese network D Jia MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2022 | 4 | 2022 |
| A low-rank representation for unsupervised registration of medical images D Jia, S Gao, Q Chen, X Luo, X Zhuang arXiv preprint arXiv:2105.09548, 2021 | 4 | 2021 |
| Multi-organ registration with continual learning W Ding, H Sun, C Pei, D Jia, L Huang IEEE Signal Processing Letters, 2024 | 3 | 2024 |
| Transferring adult-like phase images for robust multi-view isointense infant brain segmentation H Liu, J Huang, D Jia, Q Wang, J Xu, D Shen IEEE Transactions on Medical Imaging, 2024 | 2 | 2024 |
| A multi-resolution multi-model method for coronary centerline extraction based on minimal path D Jia, W Shi, D Rueckert, L Liu, S Ourselin, X Zhuang Medical Imaging and Augmented Reality: 7th International Conference, MIAR …, 2016 | 2 | 2016 |
| SeRN: A Two-Stage Framework of Registration for Semi-Supervised Learning for Medical Images D Jia, X Luo, W Ding, L Huang, X Zhuang Journal of Shanghai Jiaotong University (Science), 1-14, 2022 | 1 | 2022 |
| with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis R Meng¹, Z Liu, Y Sun, D Jia, L Teng¹, Q Ma, T Tong, K Sun¹, D Shen Cancer Prevention, Detection, and Intervention: Third MICCAI Workshop …, 2025 | | 2025 |
| DVasMesh: Deep Structured Mesh Reconstruction from Vascular Images for Dynamics Modeling of Vessels D Jia, X Yang, X Xiong, S Huang, F Hou, L Qin, K Sun, KWY Chan, ... arXiv preprint arXiv:2412.00840, 2024 | | 2024 |
| Deep Combined Computing of Vascular Images with Tubular Shape-Guided Convolution Z Wang, X Ge, X Chen, L Li, W Ding, Y Liu, F Wu, D Jia International Workshop on Shape in Medical Imaging, 48-58, 2024 | | 2024 |
| SurRecNet: A Multi-task Model with Integrating MRI and Diagnostic Descriptions for Rectal Cancer Survival Analysis R Meng, Z Liu, Y Sun, D Jia, L Teng, Q Ma, T Tong, K Sun, D Shen MICCAI Workshop on Cancer Prevention through Early Detection, 200-210, 2024 | | 2024 |
| LM-UNet: Whole-Body PET-CT Lesion Segmentation with Dual-Modality-Based Annotations Driven by Latent Mamba U-Net A Liu, D Jia, K Sun, R Meng, M Zhao, Y Jiang, Z Dong, Y Gao, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior K Wan, L Li, D Jia, S Gao, W Qian, Y Wu, H Lin, X Mu, X Gao, S Wang, ... arXiv preprint arXiv:2301.05392, 2023 | | 2023 |
Xiahai ZhuangProfessor, School of Data Science, Fudan UniversityOverená e-mailová adresa na: fudan.edu.cn
