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 | 69 | 2023 |
Learning-based algorithms for vessel tracking: A review D Jia, X Zhuang Computerized Medical Imaging and Graphics 89, 101840, 2021 | 49 | 2021 |
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 | 7 | 2019 |
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 | 4 | 2023 |
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 | 3 | 2021 |
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 |
Multi-Organ Registration With Continual Learning W Ding, H Sun, C Pei, D Jia, L Huang IEEE Signal Processing Letters, 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 |