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ORCIDHaotian Jiang
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Publications
- 2026
[j17]Haotian Jiang
, Geng Chen, Jiquan Ma, Hui Cui, Shu Zhang, Yong Xia, Pew-Thian Yap:
Precise estimation of tissue microstructure with hybrid graph transformer. Artif. Intell. Medicine 176: 103390 (2026)- [j16]Xinhong Li, Geng Chen, Yuanfeng Wu, Haotian Jiang, Tao Zhou, Yi Zhou, Wentao Zhu:
Learning geometric and visual features for medical image segmentation with vision GNN. Comput. Medical Imaging Graph. 128: 102720 (2026) - [j14]Jiquan Ma, Yu Guo, Yihang Gao, Fanhui Kong, Xiuchun Li, Hui Cui, Haotian Jiang, Geng Chen:
Super-resolved microstructure estimation with 3D dual-conditioned latent diffusion model. Knowl. Based Syst. 339: 115527 (2026) - 2025
- [c55]Xiaoyu Bai, Haotian Jiang, Geng Chen:
Self-supervised Denoising of Diffusion MRI Data with Efficient Collaborative Diffusion Model. IPMI (2) 2025: 125-138 - [c54]Haotian Jiang, Geng Chen:
Diffusion MAE: Paving the Way for Representation Learning of Diffusion MRI. IPMI (2) 2025: 172-185 - [c52]Yi Liu, Yueyue Zhu, Haotian Jiang, Xiaoyu Bai, Rongqing Cai, Geng Chen:
Towards Robust Basal Ganglia Segmentation in Ultra-Low-Field Pediatric MRI via an Optimized MS-TCNet. LISA@MICCAI 2025: 29-38 - [c50]Yueyue Zhu, Haolin Lv, Geng Chen, Zhonghao Zhang, Haotian Jiang, Yong Xia:
Hybrid Graph Mamba: Unlocking Non-Euclidean Potential for Accurate Polyp Segmentation. MICCAI (10) 2025: 277-286 - [c49]Yueyue Zhu, Xiaoyu Bai, Haotian Jiang, Geng Chen:
BLSegMamba: An Optimized SegMamba Framework for msTBI Lesion Segmentation in MRI. BraTS-Lighthouse/AIMS-TBI@MICCAI (2) 2025: 301-310 - [c46]Meklit Mesfin Atlaw, Geng Chen, Haotian Jiang, Xuyun Wen, Hengfei Cui, Yong Xia:
SMF-Net: Unlocking Multimodal Insights for Enhanced Stroke Lesion Segmentation. MICCAI (3) 2025: 598-608 - 2024
- [c42]Jiquan Ma, Chengdong Deng, Geng Chen, Haotian Jiang, Shijie Huang, Jaeil Kim, Xuyun Wen, Dinggang Shen:
Decoding White Matter Fiber ODFs: A Mixture Learning Framework in x-q Space. BIBM 2024: 3598-3602 - [c41]Jiquan Ma, Yihang Gao, Haotian Jiang, Jing Gu, Diliara Khairullina, Hui Cui, Geng Chen:
Super-resolved Estimation of White Matter Microstructure via 3D Conditional Latent Diffusion Model. BIBM 2024: 4247-4252 - [c39]Haotian Jiang, Shu Zhang, Xuyun Wen, Hui Cui, Jun Lu, Islem Rekik, Jiquan Ma, Geng Chen:
Self-Supervised Denoising of Diffusion MRI Data Via Spatio-Angular Noise2Noise. ISBI 2024: 1-5 - [c38]Jiquan Ma, Yujun Teng, Geng Chen, Haotian Jiang, Kai Zhang, Feihong Liu, Islem Rekik, Dinggang Shen:
Super-Resolution of Diffusion-Weighted Images via TDI-Conditioned Diffusion Model. CDMRI@MICCAI 2024: 1-11 - [c37]Yueyue Zhu, Haotian Jiang, Rongqing Cai, Geng Chen:
Multi-Label MambaOut for Quality Assessment of Low-Field Pediatric Brain MR Images. LISA@MICCAI 2024: 3-11 - 2023
- [c33]Junqing Yang, Haotian Jiang, Tewodros Tassew, Peng Sun, Jiquan Ma, Yong Xia, Pew-Thian Yap, Geng Chen:
Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer. MICCAI (8) 2023: 25-34 - 2022
- [c26]Geng Chen, Haotian Jiang, Jiannan Liu, Jiquan Ma, Hui Cui, Yong Xia, Pew-Thian Yap:
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data. MICCAI (1) 2022: 113-122
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