Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing. - Zihao Tang 002; Donghao Zhang 004; Siqi Liu 001; Yang Song 001; Hanchuan Peng; Weidong Cai 001 (ICCV Workshops, 2017)

MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging. - Chaoyi Zhang; Yang Song 001; Sidong Liu; Scott Lill; Chenyu Wang 001; Zihao Tang 002; Yuyi You; Yang Gao; Alexander Klistorner; Michael Barnett 006; Weidong Cai 001 (DICTA, 2018)

Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images. - Zihao Tang 002; Chenyu Wang 001; Phu Hoang; Sidong Liu; Weidong Cai 001; Domenic Soligo; Ruth Oliver; Michael Barnett 006; Ché Fornusek (DATRA/PIPPI@MICCAI, 2018)

3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. - Zihao Tang 002; Donghao Zhang 004; Yang Song 001; Heng Wang 007; Dongnan Liu; Chaoyi Zhang; Siqi Liu 001; Hanchuan Peng; Weidong Cai 001 (ISBI, 2020)

LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. - Zihao Tang 002; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (MICCAI (7), 2021)

Diffusion MRI Fibre Orientation Distribution Inpainting. - Zihao Tang 002; Xinyi Wang 015; Mariano Cabezas; Arkiev D'Souza; Fernando Calamante; Dongnan Liu; Michael Barnett 006; Chenyu Wang 001; Tom Weidong Cai (CDMRI@MICCAI, 2022)

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. - Dongnan Liu; Mariano Cabezas; Dongang Wang; Zihao Tang 002; Lei Bai 001; Geng Zhan; Yuling Luo; Kain Kyle; Linda Ly; James Yu; Chun-Chien Shieh; Aria Nguyen; et al. (CoRR, 2022)

TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. - Zihao Tang 002; Xinyi Wang 015; Lihaowen Zhu; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (CoRR, 2022)

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. - Yang Ma; Chaoyi Zhang; Mariano Cabezas; Yang Song 001; Zihao Tang 002; Dongnan Liu; Weidong Cai 001; Michael Barnett 006; Chenyu Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. - Sheng Chen; Zihao Tang 002; Dongnan Liu; Ché Fornusek; Michael Barnett 006; Chenyu Wang 001; Mariano Cabezas; Weidong Cai 001 (ISBI, 2023)

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. - Michael Barnett 006; Dongang Wang; Heidi Beadnall; Antje Bischof; David Brunacci; Helmut Butzkueven; J. William L. Brown; Mariano Cabezas; Tilak Das; Tej Dugal; Daniel Guilfoyle; Alexander Klistorner; et al. (npj Digit. Medicine, 2023)

Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning. - Sheng Chen; Zihao Tang 002; Xinyi Wang 015; Chenyu Wang 001; Tom Weidong Cai (AI (2), 2024)

Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging. - Sheng Chen; Zihao Tang 002; Mariano Cabezas; Xinyi Wang 015; Arkiev D'Souza; Michael Barnett 006; Fernando Calamante; Weidong Cai 001; Chenyu Wang 001 (ICONIP (4), 2024)

Disentanglement-Based Unsupervised Domain Adaptation for Nuclei Instance Segmentation. - Jieting Long; Dongnan Liu; Zihao Tang 002; Weidong Cai 001 (IVCNZ, 2024)

Fibre Population-guided Pre-training for 3D Spatial Super-Resolution on Multimodal Brain Diffusion MR Imaging. - Zihao Tang 002; Xinyi Wang 015; Mariano Cabezas; Arkiev D'Souza; Michael Barnett 006; Fernando Calamante; Weidong Cai 001; Chenyu Wang 001 (MMAsia, 2024)

UFREE: Unified Fiber Orientation Distribution Resolution Enhancement. - Xinyi Wang 015; Kunze Wang; Zihao Tang 002; Mariano Cabezas; Chenyu Wang 001; Tom Weidong Cai (ISBI, 2025)

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement. - Xinyi Wang 015; Michael Barnett 006; Frederique Boonstra; Yael Barnett; Mariano Cabezas; Arkiev D'Souza; Matthew C. Kiernan; Kain Kyle; Meng Law; Lynette Masters; Zihao Tang 002; Stephen Tisch; et al. (CoRR, 2025)