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; 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; Chenyu Wang 001; Phu Hoang; Sidong Liu; Weidong Cai 001; Domenic Soligo; Ruth Oliver; Michael Barnett 006; Ché Fornusek (DATRA/PIPPI@MICCAI, 2018)

Multiple Sclerosis Lesion Filling Using a Non-lesion Attention Based Convolutional Network. - Hao Xiong; Chaoyue Wang; Michael Barnett 006; Chenyu Wang 001 (ICONIP (1), 2020)

Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes. - Dongang Wang; Chenyu Wang 001; Lynette Masters; Michael Barnett 006 (MICCAI (7), 2020)

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

Diffusion MRI Fibre Orientation Distribution Inpainting. - Zihao Tang; Xinyi Wang; 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; 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; Xinyi Wang; Lihaowen Zhu; Mariano Cabezas; Dongnan Liu; Michael Barnett 006; Weidong Cai 001; Chenyu Wang 001 (CoRR, 2022)

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution. - Rui Zeng; Jinglei Lv; He Wang 016; Luping Zhou; Michael Barnett 006; Fernando Calamante; Chenyu Wang 001 (Medical Image Anal., 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; 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; Dongnan Liu; Ché Fornusek; Michael Barnett 006; Chenyu Wang 001; Mariano Cabezas; Weidong Cai 001 (ISBI, 2023)

Fed-CoT: Co-teachers for Federated Semi-supervised MS Lesion Segmentation. - Geng Zhan; Jiajun Deng; Mariano Cabezas; Wanli Ouyang; Michael Barnett 006; Chenyu Wang 001 (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 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)

Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. - Dongnan Liu; Chaoyi Zhang; Yang Song 001; Heng Huang; Chenyu Wang 001; Michael Barnett 006; Tom Weidong Cai (IEEE Trans. Multim., 2023)

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

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis. - Yang Ma; Dongang Wang; Peilin Liu; Lynette Masters; Michael Barnett 006; Tom Weidong Cai; Chenyu Wang 001 (MICCAI (12), 2024)

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

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. - Lei Bai 001; Dongang Wang; Hengrui Wang; Michael Barnett 006; Mariano Cabezas; Weidong Cai 001; Fernando Calamante; Kain Kyle; Dongnan Liu; Linda Ly; Aria Nguyen; Chun-Chien Shieh; et al. (Artif. Intell. Medicine, 2024)

How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. - Dongang Wang; Peilin Liu; Hengrui Wang; Heidi Beadnall; Kain Kyle; Linda Ly; Mariano Cabezas; Geng Zhan; Ryan Sullivan; Tom Weidong Cai; Wanli Ouyang; Fernando Calamante; et al. (CoRR, 2024)

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