BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. - Xinyi Wang 015; Tiange Xiang; Chaoyi Zhang; Yang Song 001; Dongnan Liu; Heng Huang 001; Weidong Cai 001 (MICCAI (1), 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)

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)

Towards bi-directional skip connections in encoder-decoder architectures and beyond. - Tiange Xiang; Chaoyi Zhang; Xinyi Wang 015; Yang Song 001; Dongnan Liu; Heng Huang 001; Weidong Cai 001 (Medical Image Anal., 2022)

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)

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)