Visualizing and understanding of learned compressive sensing with residual network. - Zhifu Zhao; Xuemei Xie; Chenye Wang; Wan Liu 001; Guangming Shi; Jiang Du 011 (Neurocomputing, 2019)

ROI-CSNet: Compressive sensing network for ROI-aware image recovery. - Zhifu Zhao; Xuemei Xie; Chenye Wang; Siying Mao; Wan Liu 001; Guangming Shi (Signal Process. Image Commun., 2019)

A Hybrid-3D Convolutional Network for Video Compressive Sensing. - Zhifu Zhao; Xuemei Xie; Wan Liu 001; Qingzhe Pan (IEEE Access, 2020)

Improved White Matter Tract Segmentation for Unannotated Dataset. - Yijia Zeng; Wan Liu 001; Zhiwen Liu; Chuyang Ye (CSSE, 2022)

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation. - Wan Liu 001; Qi Lu; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (MICCAI (1), 2022)

A transfer learning approach to few-shot segmentation of novel white matter tracts. - Qi Lu; Wan Liu 001; Zhizheng Zhuo; Yuxing Li; Yunyun Duan; Pinnan Yu; Liying Qu; Chuyang Ye; Yaou Liu (Medical Image Anal., 2022)

Volumetric segmentation of white matter tracts with label embedding. - Wan Liu 001; Qi Lu; Zhizheng Zhuo; Yuxing Li; Yunyun Duan; Pinnan Yu; Liying Qu; Chuyang Ye; Yaou Liu (NeuroImage, 2022)

Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap. - Wan Liu 001; Chuyang Ye (IPMI, 2023)

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. - Wan Liu 001; Yuqian Chen; Chuyang Ye; Nikos Makris; Yogesh Rathi; Weidong Cai 001; Fan Zhang 013; Lauren J. O'Donnell (CoRR, 2023)

One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer. - Wan Liu 001; Zhizheng Zhuo; Yaou Liu; Chuyang Ye (Medical Image Anal., 2023)

Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CDMRI@MICCAI, 2024)

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Jarrett Rushmore; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CoRR, 2024)