Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep Learning. - Lufan Liao; Xin Zhang 013; Fenqiang Zhao; Tao Zhong 002; Yuchen Pei; Xiangmin Xu; Li Wang 026; He Zhang; Dinggang Shen; Gang Li 001 (MICCAI (6), 2020)

LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI. - Zhenyuan Ning; Yu Zhang 064; Yongsheng Pan; Tao Zhong 002; Mingxia Liu 001; Dinggang Shen (MLMI@MICCAI, 2020)

Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI. - Yuchen Pei; Li Wang 026; Fenqiang Zhao; Tao Zhong 002; Lufan Liao; Dinggang Shen; Gang Li 001 (MLMI@MICCAI, 2020)

Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains. - Tao Zhong 002; Yu Zhang 064; Fenqiang Zhao; Yuchen Pei; Lufan Liao; Zhenyuan Ning; Li Wang 026; Dinggang Shen; Gang Li 001 (MICCAI (7), 2020)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; Jitae Shin; Tao Zhong 002; et al. (CoRR, 2020)

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. - Yuchen Pei; Liangjun Chen; Fenqiang Zhao; Zhengwang Wu; Tao Zhong 002; Ya Wang; Changan Chen; Li Wang 026; He Zhang; Lisheng Wang; Gang Li 001 (MICCAI (7), 2021)

DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques. - Tao Zhong 002; Fenqiang Zhao; Yuchen Pei; Zhenyuan Ning; Lufan Liao; Zhengwang Wu; Yuyu Niu; Li Wang 026; Dinggang Shen; Yu Zhang 064; Gang Li 001 (NeuroImage, 2021)

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. - Yue Sun; Kun Gao 002; Zhengwang Wu; Guannan Li; Xiaopeng Zong; Zhihao Lei; Ying Wei 007; Jun Ma 016; Xiaoping Yang 001; Xue Feng 001; Li Zhao 001; Trung Le Phan; et al. (IEEE Trans. Medical Imaging, 2021)

A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. - Liangjun Chen; Zhengwang Wu; Dan Hu; Ya Wang; Fenqiang Zhao; Tao Zhong 002; Weili Lin; Li Wang 026; Gang Li 001 (NeuroImage, 2022)

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. - Tao Zhong 002; Jingkuan Wei; Kunhua Wu; Liangjun Chen; Fenqiang Zhao; Yuchen Pei; Ya Wang; Hongjiang Zhang; Zhengwang Wu; Ying Huang 007; Tengfei Li 001; Li Wang 026; et al. (NeuroImage, 2022)

Collaborative Modality Generation and Tissue Segmentation for Early-Developing Macaque Brain MR Images. - Xueyang Wu 003; Tao Zhong 002; Shujun Liang; Li Wang 026; Gang Li 001; Yu Zhang 064 (MICCAI (4), 2023)

A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques. - Tao Zhong 002; Ya Wang; Xiaotong Xu; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Gang Li 001; Yu Zhang 064 (Comput. Medical Imaging Graph., 2024)

A joint brain extraction and image quality assessment framework for fetal brain MRI slices. - Wenhao Zhang; Xin Zhang 013; Lingyi Li; Lufan Liao; Fenqiang Zhao; Tao Zhong 002; Yuchen Pei; Xiangmin Xu; Chaoxiang Yang; He Zhang; Gang Li 001 (NeuroImage, 2024)

nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species. - Tao Zhong 002; Xueyang Wu 003; Shujun Liang; Zhenyuan Ning; Li Wang 026; Yuyu Niu; Shihua Yang; Zhuang Kang; Qianjin Feng; Gang Li 001; Yu Zhang 064 (NeuroImage, 2024)

A progressive framework for tooth and substructure segmentation from cone-beam CT images. - Minhui Tan; Zhiming Cui; Tao Zhong 002; Yu Fang; Yu Zhang 064; Dinggang Shen (Comput. Biol. Medicine, 2024)

PETS-Nets: Joint Pose Estimation and Tissue Segmentation of Fetal Brains Using Anatomy-Guided Networks. - Yuchen Pei; Fenqiang Zhao; Tao Zhong 002; Laifa Ma; Lufan Liao; Zhengwang Wu; Li Wang 026; He Zhang; Lisheng Wang; Gang Li 001 (IEEE Trans. Medical Imaging, 2024)