Decoupled temporal variability and signal synchronization of spontaneous brain activity in loss of consciousness: An fMRI study in anesthesia. - Zirui Huang; Jun Zhang 081; Jinsong Wu 002; Pengmin Qin; Xuehai Wu; Zhiyao Wang; Rui Dai; Yuan Li; Weimin Liang; Ying Mao 002; Zhong Yang; Jianfeng Zhang; et al. (NeuroImage, 2016)

Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients. - Sen Chen; Weijun Tang; Jin Hu; Yawang Cheng; Qian Wang 001; Xuehai Wu; Dinggang Shen (BigComp, 2018)

Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI. - Justin M. Campbell; Zirui Huang; Jun Zhang; Xuehai Wu; Pengmin Qin; Georg Northoff; George A. Mashour; Anthony G. Hudetz (NeuroImage, 2020)

Higher-order sensorimotor circuit of the brain's global network supports human consciousness. - Pengmin Qin; Xuehai Wu; Changwei Wu; Hang Wu; Jun Zhang 081; Zirui Huang; Xuchu Weng; Di Zang; Zengxin Qi; Weijun Tang; Tanikawa Hiromi; Jiaxing Tan; et al. (NeuroImage, 2021)

Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states. - Federico Zilio; Javier Gomez-Pilar; Shumei Cao; Jun Zhang 081; Di Zang; Zengxin Qi; Jiaxing Tan; Tanigawa Hiromi; Xuehai Wu; Stuart M. Fogel; Zirui Huang; Matthias R. Hohmann; et al. (NeuroImage, 2021)

TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation. - Xiangyu Zhao 003; Di Zang; Sheng Wang 014; Zhenrong Shen 001; Kai Xuan; Zeyu Wei; Zhe Wang; Ruizhe Zheng; Xuehai Wu; Zheren Li; Qian Wang 001; Zengxin Qi; et al. (CoRR, 2022)

Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Qian Wang 001; et al. (CoRR, 2023)

Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states - A high-density EEG study. - Andrea Buccellato; Di Zang; Federico Zilio; Javier Gomez-Pilar; Zhe Wang; Zengxin Qi; Ruizhe Zheng; Zeyu Xu; Xuehai Wu; Patrizia Silvia Bisiacchi; Alessandra Del Felice; Ying Mao 002; et al. (NeuroImage, 2023)

Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction. - Renping Yu; Han Zhang 002; Xuehai Wu; Xuan Fei; Qing Yang; Zhiwei Ma; Zengxin Qi; Di Zang; Weijun Tang; Ying Mao 002; Dinggang Shen (IEEE J. Biomed. Health Informatics, 2023)

Identifying patients with cognitive motor dissociation using resting-state temporal stability. - Hang Wu; Qiuyou Xie; Jiahui Pan; Qimei Liang; Yue Lan; Yequn Guo; Junrong Han; Musi Xie; Yueyao Liu; Liubei Jiang; Xuehai Wu; Yuanqing Li 001; et al. (NeuroImage, 2023)

Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD). - Andrea Buccellato; Yasir Çatal; Patrizia Silvia Bisiacchi; Di Zang; Federico Zilio; Zhe Wang; Zengxin Qi; Ruizhe Zheng; Zeyu Xu; Xuehai Wu; Alessandra Del Felice; Ying Mao 002; et al. (Entropy, 2023)

Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage. - Di Zang; Xiangyu Zhao 003; Yuanfang Qiao; Jiayu Huo; Xuehai Wu; Zhe Wang; Zeyu Xu; Ruizhe Zheng; Zengxin Qi; Ying Mao 002; Lichi Zhang (Brain Informatics, 2023)

sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation. - Xiangyu Zhao 003; Di Zang; Sheng Wang 014; Zhenrong Shen 001; Kai Xuan; Zeyu Wei; Zhe Wang; Ruizhe Zheng; Xuehai Wu; Zheren Li; Qian Wang 001; Zengxin Qi; et al. (Comput. Medical Imaging Graph., 2024)

On the application of hybrid deep 3D convolutional neural network algorithms for predicting the micromechanics of brain white matter. - Xuehai Wu; Parameshwaran Pasupathy; Assimina A. Pelegri (Comput. Methods Programs Biomed., 2024)

Precise detection of awareness in disorders of consciousness using deep learning framework. - Huan Yang; Hang Wu; Lingcong Kong; Wen Luo; Qiuyou Xie; Jiahui Pan; Wuxiu Quan; Lianting Hu; Dantong Li; Xuehai Wu; Huiying Liang; Pengmin Qin (NeuroImage, 2024)

RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation. - Xiangyu Zhao 003; Zengxin Qi; Sheng Wang 014; Qian Wang 001; Xuehai Wu; Ying Mao 002; Lichi Zhang (IEEE J. Biomed. Health Informatics, 2024)

Uni-COAL: A unified framework for cross-modality synthesis and super-resolution of MR images. - Zhiyun Song; Zengxin Qi; Xin Wang 125; Xiangyu Zhao 003; Zhenrong Shen 001; Sheng Wang 014; Manman Fei; Zhe Wang; Di Zang; Dongdong Chen 003; Linlin Yao; Mengjun Liu; et al. (Expert Syst. Appl., 2025)