Xuehai Wu
Orcid: 0000-0003-4216-6685
According to our database1,
Xuehai Wu
authored at least 16 papers
between 2016 and 2024.
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Bibliography
2024
RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, January, 2024
Precise detection of awareness in disorders of consciousness using deep learning framework.
NeuroImage, 2024
On the application of hybrid deep 3D convolutional neural network algorithms for predicting the micromechanics of brain white matter.
Comput. Methods Programs Biomed., 2024
sTBI-GAN: An adversarial learning approach for data synthesis on traumatic brain segmentation.
Comput. Medical Imaging Graph., 2024
2023
Enhanced brain parcellation via abnormality inpainting for neuroimage-based consciousness evaluation of hydrocephalus patients by lumbar drainage.
Brain Informatics, December, 2023
Probing Intrinsic Neural Timescales in EEG with an Information-Theory Inspired Approach: Permutation Entropy Time Delay Estimation (PE-TD).
Entropy, July, 2023
Identifying patients with cognitive motor dissociation using resting-state temporal stability.
NeuroImage, May, 2023
Outcome Prediction of Unconscious Patients Based on Weighted Sparse Brain Network Construction.
IEEE J. Biomed. Health Informatics, 2023
Disrupted relationship between intrinsic neural timescales and alpha peak frequency during unconscious states - A high-density EEG study.
NeuroImage, 2023
Uni-COAL: A Unified Framework for Cross-Modality Synthesis and Super-Resolution of MR Images.
CoRR, 2023
2022
TBI-GAN: An Adversarial Learning Approach for Data Synthesis on Traumatic Brain Segmentation.
CoRR, 2022
2021
Are intrinsic neural timescales related to sensory processing? Evidence from abnormal behavioral states.
NeuroImage, 2021
Higher-order sensorimotor circuit of the brain's global network supports human consciousness.
NeuroImage, 2021
2020
Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI.
NeuroImage, 2020
2018
Longitudinal Sparse Regression for Neuroimage Based Consciousness Assessing and Tracking of Hydrocephalus Patients.
Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018
2016
Decoupled temporal variability and signal synchronization of spontaneous brain activity in loss of consciousness: An fMRI study in anesthesia.
NeuroImage, 2016