Area of research
Computer Vision and Pattern Recognition · Artificial Intelligence
Research interest
Research interests include Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Medical Image Segmentation Techniques, and Distributed and Parallel Computing Systems.
[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].
PubMed 2024cited by 1position: middle
Magnetoencephalogram-based brain–computer interface for hand-gesture decoding using deep learning
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
Semi-supervised Medical Image Segmentation through Dual-task Consistency
Single-subject-based whole-brain MEG slow-wave imaging approach for detecting abnormality in patients with mild traumatic brain injury
Voxel-wise resting-state MEG source magnitude imaging study reveals neurocircuitry abnormality in active-duty service members and veterans with PTSD
MEG source imaging method using fast L1 minimum-norm and its applications to signals with brain noise and human resting-state source amplitude images
An automatic MEG low-frequency source imaging approach for detecting injuries in mild and moderate TBI patients with blast and non-blast causes