Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model. - Wenhui Cui; Yanlin Liu; Yuxing Li; Menghao Guo; Yiming Li; Xiuli Li; Tianle Wang 002; Xiangzhu Zeng; Chuyang Ye (IPMI, 2019)

Prediction of posttraumatic epilepsy using machine learning. - Haleh Akrami; Andrei Irimia; Wenhui Cui; Anand A. Joshi; Richard M. Leahy (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Knowledge transfer between brain lesion segmentation tasks with increased model capacity. - Yanlin Liu; Wenhui Cui; Qing Ha; Xiaoliang Xiong; Xiangzhu Zeng; Chuyang Ye (Comput. Medical Imaging Graph., 2021)

Semi-supervised Learning using Robust Loss. - Wenhui Cui; Haleh Akrami; Anand A. Joshi; Richard M. Leahy (CoRR, 2022)

Learning from imperfect training data using a robust loss function: application to brain image segmentation. - Haleh Akrami; Wenhui Cui; Anand A. Joshi; Richard M. Leahy (CoRR, 2022)

Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs. - Wenhui Cui; Haleh Akrami; Anand A. Joshi; Richard M. Leahy (CoRR, 2022)

Neuro-GPT: Developing A Foundation Model for EEG. - Wenhui Cui; Woojae Jeong; Philipp Thölke; Takfarinas Medani; Karim Jerbi; Anand A. Joshi; Richard M. Leahy (CoRR, 2023)

Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. - Wenhui Cui; Haleh Akrami; Ganning Zhao; Anand A. Joshi; Richard M. Leahy (CoRR, 2023)

Neuro-GPT: Towards A Foundation Model For EEG. - Wenhui Cui; Woojae Jeong; Philipp Thölke; Takfarinas Medani; Karim Jerbi; Anand A. Joshi; Richard M. Leahy (ISBI, 2024)

SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment. - Ganning Zhao; Wenhui Cui; Suya You; C.-C. Jay Kuo (WACV, 2024)

Generalizable Representation Learning for fMRI-based Neurological Disorder Identification. - Wenhui Cui; Haleh Akrami; Anand A. Joshi; Richard M. Leahy (Trans. Mach. Learn. Res., 2025)