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Wenhui Cui
Wenhui Cui
Verified email at usc.edu
Title
Cited by
Cited by
Year
Semi-supervised brain lesion segmentation with an adapted mean teacher model
W Cui, Y Liu, Y Li, M Guo, Y Li, X Li, T Wang, X Zeng, C Ye
Information Processing in Medical Imaging: 26th International Conference …, 2019
1792019
Neuro-GPT: Towards A Foundation Model for EEG
W Cui, W Jeong, P Thölke, T Medani, K Jerbi, AA Joshi, RM Leahy
IEEE International Symposium on Biomedical Imaging 2024, 2023
4*2023
Knowledge transfer between brain lesion segmentation tasks with increased model capacity
Y Liu, W Cui, Q Ha, X Xiong, X Zeng, C Ye
Computerized medical imaging and graphics 88, 101842, 2021
42021
Semi-supervised Learning using Robust Loss
W Cui, H Akrami, AA Joshi, RM Leahy
Medical Imaging Meets NeurIPS Workshop, NeurIPS 2022, 2022
32022
Prediction of posttraumatic epilepsy using machine learning
H Akrami, A Irimia, W Cui, AA Joshi, RM Leahy
Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and …, 2021
32021
Meta transfer of self-supervised knowledge: Foundation model in action for post-traumatic epilepsy prediction
W Cui, H Akrami, G Zhao, AA Joshi, RM Leahy
arXiv preprint arXiv:2312.14204, 2023
12023
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment
G Zhao, W Cui, S You, CCJ Kuo
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
12023
Learning from imperfect training data using a robust loss function: application to brain image segmentation
H Akrami, W Cui, AA Joshi, RM Leahy
arXiv preprint arXiv:2208.04941, 2022
12022
Prediction of Post Traumatic Epilepsy using MRI-based Imaging Markers
H Akrami, W Cui, PE Kim, CN Heck, A Irimia, K Jebri, D Nair, RM Leahy, ...
bioRxiv, 2024.01. 12.575454, 2024
2024
Toward Improved Generalization: Meta Transfer of Self-supervised Knowledge on Graphs
W Cui, H Akrami, AA Joshi, RM Leahy
arXiv preprint arXiv:2212.08217, 2022
2022
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