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Brain Informatics|May 5, 2026
A deep-learning framework for brain tumor segmentation via three-dimensional mass-preserving geometric transformationTsung-Ming Huang, Kai-Qian Zheng, Wen-Wei Lin, et al.Scientific Reports|April 20, 2022
A novel 2-phase residual U-net algorithm combined with optimal mass transportation for 3D brain tumor detection and segmentationWen-Wei Lin, Jia-Wei Lin, Tsung-Ming Huang, et al.Scientific Reports|August 11, 2021
3D brain tumor segmentation using a two-stage optimal mass transport algorithmWen-Wei Lin, Cheng Juang, Mei-Heng Yueh, et al.Proceedings of the National Academy of Sciences of the United States of America|July 8, 2025
OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter studyZhengyang Zhu, Han Wang, Tiexiang Li, et al.Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.Pageof 1