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A Bayesian deep segmentation framework for glioblastoma tumor segmentation using follow-up MRIs.

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Title: A Bayesian deep segmentation framework for glioblastoma tumor segmentation using follow-up MRIs.
Authors: Kabir, Tanjida1,2 (AUTHOR), Hsieh, Kang-Lin1,2 (AUTHOR), Nunez, Luis3 (AUTHOR), Hsu, Yu-Chun1,2 (AUTHOR), Rodriguez Quintero, Juan C.4 (AUTHOR), Arevalo, Octavio5 (AUTHOR), Zhao, Kangyi6 (AUTHOR), Zhu, Jay-Jiguang4 (AUTHOR), Riascos, Roy F.3 (AUTHOR), Madadi, Mahboubeh7 (AUTHOR), Jiang, Xiaoqian1,2 (AUTHOR), Shams, Shayan1,2,3 (AUTHOR) shayan.shams@uth.tmc.edu
Source: Frontiers in Neuroimaging. 2025, p1-18. 18p.
Database: Academic Search Ultimate
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        Value: 10.3389/fnimg.2025.1630245
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      – TitleFull: A Bayesian deep segmentation framework for glioblastoma tumor segmentation using follow-up MRIs.
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            – D: 06
              M: 11
              Text: 2025
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              Y: 2025
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