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Unimodal vs. multimodal deep learning for non-invasive MGMT promoter methylation prediction in glioblastoma: A systematic evaluation on the BraTS 2021 dataset.

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Title: Unimodal vs. multimodal deep learning for non-invasive MGMT promoter methylation prediction in glioblastoma: A systematic evaluation on the BraTS 2021 dataset.
Authors: Oulia, Freddy1,2 (AUTHOR), Charton, Philippe1,2 (AUTHOR), Kabir, Muhammad3 (AUTHOR), Gardebien, Fabrice1,2 (AUTHOR), Damour, Cédric4 (AUTHOR), Cadet, Frederic1,2,5 (AUTHOR) cedric.damour@univ-reunion.fr
Source: PLoS ONE. 6/21/2026, Vol. 21 Issue 6, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Unimodal vs. multimodal deep learning for non-invasive MGMT promoter methylation prediction in glioblastoma: A systematic evaluation on the BraTS 2021 dataset.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194544393
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        Value: 10.1371/journal.pone.0351405
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        Text: English
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      – TitleFull: Unimodal vs. multimodal deep learning for non-invasive MGMT promoter methylation prediction in glioblastoma: A systematic evaluation on the BraTS 2021 dataset.
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              Text: 6/21/2026
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              Y: 2026
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