A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics.

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Title: A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics.
Authors: Jajroudi, Mahdie1,2 (AUTHOR), Jamalirad, Hossein2 (AUTHOR), Enferadi, Milad3 (AUTHOR), Roshanravan, Vahid4 (AUTHOR), Emami, Farshad5 (AUTHOR), Geramifar, Parham6 (AUTHOR) pgeramifar@sina.tums.ac.ir, Eslami, Saeid1,2 (AUTHOR) EslamiS@mums.ac.ir
Source: EJNMMI Physics. 6/15/2026, Vol. 13 Issue 1, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics.
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  Data: <searchLink fieldCode="JN" term="%22EJNMMI+Physics%22">EJNMMI Physics</searchLink>. 6/15/2026, Vol. 13 Issue 1, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194576234
RecordInfo BibRecord:
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        Value: 10.1186/s40658-026-00838-8
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      – Code: eng
        Text: English
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      – TitleFull: A deep learning framework for lesion-level treatment response prediction in hodgkin lymphoma using PET/CT tensor radiomics.
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            NameFull: Jajroudi, Mahdie
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            NameFull: Jamalirad, Hossein
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            NameFull: Enferadi, Milad
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            NameFull: Emami, Farshad
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              Text: 6/15/2026
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              Y: 2026
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