Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics.

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Title: Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics.
Authors: Franco P; Energy Transformation Center, Faculty of Engineering, Universidad Andrés Bello, Santiago, Chile., Montalba C; Biomedical Engineering School, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile.; Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile.; Radiology Department, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile., Caulier-Cisterna R; Department of Informatics and Computing, Faculty of Engineering, Universidad Tecnológica Metropolitana, Santiago, Chile., Espinoza I; Institute of Physics, Pontificia Universidad Católica de Chile, Santiago, Chile., Cornejo M; Institute of Physics, Pontificia Universidad Católica de Chile, Santiago, Chile., Torres F; Biomedical Engineering School, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile.; Radiology Department, Hospital Carlos Van Buren, Valparaiso, Chile., Bennett C; Neurosurgery Department, Hospital Carlos Van Buren, Valparaiso, Chile., Chabert S; Biomedical Engineering School, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile.; Millennium Institute for Intelligent Healthcare Engineering-iHEALTH, Santiago, Chile.; Center of Interdisciplinary Biomedical and Engineering, Research for Health-MEDING, Universidad de Valparaíso, Valparaíso, Chile., Salas R; Biomedical Engineering School, Faculty of Engineering, Universidad de Valparaíso, Valparaíso, Chile. rodrigo.salas@uv.cl.; Millennium Institute for Intelligent Healthcare Engineering-iHEALTH, Santiago, Chile. rodrigo.salas@uv.cl.; Center of Interdisciplinary Biomedical and Engineering, Research for Health-MEDING, Universidad de Valparaíso, Valparaíso, Chile. rodrigo.salas@uv.cl.
Source: Magma (New York, N.Y.) [MAGMA] 2026 Apr 28. Date of Electronic Publication: 2026 Apr 28.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 9310752 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1352-8661 (Electronic) Linking ISSN: 09685243 NLM ISO Abbreviation: MAGMA Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1352-8661
DOI:10.1007/s10334-026-01346-7