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Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study.
Sadeghinasab A, Fatahiasl J, Tahmasbi M, Razmjoo S, Yousefipour M. Sadeghinasab A, et al. Among authors: yousefipour m. Health Sci Rep. 2024 Dec 30;8(1):e70323. doi: 10.1002/hsr2.70323. eCollection 2025 Jan. Health Sci Rep. 2024. Retraction in: Health Sci Rep. 2025 Nov 20;8(11):e71527. doi: 10.1002/hsr2.71527. PMID: 39741746 Free PMC article. Retracted.
Evaluating machine learning models for post-surgery treatment response assessment in glioblastoma multiforme: a comparative study of gray level co-occurrence matrix (GLCM), curvelet, and combined radiomics features selected by multiple algorithms.
Alibabaei S, Yousefipour M, Rahmani M, Raminfard S, Tahmasbi M. Alibabaei S, et al. Among authors: yousefipour m. BMC Med Imaging. 2025 Sep 1;25(1):362. doi: 10.1186/s12880-025-01906-8. BMC Med Imaging. 2025. PMID: 40890604 Free PMC article.