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Deep Radiomic Analysis of MRI Related to Alzheimer's Disease., , and . IEEE Access, (2018)Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients., , , and . ISBI, page 1067-1071. IEEE, (2021)Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma., , , and . RNO-AI@MICCAI, volume 11991 of Lecture Notes in Computer Science, page 61-69. Springer, (2019)Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks., , , and . IEEE Access, (2019)Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer., , , , , , , , and . IEEE Access, (2020)Prediction of survival with multi-scale radiomic analysis in glioblastoma patients., , , and . Medical Biol. Eng. Comput., 56 (12): 2287-2300 (2018)Deep radiomic signature with immune cell markers predicts the survival of glioma patients., , , , , , and . Neurocomputing, (2022)Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma., , , and . RNO-AI@MICCAI, volume 11991 of Lecture Notes in Computer Science, page 36-43. Springer, (2019)Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features., , , and . IEEE Access, (2019)