Deep Radiomic Analysis of MRI Related to Alzheimer's Disease. - Ahmad Chaddad; Christian Desrosiers; Tamim Niazi (IEEE Access, 2018)

Prediction of survival with multi-scale radiomic analysis in glioblastoma patients. - Ahmad Chaddad; Siham Sabri; Tamim Niazi; Bassam Abdulkarim (Medical Biol. Eng. Comput., 2018)

Deep Radiomic Features from MRI Scans Predict Survival Outcome of Recurrent Glioblastoma. - Ahmad Chaddad; Mingli Zhang; Christian Desrosiers; Tamim Niazi (RNO-AI@MICCAI, 2019)

Imaging Signature of 1p/19q Co-deletion Status Derived via Machine Learning in Lower Grade Glioma. - Saima Rathore; Ahmad Chaddad; Nadeem Haider Bukhari; Tamim Niazi (RNO-AI@MICCAI, 2019)

Predicting the Gene Status and Survival Outcome of Lower Grade Glioma Patients With Multimodal MRI Features. - Ahmad Chaddad; Christian Desrosiers; Bassam Abdulkarim; Tamim Niazi (IEEE Access, 2019)

Deep Radiomic Analysis Based on Modeling Information Flow in Convolutional Neural Networks. - Ahmad Chaddad; Matthew Toews; Christian Desrosiers; Tamim Niazi (IEEE Access, 2019)

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. - Ahmad Chaddad; Saima Rathore; Mingli Zhang; Christian Desrosiers; Tamim Niazi (CoRR, 2019)

Deep Radiomic Analysis to Predict Gleason Score in Prostate Cancer. - Ahmad Chaddad; Michael J. Kucharczyk; Christian Desrosiers; Idowu Paul Okuwobi; Yousef Katib; Mingli Zhang; Saima Rathore; Paul Sargos; Tamim Niazi (IEEE Access, 2020)

Modeling of Textures to Predict Immune Cell Status and Survival of Brain Tumour Patients. - Ahmad Chaddad; Mingli Zhang; Lama Hassan; Tamim Niazi (ISBI, 2021)

Deep radiomic signature with immune cell markers predicts the survival of glioma patients. - Ahmad Chaddad; Paul Daniel; Mingli Zhang; Saima Rathore; Paul Sargos; Christian Desrosiers; Tamim Niazi (Neurocomputing, 2022)