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Scientific Reports|October 18, 2018
Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomasMehdi Alilou, Mahdi Orooji, Niha Beig, et al.
IEEE Transactions on Medical Imaging|February 2, 2022
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in GlioblastomaMarwa Ismail, Prateek Prasanna, Kaustav Bera, et al.
Frontiers in Oncology|September 21, 2023
Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findingsAbhishek Midya, Amogh Hiremath, Jacob Huber, et al.
IEEE Journal of Biomedical and Health Informatics|August 13, 2021
Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site StudyAmogh Hiremath, Kaustav Bera, Lei Yuan, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 31, 2026
Computationally Derived Spatial Immune Signature Identifies Trastuzumab Responders in HER2+ Breast Cancer: NSABP B41 Clinical Trial ValidationSatvika Bharadwaj, Germán Corredor, Hilmi Al-Shakhshir, et al.
Frontiers in Radiology|November 28, 2022
An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective StudyPranjal Vaidya, Mehdi Alilou, Amogh Hiremath, et al.
Scientific Reports|January 10, 2018
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in GlioblastomaNiha Beig, Jay Patel, Prateek Prasanna, et al.
Scientific Reports|October 30, 2019
Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomasMehdi Alilou, Mahdi Orooji, Niha Beig, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|September 12, 2018
Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung CancerGermán Corredor, Xiangxue Wang, Yu Zhou, et al.
Circulation. Arrhythmia and Electrophysiology|February 12, 2021
Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation PostablationMarjan Firouznia, Albert K Feeny, Michael A LaBarbera, et al.
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