7T MR of intracranial pathology: Preliminary observations and comparisons to 3T and 1.5T. - Emmanuel C. Obusez; Mark J. Lowe; Se-Hong Oh; Irene Wang; Jennifer Bullen; Paul Ruggieri; Virginia B. Hill; Daniel Lockwood; Todd Emch; Doksu Moon; Gareth Loy; Jonathan Lee; et al. (NeuroImage, 2018)

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI. - Sukanya Iyer; Marwa Ismail; Benita Tamrazi; Ashley Margol; Ruchika Verma; Ramon Correa; Prateek Prasanna; Niha G. Beig; Kaustav Bera; Volodymyr Statsevych; Alexander R. Judkins; Anant Madabhushi; et al. (Computer-Aided Diagnosis, 2019)

Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI. - Marwa Ismail; Ramon Correa; Kaustav Bera; Ruchika Verma; Anas Saeed Bamashmos; Niha G. Beig; Jacob Antunes; Prateek Prasanna; Volodymyr Statsevych; Manmeet Ahluwalia; Pallavi Tiwari (MICCAI (2), 2020)

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Anant Madabhushi; Manmeet Ahluwalia; Pallavi Tiwari (CoRR, 2020)

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study. - Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Evan Mason; Ramon Correa; Prateek Prasanna; Gagandeep Singh; Kaustav Bera; Rajat Thawani; Manmeet Ahluwalia; Anant Madabhushi; Pallavi Tiwari (Frontiers Comput. Neurosci., 2020)

A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors. - Ipsa Yadav; Marwa Ismail; Volodymyr Statsevych; Virginia B. Hill; Ramon Correa; Manmeet Ahluwalia; Pallavi Tiwari (Computer-Aided Diagnosis, 2022)

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. - Marwa Ismail; Prateek Prasanna; Kaustav Bera; Volodymyr Statsevych; Virginia B. Hill; Gagandeep Singh; Sasan Partovi; Niha G. Beig; Sean D. McGarry; Peter S. LaViolette; Manmeet Ahluwalia; Anant Madabhushi; et al. (IEEE Trans. Medical Imaging, 2022)

Graph-Radiomics Learning (GrRAiL): Application to Distinguishing Glioblastoma Recurrence from Pseudo-Progression on Structural MRI. - Dheerendranath Battalapalli; Apoorva Safai; Marwa Ismail; Virginia B. Hill; Volodymyr Statsevych; Raymond Huang; Manmeet Ahluwalia; Pallavi Tiwari (ISBI, 2024)