Virginia B. Hill

According to our database, Virginia B. Hill authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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, Pallavi Tiwari

IEEE Trans. Medical Imaging, 2022

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

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

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

2019

Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.

Ruchika Verma, Ramon Correa, Virginia B. Hill, Niha G. Beig, Abdelkader Mahammedi, Anant Madabhushi, Pallavi Tiwari

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways.

Niha G. Beig, Prateek Prasanna, Virginia B. Hill, Ruchika Verma, Vinay Varadan, Anant Madabhushi, Pallavi Tiwari

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation.

Yanran Wang, Hengkang Wang, Sophia Chen, Aggelos K. Katsaggelos, Adam Martersteck, James Higgins, Virginia B. Hill, Todd B. Parrish

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

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, Matthew Kiczek, Manoj Massand, Volodymyr Statsevych, Todd Stultz, Stephen E. Jones

NeuroImage, 2018