Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models. - Monica M. S. Matsumoto; Niha G. Beig; Jayaram K. Udupa; Steven Archer; Drew A. Torigian (Computer-Aided Diagnosis, 2014)

Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma. - Niha G. Beig; Jay Patel; Prateek Prasanna; Sasan Partovi; Vinay Varadan; Anant Madabhushi; Pallavi Tiwari (Computer-Aided Diagnosis, 2017)

Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis. - Prateek Prasanna; Jhimli Mitra; Niha G. Beig; Sasan Partovi; Gagandeep Singh; Marco Pinho; Anant Madabhushi; Pallavi Tiwari (MICCAI (2), 2017)

Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response. - Nathaniel Braman; Prateek Prasanna; Mehdi Alilou; Niha G. Beig; Anant Madabhushi (MICCAI (2), 2018)

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 (Computer-Aided Diagnosis, 2019)

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)

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 (Computer-Aided Diagnosis, 2019)

Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology. - Kaustav Bera; Niha G. Beig; Pallavi Tiwari (RNO-AI@MICCAI, 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)

Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores. - Ruiwen Ding; Prateek Prasanna; Germán Corredor; Cheng Lu 001; Priya Velu; Khoi Le; Patrick Leo; Niha G. Beig; Vamsidhar Velcheti; David L. Rimm; Kurt A. Schalper; Anant Madabhushi (Digital Pathology, 2020)

Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer. - Rohan P. Joshi; Boleslaw L. Osinski; Niha G. Beig; Lingdao Sha; Kshitij Ingale; Martin C. Stumpe (CoRR, 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)