Niha G. Beig

According to our database, Niha G. Beig authored at least 12 papers between 2014 and 2022.

Collaborative distances:

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

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

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

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, Priya Velu, Khoi Le, Patrick Leo, Niha G. Beig, Vamsidhar Velcheti, David L. Rimm, Kurt A. Schalper, Anant Madabhushi

Proceedings of the Medical Imaging 2020: Digital Pathology, 2020

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology.

Kaustav Bera, Niha G. Beig, Pallavi Tiwari

Proceedings of the Radiomics and Radiogenomics in Neuro-oncology, 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, 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, Pallavi Tiwari

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

2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2014

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

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014