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Niha G. Beig
ORCID
Publication Activity (10 Years)
Years Active: 2014-2022
Publications (10 Years): 13
Top Topics
Treatment Plan
Survival Prediction
Radiation Therapy
Lung Cancer
Top Venues
Medical Imaging: Computer-Aided Diagnosis
CoRR
MICCAI (2)
RNO-AI@MICCAI
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Publications
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Rohan P. Joshi
,
Boleslaw L. Osinski
,
Niha G. Beig
,
Lingdao Sha
,
Kshitij Ingale
,
Martin C. Stumpe
Imaging-based histological features are predictive of MET alterations in Non-Small Cell Lung Cancer.
CoRR
(2022)
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
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
IEEE Trans. Medical Imaging
41 (7) (2022)
Marwa Ismail
,
Prateek Prasanna
,
Kaustav Bera
,
Volodymyr Statsevych
,
Virginia Hill
,
Gagandeep Singh
,
Sasan Partovi
,
Niha G. Beig
,
Sean D. McGarry
,
Peter S. LaViolette
,
Manmeet Ahluwalia
,
Anant Madabhushi
,
Pallavi Tiwari
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
CoRR
(2021)
Marwa Ismail
,
Ramon Correa
,
Kaustav Bera
,
Ruchika Verma
,
Anas Saeed Bamashmos
,
Niha G. Beig
,
Jacob Antunes
,
Prateek Prasanna
,
Volodymyr Statsevych
,
Manmeet Ahluwalia
,
Pallavi Tiwari
Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI.
MICCAI (2)
(2020)
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
Compactness measures of tumor infiltrating lymphocytes in lung adenocarcinoma are associated with overall patient survival and immune scores.
Medical Imaging: Digital Pathology
(2020)
Marwa Ismail
,
Ramon Correa
,
Kaustav Bera
,
Ruchika Verma
,
Anas Saeed Bamashmos
,
Niha G. Beig
,
Jacob Antunes
,
Prateek Prasanna
,
Volodymyr Statsevych
,
Manmeet Ahluwalia
,
Pallavi Tiwari
Spatial-And-Context aware (SpACe) "virtual biopsy" radiogenomic maps to target tumor mutational status on structural MRI.
CoRR
(2020)
Kaustav Bera
,
Niha G. Beig
,
Pallavi Tiwari
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology.
RNO-AI@MICCAI
(2019)
Niha G. Beig
,
Prateek Prasanna
,
Virginia Hill
,
Ruchika Verma
,
Vinay Varadan
,
Anant Madabhushi
,
Pallavi Tiwari
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways.
Medical Imaging: Computer-Aided Diagnosis
(2019)
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
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Ruchika Verma
,
Ramon Correa
,
Virginia Hill
,
Niha G. Beig
,
Abdelkader Mahammedi
,
Anant Madabhushi
,
Pallavi Tiwari
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Nathaniel Braman
,
Prateek Prasanna
,
Mehdi Alilou
,
Niha G. Beig
,
Anant Madabhushi
Vascular Network Organization via Hough Transform (VaNgOGH): A Novel Radiomic Biomarker for Diagnosis and Treatment Response.
MICCAI (2)
(2018)
Prateek Prasanna
,
Jhimli Mitra
,
Niha G. Beig
,
Sasan Partovi
,
Gagandeep Singh
,
Marco Pinho
,
Anant Madabhushi
,
Pallavi Tiwari
Radiographic-Deformation and Textural Heterogeneity (r-DepTH): An Integrated Descriptor for Brain Tumor Prognosis.
MICCAI (2)
(2017)
Niha G. Beig
,
Jay Patel
,
Prateek Prasanna
,
Sasan Partovi
,
Vinay Varadan
,
Anant Madabhushi
,
Pallavi Tiwari
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma.
Medical Imaging: Computer-Aided Diagnosis
(2017)
Monica M. S. Matsumoto
,
Niha G. Beig
,
Jayaram K. Udupa
,
Steven Archer
,
Drew A. Torigian
Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models.
Medical Imaging: Computer-Aided Diagnosis
(2014)