Niha Beig, PhD
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Radiomics and radiogenomics in lung cancer: a review for the clinician
R Thawani, M McLane, N Beig, S Ghose, P Prasanna, V Velcheti, ...
Lung cancer 115, 34-41, 2018
Perinodular and intranodular radiomic features on lung CT images distinguish adenocarcinomas from granulomas
N Beig, M Khorrami, M Alilou, P Prasanna, N Braman, M Orooji, S Rakshit, ...
Radiology 290 (3), 783-792, 2019
Association of peritumoral radiomics with tumor biology and pathologic response to preoperative targeted therapy for HER2 (ERBB2)–positive breast cancer
N Braman, P Prasanna, J Whitney, S Singh, N Beig, M Etesami, ...
JAMA network open 2 (4), e192561-e192561, 2019
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma
N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ...
Scientific reports 8 (1), 1-11, 2018
An integrated segmentation and shape‐based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT
M Alilou, N Beig, M Orooji, P Rajiah, V Velcheti, S Rakshit, N Reddy, ...
Medical physics 44 (7), 3556-3569, 2017
Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study
M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ...
American Journal of Neuroradiology 39 (12), 2187-2193, 2018
Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography
M Orooji, M Alilou, S Rakshit, NG Beig, M Khorrami, P Rajiah, R Thawani, ...
Journal of Medical Imaging 5 (2), 024501, 2018
CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective …
P Vaidya, K Bera, A Gupta, X Wang, G Corredor, P Fu, N Beig, ...
The Lancet Digital Health 2 (3), e116-e128, 2020
Quantitative vessel tortuosity: A potential ct imaging biomarker for distinguishing lung granulomas from adenocarcinomas
M Alilou, M Orooji, N Beig, P Prasanna, P Rajiah, C Donatelli, V Velcheti, ...
Scientific reports 8 (1), 1-16, 2018
Radiogenomic analysis of hypoxia pathway reveals computerized MRI descriptors predictive of overall survival in glioblastoma
N Beig, J Patel, P Prasanna, S Partovi, V Varadan, A Madabhushi, ...
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 101341U, 2017
Radiogenomic-Based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma
N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ...
Clinical Cancer Research 26 (8), 1866-1876, 2020
Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models
MMS Matsumoto, NG Beig, JK Udupa, S Archer, DA Torigian
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90350J, 2014
Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere …
P Prasanna, J Mitra, N Beig, A Nayate, J Patel, S Ghose, R Thawani, ...
Scientific reports 9 (1), 1-13, 2019
Vascular network organization via Hough transform (VaNgOGH): a novel radiomic biomarker for diagnosis and treatment response
N Braman, P Prasanna, M Alilou, N Beig, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2018
Radiographic-deformation and textural heterogeneity (r-depth): an integrated descriptor for brain tumor prognosis
P Prasanna, J Mitra, N Beig, S Partovi, G Singh, M Pinho, A Madabhushi, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2017
Computerized textural analysis of lung CT to enable quantification of tumor infiltrating lymphocytes in NSCLC.
M Orooji, S Rakshit, N Beig, A Madabhushi, V Velcheti
Journal of Clinical Oncology 34 (15_suppl), 11584-11584, 2016
Introduction to radiomics and radiogenomics in neuro-oncology: implications and challenges
N Beig, K Bera, P Tiwari
Neuro-oncology Advances 2 (Supplement_4), iv3-iv14, 2020
Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at …
R Verma, R Correa, VB Hill, V Statsevych, K Bera, N Beig, A Mahammedi, ...
Radiology: Artificial Intelligence 2 (6), e190168, 2020
Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in Glioblastoma
N Beig, S Singh, K Bera, P Prasanna, G Singh, J Chen, ...
Neuro-oncology, 2020
Predicting response to pemetrexed chemotherapy in non-small cell lung cancer (NSCLC) with baseline computed tomography (CT) shape and texture features
A Madabhushi, V Velcheti, M Orooji, S Rakshit, M Alilou, N Beig
US Patent 10,458,895, 2019
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