Niha Beig
Title
Cited by
Cited by
Year
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
1412018
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
582019
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
392019
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
382018
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
252017
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
162018
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
162018
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
112017
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
102018
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
72020
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
52018
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
52014
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
42017
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
42016
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
32020
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
22019
Evaluation of radiomic features on baseline CT scan to predict clinical benefit for pemetrexed based chemotherapy in metastatic lung adenocarcinoma.
VV Sagar Rakshit, Mahdi Orooji, Niha Beig, Mehdi Alilou, Nathan A Pennell ...
ASCO Annual Meeting Proceedings 34 (15_suppl), 11582, 2016
2*2016
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
12019
Opportunities and Advances in Radiomics and Radiogenomics in Neuro-Oncology
K Bera, N Beig, P Tiwari
International Workshop on Radiomics and Radiogenomics in Neuro-oncology, 12-23, 2019
12019
Radiogenomic characterization of response to chemo-radiation therapy in glioblastoma is associated with PI3K/AKT/mTOR and apoptosis signaling pathways
N Beig, P Prasanna, V Hill, R Verma, V Varadan, A Madabhushi, P Tiwari
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 109501B, 2019
12019
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