| 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 | 455 | 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 | 286 | 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 | 242 | 2019 |
| Radiomics and radiogenomics in gliomas: a contemporary update G Singh, S Manjila, N Sakla, A True, AH Wardeh, N Beig, A Vaysberg, ... British journal of cancer 125 (5), 641-657, 2021 | 146 | 2021 |
| 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), 7, 2018 | 119 | 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 | 108 | 2020 |
| 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 | 87 | 2020 |
| 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 | 76 | 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 | 56 | 2017 |
| A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study. C Lu, K Bera, X Wang, P Prasanna, J Xu, A Janowczyk, N Beig, M Yang, ... The Lancet. Digital health 2 (11), e594-e606, 2020 | 51 | 2020 |
| MRQy—An open‐source tool for quality control of MR imaging data AR Sadri, A Janowczyk, R Zhou, R Verma, N Beig, J Antunes, ... Medical physics 47 (12), 6029-6038, 2020 | 48 | 2020 |
| 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 | 43 | 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), 15290, 2018 | 34 | 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, N Beig, MH Khorrami, P Rajiah, R Thawani, ... Journal of Medical Imaging 5 (2), 024501-024501, 2018 | 33 | 2018 |
| 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 23 (2), 251-263, 2021 | 32 | 2021 |
| Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset S Pati, R Verma, H Akbari, M Bilello, VB Hill, C Sako, R Correa, N Beig, ... Medical physics 47 (12), 6039-6052, 2020 | 30 | 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 | 30 | 2020 |
| Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome R Ding, P Prasanna, G Corredor, C Barrera, P Zens, C Lu, P Velu, P Leo, ... NPJ precision oncology 6 (1), 33, 2022 | 29 | 2022 |
| 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), 1145, 2019 | 25 | 2019 |
| 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, 476-485, 2017 | 18 | 2017 |
