| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge arXiv preprint arXiv:1811.02629, 2018 | 1774 | 2018 |
| Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI NM Braman, M Etesami, P Prasanna, C Dubchuk, H Gilmore, P Tiwari, ... Breast Cancer Research 19, 1-14, 2017 | 542 | 2017 |
| 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 | 448 | 2018 |
| Automated crack detection on concrete bridges P Prasanna, KJ Dana, N Gucunski, BB Basily, HM La, RS Lim, ... IEEE Transactions on automation science and engineering 13 (2), 591-599, 2014 | 446 | 2014 |
| The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment MA Haendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ... Journal of the American Medical Informatics Association 28 (3), 427-443, 2021 | 399 | 2021 |
| 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 | 277 | 2019 |
| Radiomic features from the peritumoral brain parenchyma on treatment-naive multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme … P Prasanna, J Patel, S Partovi, A Madabhushi, P Tiwari European radiology 27, 4188-4197, 2017 | 274 | 2017 |
| 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 | 231 | 2019 |
| Changes in CT radiomic features associated with lymphocyte distribution predict overall survival and response to immunotherapy in non–small cell lung cancer M Khorrami, P Prasanna, A Gupta, P Patil, PD Velu, R Thawani, ... Cancer immunology research 8 (1), 108-119, 2020 | 223 | 2020 |
| Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor P Prasanna, P Tiwari, A Madabhushi Scientific reports 6 (1), 37241, 2016 | 160 | 2016 |
| 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 | 135 | 2021 |
| Federated learning enables big data for rare cancer boundary detection S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ... Nature communications 13 (1), 7346, 2022 | 132 | 2022 |
| Computer-extracted texture features to distinguish cerebral radionecrosis from recurrent brain tumors on multiparametric MRI: a feasibility study P Tiwari, P Prasanna, L Wolansky, M Pinho, M Cohen, AP Nayate, ... American Journal of Neuroradiology 37 (12), 2231-2236, 2016 | 120 | 2016 |
| 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 | 115 | 2018 |
| Computer Vision Based Crack Detection and Analysis P Prasanna, K Dana, N Gucunski, B Basily Proc. of SPIE Vol 8345, 834542-1, 2012 | 112 | 2012 |
| 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 | 107 | 2020 |
| Self pre-training with masked autoencoders for medical image analysis L Zhou, H Liu, J Bae, J He, D Samaras, P Prasanna arXiv preprint arXiv:2203.05573 1 (3), 2022 | 90* | 2022 |
| 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 | 80 | 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 | 74 | 2018 |
| Decision Support System for Detection of Diabetic Retinopathy Using Smartphones P Prasanna, S Jain, N Bhagat, A Madabhushi 2013 7th International Conference on Pervasive Computing Technologies for …, 2013 | 65 | 2013 |
Anant MadabhushiDepartment of Biomedical Engineering, Professor, Biomedical Engineering, Emory Univ & Georgia TechEmail verificata su emory.edu
