Prateek Prasanna
Title
Cited by
Cited by
Year
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
3792018
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
2082014
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), 1-14, 2017
2012017
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
1632018
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 (10), 4188-4197, 2017
1392017
Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor
P Prasanna, P Tiwari, A Madabhushi
Scientific reports 6, 37241, 2016
722016
Computer Vision Based Crack Detection and Analysis
P Prasanna, K Dana, N Gucunski, B Basily
Proc. of SPIE Vol 8345, 834542-1, 2012
702012
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
662016
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
652019
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
482019
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
472018
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
472013
Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): distinguishing tumor confounders and molecular subtypes on MRI
P Prasanna, P Tiwari, A Madabhushi
International Conference on Medical Image Computing and Computer-Assisted …, 2014
282014
Texture descriptors to distinguish radiation necrosis from recurrent brain tumors on multi-parametric MRI
P Tiwari, P Prasanna, L Rogers, L Wolansky, C Badve, A Sloan, M Cohen, ...
Medical Imaging 2014: Computer-Aided Diagnosis 9035, 90352B, 2014
282014
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, 2020
242020
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
202018
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
142018
Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes
E Bektik, A Dennis, P Prasanna, A Madabhushi, JD Fu
PLoS One 12 (8), e0183000, 2017
112017
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
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
102020
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