עקוב אחר
Prateek Prasanna
Prateek Prasanna
Assistant Professor, Stony Brook University
כתובת אימייל מאומתת בדומיין stonybrook.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
22992018
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
6132017
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
5062014
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
5032021
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
4802018
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
3142019
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
2952017
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
2822019
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
2592020
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
2412022
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
1812021
Co-occurrence of local anisotropic gradient orientations (CoLlAGe): a new radiomics descriptor
P Prasanna, P Tiwari, A Madabhushi
Scientific reports 6 (1), 1-14, 2016
1722016
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
1302016
Computer Vision Based Crack Detection and Analysis
P Prasanna, K Dana, N Gucunski, B Basily
Proc. of SPIE Vol 8345, 834542-1, 2012
1302012
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
1282018
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
1232020
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
1112020
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
882018
Self pre-training with masked autoencoders for medical image classification and segmentation
L Zhou, H Liu, J Bae, J He, D Samaras, P Prasanna
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-6, 2023
842023
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
802022
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מאמרים 1–20