| Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging IL Xi, Y Zhao, R Wang, M Chang, S Purkayastha, K Chang, RY Huang, ... Clinical Cancer Research 26 (8), 1944-1952, 2020 | 115 | 2020 |
| Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging R Wang, Y Cai, IK Lee, R Hu, S Purkayastha, I Pan, T Yi, TML Tran, S Lu, ... European radiology 31, 4960-4971, 2021 | 46 | 2021 |
| Machine learning-based prediction of COVID-19 severity and progression to critical illness using CT imaging and clinical data S Purkayastha, Y Xiao, Z Jiao, R Thepumnoeysuk, K Halsey, J Wu, ... Korean journal of radiology 22 (7), 1213, 2021 | 23 | 2021 |
| Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics JW Choi, R Hu, Y Zhao, S Purkayastha, J Wu, AJ McGirr, ... Abdominal Radiology 46, 2656-2664, 2021 | 15 | 2021 |
| Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm S Purkayastha, Y Zhao, J Wu, R Hu, A McGirr, S Singh, K Chang, ... Scientific reports 10 (1), 19503, 2020 | 14 | 2020 |
| Safety and efficacy of a novel approach to pulmonary vein isolation using prolonged apneic oxygenation JK Gabriels, X Ying, S Purkayastha, E Braunstein, CF Liu, SM Markowitz, ... Clinical Electrophysiology 9 (4), 497-507, 2023 | 6 | 2023 |
| Industry relationships among authors of US Clinical Practice Guidelines in cardiology from 2014 to 2020 S Purkayastha, R Zhang, X Ying, V Kini Heliyon 9 (6), 2023 | 2 | 2023 |
| PO-05-162 HIGH PREVALENCE OF VARIANTS IN CARDIOMYOPATHY-ASSOCIATED GENES AMONG PATIENTS WITH SUSPECTED INHERITED ARRHYTHMIAS: INSIGHTS FROM A SINGLE INSTITUTION WHOLE GENOME … S Purkayastha, H Chen, H Glum, D Reynolds, P Collins, V Qu, CF Liu, ... Heart Rhythm 20 (5), S658-S659, 2023 | | 2023 |
| Trends in Industry Payments to Cardiologists From 2014 to 2019 R Zhang, S Purkayastha, X Ying, PA Kahn, R Zhang, S Li, V Qu, V Kini Circulation: Cardiovascular Quality and Outcomes 16 (5), e009820, 2023 | | 2023 |
| Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection S Purkayastha, H Shalu, D Gutman, S Modak, E Basu, B Kushner, ... arXiv preprint arXiv:2211.14499, 2022 | | 2022 |
| ASSESSMENT OF THE TRANSITION TO ONLINE PRESCRIPTION REIMBURSEMENTS AT A NYC MEDICAL STUDENT PRIMARY CARE FREE CLINIC S Purkayastha, H Kim, G Thomas, X Ying, P Charney, AS Batavia Journal of General Internal Medicine, S234-S234, 2022 | | 2022 |
| Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging (Oct, 10.1007/s00330-020-07266-x, 2020) R Wang, Y Cai, IK Lee, R Hu, S Purkayastha, I Pan, T Yi, TML Tran, S Lu, ... EUROPEAN RADIOLOGY 31 (11), 8816-8816, 2021 | | 2021 |
| Cross-sectional survey of treatments and outcomes among injured adult patients in Kigali, Rwanda S Bilal, JP Nzabandora, DL Uwamahoro, L Meisner, S Purkayastha, ... African journal of emergency medicine 11 (2), 299-302, 2021 | | 2021 |
| 3: 18 PM Abstract No. 266 Differentiation of low-and high-grade renal cell carcinoma using magnetic resonance–based radiomics S Purkayastha, J Cheng, M Chang, R Wang, M Soulen, S Stavropoulos, ... Journal of Vascular and Interventional Radiology 31 (3), S119, 2020 | | 2020 |
