S. Purkayastha

Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging

Raymond Y Huang, Yong Fan, Alvin C. Silva, 2020, Clinical Cancer Research.

Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics

Alvin C. Silva, S. Stavropoulos, M. Soulen, 2021, Abdominal Radiology.

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm

Raymond Y Huang, Alvin C. Silva, S. Stavropoulos, 2020, Scientific reports.

Cross-sectional survey of treatments and outcomes among injured adult patients in Kigali, Rwanda

S. Purkayastha, A. Aluisio, D. Uwamahoro, 2021, African journal of emergency medicine : Revue africaine de la medecine d'urgence.

Deep neuroevolution for limited, heterogeneous data: proof-of-concept application to Neuroblastoma brain metastasis using a small virtual pooled image collection

J. Stember, S. Purkayastha, B. Kushner, 2022, ArXiv.

Safety and Efficacy of a Novel Approach to Pulmonary Vein Isolation Using Prolonged Apneic Oxygenation.

S. Markowitz, G. Thomas, CHRISTOPHER F. Liu, 2022, JACC. Clinical electrophysiology.

Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging

Raymond Y Huang, I. Pan, Ken Chang, 2020, European Radiology.

Title: Deep learning to distinguish benign from malignant renal lesions based on routine MR imaging Authors and affiliations: 1. Ianto

Raymond Y Huang, Yong Fan, Alvin C. Silva, 2020 .

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

Yong Fan, R. Sebro, Z. Jiao, 2021, Korean journal of radiology.

Correction to: Evaluation of a convolutional neural network for ovarian tumor differentiation based on magnetic resonance imaging

Raymond Y Huang, I. Pan, Ken Chang, 2021, European Radiology.