Daniel S. Rubin to Reproducibility of Results
This is a "connection" page, showing publications Daniel S. Rubin has written about Reproducibility of Results.
Connection Strength
0.231
-
Development and Pilot Study of an iOS Smartphone Application for Perioperative Functional Capacity Assessment. Anesth Analg. 2020 09; 131(3):830-839.
Score: 0.120
-
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports. J Digit Imaging. 2022 06; 35(3):524-533.
Score: 0.033
-
Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study. Lancet Oncol. 2021 01; 22(1):132-141.
Score: 0.031
-
Regulatory Frameworks for Development and Evaluation of Artificial Intelligence-Based Diagnostic Imaging Algorithms: Summary and Recommendations. J Am Coll Radiol. 2021 Mar; 18(3 Pt A):413-424.
Score: 0.030
-
MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set. Radiology. 2013 May; 267(2):560-9.
Score: 0.018