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Journal of Computer Assisted Tomography|September 27, 2007
Transparent rendering of intraluminal contrast for 3D polyp visualization at CT colonographyRong Shi, Sandy Napel, Jarrett K Rosenberg, et al.Radiology|June 28, 2006
Articular cartilage of the knee: rapid three-dimensional MR imaging at 3.0 T with IDEAL balanced steady-state free precession--initial experienceGarry E Gold, Scott B Reeder, Huanzhou Yu, et al.Journal of Computer Assisted Tomography|April 22, 2004
Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigmAravind Mani, Sandy Napel, David S Paik, et al.Annals of Surgical Oncology|February 15, 2023
Validation of a Resectability Scoring System for Prediction of Pancreatic Adenocarcinoma Surgical OutcomesDiego A S Toesca, Matthew Susko, Rie von Eyben, et al.Journal of Magnetic Resonance Imaging : JMRI|January 30, 2007
Balanced SSFP imaging of the musculoskeletal systemGarry E Gold, Brian A Hargreaves, Scott B Reeder, et al.Radiology|May 23, 2006
CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detectionRong Shi, Pamela Schraedley-Desmond, Sandy Napel, et al.Journal of Magnetic Resonance Imaging : JMRI|December 25, 2018
Combined 5-minute double-echo in steady-state with separated echoes and 2-minute proton-density-weighted 2D FSE sequence for comprehensive whole-joint knee MRI assessmentAkshay S Chaudhari, Kathryn J Stevens, Bragi Sveinsson, et al.Journal of Digital Imaging|February 12, 2022
Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical ReportsAudrey Y Ha, Bao H Do, Adam L Bartret, et al.Pancreas|October 7, 2022
Design and Rationale for the Use of Magnetic Resonance Imaging Biomarkers to Predict Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis ConsortiumTemel Tirkes, Vernon M Chinchilli, Ulas Bagci, et al.Plos Medicine|November 28, 2018
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNetNicholas Bien, Pranav Rajpurkar, Robyn L Ball, et al.Pageof 8