Showing results (41-50 of 82) with videos related to
Sort By:
Pageof 9
Contrast Media & Molecular Imaging|February 20, 2016
In vivo comparison of tantalum, tungsten, and bismuth enteric contrast agents to complement intravenous iodine for double-contrast dual-energy CT of the bowelSamira Rathnayake, John Mongan, Andrew S Torres, et al.Annals of Internal Medicine|June 11, 2019
What Physicians and Health Organizations Should Know About Mandated Imaging Appropriate Use CriteriaKeith D Hentel, Andrew Menard, John Mongan, et al.Radiology. Artificial Intelligence|May 3, 2021
The RSNA Pulmonary Embolism CT DatasetErrol Colak, Felipe C Kitamura, Stephen B Hobbs, et al.Journal of the American Medical Informatics Association : JAMIA|December 15, 2022
Behavioral "nudges" in the electronic health record to reduce waste and misuse: 3 interventionsCarrie K Grouse, Maggie W Waung, A Jay Holmgren, et al.Clinical Imaging|December 26, 2017
Association between misty mesentery with baseline or new diagnosis of cancer: a matched cohort studySivan G Marcus, Susana Candia, Marc D Kohli, et al.The Journal of Urology|July 27, 2017
Contrast Enhanced Ultrasound as a Radiation-Free Alternative to Fluoroscopic Nephrostogram for Evaluating Ureteral PatencyThomas Chi, Manint Usawachintachit, Stefanie Weinstein, et al.Radiology|February 25, 2017
Feasibility of Antegrade Contrast-enhanced US Nephrostograms to Evaluate Ureteral PatencyThomas Chi, Manint Usawachintachit, John Mongan, et al.Journal of Imaging Informatics in Medicine|March 14, 2024
Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.Radiology|November 15, 2022
Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast CancerMaggie Chung, Evan Calabrese, John Mongan, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 3, 2026
A deep learning-based automated pipeline for colorectal cancer detection in contrast-enhanced CT imagesChenhui Qiu, Sarah Miller, Barathi Subramanian, et al.Pageof 9