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Luke A Ginocchio

Showing results (1-10 of 17) with videos related to

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Current Problems in Diagnostic Radiology|July 16, 2019
Exploring Which Medical Schools Cost the Most: An Assessment of Medical School Characteristics Associated With School TuitionLuke A Ginocchio, Andrew B Rosenkrantz
Academic Radiology|April 8, 2016
Instructional Vignettes in Publication and Journalism Ethics in Radiology Research: Assessment via a Survey of Radiology TraineesAndrew B Rosenkrantz, Luke A Ginocchio
AJR. American Journal of Roentgenology|February 16, 2017
How Satisfied Are Patients With Their Radiologists? Assessment Using a National Patient Ratings WebsiteLuke A Ginocchio, Richard Duszak, Andrew B Rosenkrantz
Academic Radiology|October 4, 2016
Associations Between Academic Rank and Advanced Bibliometric Indices Among United States Academic RadiologistsAnthony Jiang, Luke A Ginocchio, Andrew B Rosenkrantz
Academic Radiology|October 4, 2016
Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology JournalsAndrew B Rosenkrantz, Ankur M Doshi, Luke A Ginocchio, et al.
Clinical Imaging|June 19, 2016
Evaluation for suspected acute appendicitis in the emergency department setting: a comparison of outcomes among three imaging pathwaysAndrew B Rosenkrantz, Anthony Labib, Luke A Ginocchio, et al.
Current Problems in Diagnostic Radiology|April 25, 2020
Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency DepartmentLuke A Ginocchio, John Rogener, Ryan Chung, et al.
Abdominal Radiology (New York)|November 18, 2025
Feasibility of deep learning-accelerated HASTE-FS for pancreatic cystic lesion surveillance: comparison with conventional HASTE and MRCPLinda Le, Luke A Ginocchio, Sooah Kim, et al.
AJR. American Journal of Roentgenology|March 17, 2017
Academic Radiologist Subspecialty Identification Using a Novel Claims-Based Classification SystemAndrew B Rosenkrantz, Wenyi Wang, Danny R Hughes, et al.
Journal of Computer Assisted Tomography|May 9, 2024
Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion DetectionLuke A Ginocchio, Sonam Jaglan, Angela Tong, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Current Problems in Diagnostic Radiology|July 16, 2019
Exploring Which Medical Schools Cost the Most: An Assessment of Medical School Characteristics Associated With School TuitionLuke A Ginocchio, Andrew B Rosenkrantz
Academic Radiology|April 8, 2016
Instructional Vignettes in Publication and Journalism Ethics in Radiology Research: Assessment via a Survey of Radiology TraineesAndrew B Rosenkrantz, Luke A Ginocchio
AJR. American Journal of Roentgenology|February 16, 2017
How Satisfied Are Patients With Their Radiologists? Assessment Using a National Patient Ratings WebsiteLuke A Ginocchio, Richard Duszak, Andrew B Rosenkrantz
Academic Radiology|October 4, 2016
Associations Between Academic Rank and Advanced Bibliometric Indices Among United States Academic RadiologistsAnthony Jiang, Luke A Ginocchio, Andrew B Rosenkrantz
Academic Radiology|October 4, 2016
Use of a Machine-learning Method for Predicting Highly Cited Articles Within General Radiology JournalsAndrew B Rosenkrantz, Ankur M Doshi, Luke A Ginocchio, et al.
Clinical Imaging|June 19, 2016
Evaluation for suspected acute appendicitis in the emergency department setting: a comparison of outcomes among three imaging pathwaysAndrew B Rosenkrantz, Anthony Labib, Luke A Ginocchio, et al.
Current Problems in Diagnostic Radiology|April 25, 2020
Brainstorming Our Way to Improved Quality, Safety, and Resident Wellness in a Resource-Limited Emergency DepartmentLuke A Ginocchio, John Rogener, Ryan Chung, et al.
Abdominal Radiology (New York)|November 18, 2025
Feasibility of deep learning-accelerated HASTE-FS for pancreatic cystic lesion surveillance: comparison with conventional HASTE and MRCPLinda Le, Luke A Ginocchio, Sooah Kim, et al.
AJR. American Journal of Roentgenology|March 17, 2017
Academic Radiologist Subspecialty Identification Using a Novel Claims-Based Classification SystemAndrew B Rosenkrantz, Wenyi Wang, Danny R Hughes, et al.
Journal of Computer Assisted Tomography|May 9, 2024
Accelerated Diffusion-Weighted Magnetic Resonance Imaging of the Liver at 1.5 T With Deep Learning-Based Image Reconstruction: Impact on Image Quality and Lesion DetectionLuke A Ginocchio, Sonam Jaglan, Angela Tong, et al.
Pageof 2