Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

David J Winkel

Showing results (1-10 of 23) with videos related to

Pageof 3
Sort By:
Journal of Digital Imaging|January 20, 2021
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric AnalysesDavid J Winkel, Hanns-Christian Breit, Thomas J Weikert, et al.
Investigative Radiology|September 11, 2018
Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT ExaminationsDavid J Winkel, Tobias Heye, Thomas J Weikert, et al.
AJR. American Journal of Roentgenology|January 16, 2020
Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error RatesDavid J Winkel, Philipp Brantner, Jonas Lutz, et al.
Radiology Case Reports|December 12, 2022
Multimodality imaging and 3D-printing of a thoraco-abdominal aortic aneurysm eroding into the spineDavid J Winkel, Edin Mujagic, Daniel Staub, et al.
European Radiology|April 25, 2020
High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approachDavid J Winkel, Hanns-Christian Breit, Tobias K Block, et al.
European Radiology|July 5, 2020
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithmThomas Weikert, David J Winkel, Jens Bremerich, et al.
Radiology. Cardiothoracic Imaging|May 28, 2026
Fully Automated Quantification of Functional Small Airway Disease at Inspiratory and Expiratory Chest CT Using Deep LearningStefan Gherca, Shan Yang, Jens Bremerich, et al.
International Journal of Clinical Practice|June 29, 2023
Emergency Presentations for Dizziness-Radiological Findings, Final Diagnoses, and MortalityJeannette-Marie Busch, Isabelle Arnold, Julia Karakoumis, et al.
Abdominal Radiology (New York)|February 2, 2023
Estimation of differential renal function on routine abdominal imaging employing compressed-sensed contrast-enhanced MR: a feasibility study referenced against dynamic renal scintigraphy in patients with deteriorating renal retention parametersVictor Schulze-Zachau, David J Winkel, Felix Kaul, et al.
Journal of Clinical Medicine|May 13, 2023
Hypertensive Heart Disease-The Imaging PerspectiveTevfik F Ismail, Simon Frey, Beat A Kaufmann, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Journal of Digital Imaging|January 20, 2021
Building Large-Scale Quantitative Imaging Databases with Multi-Scale Deep Reinforcement Learning: Initial Experience with Whole-Body Organ Volumetric AnalysesDavid J Winkel, Hanns-Christian Breit, Thomas J Weikert, et al.
Investigative Radiology|September 11, 2018
Evaluation of an AI-Based Detection Software for Acute Findings in Abdominal Computed Tomography Scans: Toward an Automated Work List Prioritization of Routine CT ExaminationsDavid J Winkel, Tobias Heye, Thomas J Weikert, et al.
AJR. American Journal of Roentgenology|January 16, 2020
Gamification of Electronic Learning in Radiology Education to Improve Diagnostic Confidence and Reduce Error RatesDavid J Winkel, Philipp Brantner, Jonas Lutz, et al.
Radiology Case Reports|December 12, 2022
Multimodality imaging and 3D-printing of a thoraco-abdominal aortic aneurysm eroding into the spineDavid J Winkel, Edin Mujagic, Daniel Staub, et al.
European Radiology|April 25, 2020
High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approachDavid J Winkel, Hanns-Christian Breit, Tobias K Block, et al.
European Radiology|July 5, 2020
Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithmThomas Weikert, David J Winkel, Jens Bremerich, et al.
Radiology. Cardiothoracic Imaging|May 28, 2026
Fully Automated Quantification of Functional Small Airway Disease at Inspiratory and Expiratory Chest CT Using Deep LearningStefan Gherca, Shan Yang, Jens Bremerich, et al.
International Journal of Clinical Practice|June 29, 2023
Emergency Presentations for Dizziness-Radiological Findings, Final Diagnoses, and MortalityJeannette-Marie Busch, Isabelle Arnold, Julia Karakoumis, et al.
Abdominal Radiology (New York)|February 2, 2023
Estimation of differential renal function on routine abdominal imaging employing compressed-sensed contrast-enhanced MR: a feasibility study referenced against dynamic renal scintigraphy in patients with deteriorating renal retention parametersVictor Schulze-Zachau, David J Winkel, Felix Kaul, et al.
Journal of Clinical Medicine|May 13, 2023
Hypertensive Heart Disease-The Imaging PerspectiveTevfik F Ismail, Simon Frey, Beat A Kaufmann, et al.
Pageof 3