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

Andreas Fieselmann

Showing results (11-20 of 14) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 14 results.
Journal of Medical Imaging (Bellingham, Wash.)|March 16, 2018
Initial evaluation of image performance of a 3-D x-ray system: phantom-based comparison of 3-D tomography with conventional computed tomographyRobyn Melanie Benz, Meritxell Alzamora Garcia, Felix Amsler, et al.
European Radiology|March 28, 2021
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm trainingJohannes Rueckel, Christian Huemmer, Andreas Fieselmann, et al.
Investigative Radiology|August 5, 2021
Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology CoverageJan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
JAMA Network Open|December 29, 2021
An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter StudyFatemeh Homayounieh, Subba Digumarthy, Shadi Ebrahimian, et al.
Pageof 2

Showing results (11-20 of 14) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 14 results.
Journal of Medical Imaging (Bellingham, Wash.)|March 16, 2018
Initial evaluation of image performance of a 3-D x-ray system: phantom-based comparison of 3-D tomography with conventional computed tomographyRobyn Melanie Benz, Meritxell Alzamora Garcia, Felix Amsler, et al.
European Radiology|March 28, 2021
Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm trainingJohannes Rueckel, Christian Huemmer, Andreas Fieselmann, et al.
Investigative Radiology|August 5, 2021
Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology CoverageJan Rudolph, Christian Huemmer, Florin-Cristian Ghesu, et al.
JAMA Network Open|December 29, 2021
An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter StudyFatemeh Homayounieh, Subba Digumarthy, Shadi Ebrahimian, et al.
Pageof 2