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

Felix Knispel

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Studies in Health Technology and Informatics|September 8, 2022
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality DetectionFelix Knispel, Alexander Brenner, Rainer Röhrig, et al.
Computer Methods and Programs in Biomedicine|October 12, 2024
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalographyAlexander Brenner, Felix Knispel, Florian P Fischer, et al.
Medical Image Analysis|May 26, 2026
MRIgRT real-time target tracking: TrackRAD2025 challenge reportTom Julius Blöcker, Pia A W Görts, Yiling Wang, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Studies in Health Technology and Informatics|September 8, 2022
Consistency of Feature Importance Algorithms for Interpretable EEG Abnormality DetectionFelix Knispel, Alexander Brenner, Rainer Röhrig, et al.
Computer Methods and Programs in Biomedicine|October 12, 2024
Concept-based AI interpretability in physiological time-series data: Example of abnormality detection in electroencephalographyAlexander Brenner, Felix Knispel, Florian P Fischer, et al.
Medical Image Analysis|May 26, 2026
MRIgRT real-time target tracking: TrackRAD2025 challenge reportTom Julius Blöcker, Pia A W Görts, Yiling Wang, et al.
Pageof 1