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

Jakub Nalepa

Showing results (21-30 of 27) with videos related to

Pageof 3
Sort By:
You have reached the last page of results.This site can display upto 27 results.
Computers in Biology and Medicine|February 4, 2023
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patientsJakub Nalepa, Krzysztof Kotowski, Bartosz Machura, et al.
Current Problems in Cardiology|March 15, 2023
Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart ProjectKatarzyna Nabrdalik, Hanna Kwiendacz, Karolina Drożdż, et al.
Cardiovascular Diabetology|August 24, 2023
Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart ProjectHanna Kwiendacz, Agata M Wijata, Jakub Nalepa, et al.
NPJ Digital Medicine|November 6, 2025
Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approachArkadiusz Czerwinski, Damian Kucharski, Agata M Wijata, et al.
Artificial Intelligence in Medicine|January 26, 2020
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumorsJakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, et al.
Thrombosis and Haemostasis|March 13, 2026
Air, Noise, and Light Pollution and Thromboembolic Cardiovascular Complications: A TH Scientific StatementAnna Kurasz, Shady Abohashem, Wahbi K El-Bouri, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 3

Showing results (21-30 of 27) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 27 results.
Computers in Biology and Medicine|February 4, 2023
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patientsJakub Nalepa, Krzysztof Kotowski, Bartosz Machura, et al.
Current Problems in Cardiology|March 15, 2023
Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart ProjectKatarzyna Nabrdalik, Hanna Kwiendacz, Karolina Drożdż, et al.
Cardiovascular Diabetology|August 24, 2023
Machine learning profiles of cardiovascular risk in patients with diabetes mellitus: the Silesia Diabetes-Heart ProjectHanna Kwiendacz, Agata M Wijata, Jakub Nalepa, et al.
NPJ Digital Medicine|November 6, 2025
Interpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approachArkadiusz Czerwinski, Damian Kucharski, Agata M Wijata, et al.
Artificial Intelligence in Medicine|January 26, 2020
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumorsJakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, et al.
Thrombosis and Haemostasis|March 13, 2026
Air, Noise, and Light Pollution and Thromboembolic Cardiovascular Complications: A TH Scientific StatementAnna Kurasz, Shady Abohashem, Wahbi K El-Bouri, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
Pageof 3