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

Žiga Špiclin

Showing results (1-10 of 26) with videos related to

Pageof 3
Sort By:
Neuroimage|December 8, 2023
BASE: Brain Age Standardized EvaluationLara Dular, Žiga Špiclin,
Biomedicines|November 25, 2023
A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT AngiographyŽiga Bizjak, Žiga Špiclin
Scientific Reports|August 23, 2024
Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysisŽiga Bizjak, Žiga Špiclin
Statistical Methods in Medical Research|February 1, 2018
Reference-free error estimation for multiple measurement methodsHennadii Madan, Franjo Pernuš, Žiga Špiclin
Biorxiv : the Preprint Server for Biology|May 22, 2023
Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction ModelsLara Dular, Franjo Pernuš, Žiga Špiclin
Frontiers in Physiology|July 19, 2021
Deep Shape Features for Predicting Future Intracranial Aneurysm GrowthŽiga Bizjak, Franjo Pernuš, Žiga Špiclin
Computers in Biology and Medicine|March 26, 2024
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, et al.
IEEE Transactions on Medical Imaging|May 8, 2013
3D-2D registration of cerebral angiograms: a method and evaluation on clinical imagesUroš Mitrovic, Žiga Špiclin, Boštjan Likar, et al.
Proceedings of Machine Learning Research|April 20, 2023
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial contextJannik Sobisch, Žiga Bizjak, Aichi Chien, et al.
Medical Physics|November 2, 2015
Simultaneous 3D-2D image registration and C-arm calibration: Application to endovascular image-guided interventionsUroš Mitrović, Franjo Pernuš, Boštjan Likar, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Neuroimage|December 8, 2023
BASE: Brain Age Standardized EvaluationLara Dular, Žiga Špiclin,
Biomedicines|November 25, 2023
A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT AngiographyŽiga Bizjak, Žiga Špiclin
Scientific Reports|August 23, 2024
Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysisŽiga Bizjak, Žiga Špiclin
Statistical Methods in Medical Research|February 1, 2018
Reference-free error estimation for multiple measurement methodsHennadii Madan, Franjo Pernuš, Žiga Špiclin
Biorxiv : the Preprint Server for Biology|May 22, 2023
Extensive T1-weighted MRI Preprocessing Improves Generalizability of Deep Brain Age Prediction ModelsLara Dular, Franjo Pernuš, Žiga Špiclin
Frontiers in Physiology|July 19, 2021
Deep Shape Features for Predicting Future Intracranial Aneurysm GrowthŽiga Bizjak, Franjo Pernuš, Žiga Špiclin
Computers in Biology and Medicine|March 26, 2024
Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction modelsLara Dular, Franjo Pernuš, Žiga Špiclin, et al.
IEEE Transactions on Medical Imaging|May 8, 2013
3D-2D registration of cerebral angiograms: a method and evaluation on clinical imagesUroš Mitrovic, Žiga Špiclin, Boštjan Likar, et al.
Proceedings of Machine Learning Research|April 20, 2023
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial contextJannik Sobisch, Žiga Bizjak, Aichi Chien, et al.
Medical Physics|November 2, 2015
Simultaneous 3D-2D image registration and C-arm calibration: Application to endovascular image-guided interventionsUroš Mitrović, Franjo Pernuš, Boštjan Likar, et al.
Pageof 3