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

Fabian Isensee

Showing results (11-20 of 51) with videos related to

Pageof 6
Sort By:
European Radiology|January 5, 2020
Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosisGianluca Brugnara, Fabian Isensee, Ulf Neuberger, et al.
Human Brain Mapping|August 13, 2019
Automated brain extraction of multisequence MRI using artificial neural networksFabian Isensee, Marianne Schell, Irada Pflueger, et al.
Investigative Radiology|July 2, 2019
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility StudyJens Kleesiek, Jan Nikolas Morshuis, Fabian Isensee, et al.
International Journal of Computer Assisted Radiology and Surgery|August 9, 2019
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparisonSarina Thomas, Fabian Isensee, Simon Kohl, et al.
BJU International|February 12, 2024
Fully Automated Versions of Clinically Validated Nephrometry Scores Demonstrate Superior Predictive Utility versus Human ScoresAndrew M Wood, Nour Abdallah, Nicholas Heller, et al.
Neuro-Oncology Advances|September 15, 2022
Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networksIrada Pflüger, Tassilo Wald, Fabian Isensee, et al.
International Journal of Computer Assisted Radiology and Surgery|April 29, 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learningTobias Ross, David Zimmerer, Anant Vemuri, et al.
Medical Image Analysis|September 6, 2023
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimagingSophie Ostmeier, Brian Axelrod, Fabian Isensee, et al.
Frontiers in Oncology|June 19, 2026
Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scansAnna Hinterberger, Jonas Bohn, Darya Trofimova, et al.
Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Pageof 6

Showing results (11-20 of 51) with videos related to

Sort By:
Pageof 6
European Radiology|January 5, 2020
Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosisGianluca Brugnara, Fabian Isensee, Ulf Neuberger, et al.
Human Brain Mapping|August 13, 2019
Automated brain extraction of multisequence MRI using artificial neural networksFabian Isensee, Marianne Schell, Irada Pflueger, et al.
Investigative Radiology|July 2, 2019
Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility StudyJens Kleesiek, Jan Nikolas Morshuis, Fabian Isensee, et al.
International Journal of Computer Assisted Radiology and Surgery|August 9, 2019
Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparisonSarina Thomas, Fabian Isensee, Simon Kohl, et al.
BJU International|February 12, 2024
Fully Automated Versions of Clinically Validated Nephrometry Scores Demonstrate Superior Predictive Utility versus Human ScoresAndrew M Wood, Nour Abdallah, Nicholas Heller, et al.
Neuro-Oncology Advances|September 15, 2022
Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networksIrada Pflüger, Tassilo Wald, Fabian Isensee, et al.
International Journal of Computer Assisted Radiology and Surgery|April 29, 2018
Exploiting the potential of unlabeled endoscopic video data with self-supervised learningTobias Ross, David Zimmerer, Anant Vemuri, et al.
Medical Image Analysis|September 6, 2023
USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimagingSophie Ostmeier, Brian Axelrod, Fabian Isensee, et al.
Frontiers in Oncology|June 19, 2026
Gut decisions based on the liver: prediction of colorectal neoplasia using AI-based liver analysis of routine CT scansAnna Hinterberger, Jonas Bohn, Darya Trofimova, et al.
Scientific Reports|November 13, 2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancerBalint Kovacs, Nils Netzer, Michael Baumgartner, et al.
Pageof 6