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

Matthias Wilms

Showing results (21-30 of 71) with videos related to

Pageof 8
Sort By:
Human Brain Mapping|February 9, 2022
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regionsPauline Mouches, Matthias Wilms, Deepthi Rajashekar, et al.
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
International Journal of Computer Assisted Radiology and Surgery|February 7, 2022
A systematic comparison of generative models for medical imagesHristina Uzunova, Matthias Wilms, Nils D Forkert, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 1, 2022
Fairness-related performance and explainability effects in deep learning models for brain image analysisEmma A M Stanley, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Neurology|January 2, 2023
Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factorsPauline Mouches, Matthias Wilms, Agampreet Aulakh, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Assessment of demographic bias in retinal age prediction machine learning modelsChristopher Nielsen, Emma A M Stanley, Matthias Wilms, et al.
Journal of Attention Disorders|March 28, 2026
The Relationship Between Inhibitory Control of Attention and fMRI Functional Connectivity in Children With and Without ADHDKelsey Harkness, Matthias Wilms, Kate J Godfrey, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2022
An analysis of the effects of limited training data in distributed learning scenarios for brain age predictionRaissa Souza, Pauline Mouches, Matthias Wilms, et al.
Journal of Biomedical Informatics|December 14, 2023
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomesKimberly Amador, Alejandro Gutierrez, Anthony Winder, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 27, 2024
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic strokeAlejandro Gutierrez, Kimberly Amador, Anthony Winder, et al.
Pageof 8

Showing results (21-30 of 71) with videos related to

Sort By:
Pageof 8
Human Brain Mapping|February 9, 2022
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regionsPauline Mouches, Matthias Wilms, Deepthi Rajashekar, et al.
Ebiomedicine|December 13, 2024
Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic dataEmma A M Stanley, Raissa Souza, Matthias Wilms, et al.
International Journal of Computer Assisted Radiology and Surgery|February 7, 2022
A systematic comparison of generative models for medical imagesHristina Uzunova, Matthias Wilms, Nils D Forkert, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 1, 2022
Fairness-related performance and explainability effects in deep learning models for brain image analysisEmma A M Stanley, Matthias Wilms, Pauline Mouches, et al.
Frontiers in Neurology|January 2, 2023
Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factorsPauline Mouches, Matthias Wilms, Agampreet Aulakh, et al.
Frontiers in Artificial Intelligence|October 27, 2025
Assessment of demographic bias in retinal age prediction machine learning modelsChristopher Nielsen, Emma A M Stanley, Matthias Wilms, et al.
Journal of Attention Disorders|March 28, 2026
The Relationship Between Inhibitory Control of Attention and fMRI Functional Connectivity in Children With and Without ADHDKelsey Harkness, Matthias Wilms, Kate J Godfrey, et al.
Journal of the American Medical Informatics Association : JAMIA|October 26, 2022
An analysis of the effects of limited training data in distributed learning scenarios for brain age predictionRaissa Souza, Pauline Mouches, Matthias Wilms, et al.
Journal of Biomedical Informatics|December 14, 2023
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomesKimberly Amador, Alejandro Gutierrez, Anthony Winder, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 27, 2024
Annotation-free prediction of treatment-specific tissue outcome from 4D CT perfusion imaging in acute ischemic strokeAlejandro Gutierrez, Kimberly Amador, Anthony Winder, et al.
Pageof 8