Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
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.
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.
Neuroimage|October 12, 2020
Detecting brain network communities: Considering the role of information flow and its different temporal scalesLazaro M Sanchez-Rodriguez, Yasser Iturria-Medina, Pauline Mouches, et al.
Scientific Reports|June 11, 2021
Influence of cardiovascular risk-factors on morphological changes of cerebral arteries in healthy adults across the life spanPauline Mouches, Sönke Langner, Martin Domin, 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.
Frontiers in Aging Neuroscience|September 8, 2022
An exploratory causal analysis of the relationships between the brain age gap and cardiovascular risk factorsPauline Mouches, Matthias Wilms, Jordan J Bannister, et al.
Neuroinformatics|September 9, 2022
Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual SystemJasmine A Moore, Anup Tuladhar, Zahinoor Ismail, et al.
Brain Structure & Function|May 30, 2026
Automated interictal epileptic spike detection from simple and noisy annotations in MEG dataPauline Mouches, Julien Jung, Armand Demasson, et al.
Pageof 3