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Frank de Vos

Showing results (1-10 of 17) with videos related to

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Journal of Neuroscience Methods|October 9, 2022
Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypesJeffrey Durieux, Serge A R B Rombouts, Frank de Vos, et al.
Human Brain Mapping|May 18, 2019
A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changesAnna C K van Duijvenvoorde, Bianca Westhoff, Frank de Vos, et al.
Appetite|June 13, 2022
Daily distracted consumption patterns and their relationship with BMIFloor van Meer, Frank de Vos, Roel C J Hermans, et al.
Frontiers in Neuroscience|May 13, 2022
Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease ClassificationWouter van Loon, Frank de Vos, Marjolein Fokkema, et al.
Frontiers in Aging Neuroscience|May 5, 2017
Diminished Posterior Precuneus Connectivity with the Default Mode Network Differentiates Normal Aging from Alzheimer's DiseaseBernadet L Klaassens, Joop M A van Gerven, Jeroen van der Grond, et al.
Neuroimage|November 21, 2017
A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's diseaseFrank de Vos, Marisa Koini, Tijn M Schouten, et al.
Human Brain Mapping|February 27, 2016
Combining multiple anatomical MRI measures improves Alzheimer's disease classificationFrank de Vos, Tijn M Schouten, Anne Hafkemeijer, et al.
Neuroimage|March 20, 2017
Individual classification of Alzheimer's disease with diffusion magnetic resonance imagingTijn M Schouten, Marisa Koini, Frank de Vos, et al.
Neuroimage. Clinical|February 25, 2016
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's diseaseTijn M Schouten, Marisa Koini, Frank de Vos, et al.
Neuroimage. Clinical|March 5, 2019
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRIRogier A Feis, Mark J R J Bouts, Jessica L Panman, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Journal of Neuroscience Methods|October 9, 2022
Clusterwise Independent Component Analysis (C-ICA): Using fMRI resting state networks to cluster subjects and find neurofunctional subtypesJeffrey Durieux, Serge A R B Rombouts, Frank de Vos, et al.
Human Brain Mapping|May 18, 2019
A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changesAnna C K van Duijvenvoorde, Bianca Westhoff, Frank de Vos, et al.
Appetite|June 13, 2022
Daily distracted consumption patterns and their relationship with BMIFloor van Meer, Frank de Vos, Roel C J Hermans, et al.
Frontiers in Neuroscience|May 13, 2022
Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease ClassificationWouter van Loon, Frank de Vos, Marjolein Fokkema, et al.
Frontiers in Aging Neuroscience|May 5, 2017
Diminished Posterior Precuneus Connectivity with the Default Mode Network Differentiates Normal Aging from Alzheimer's DiseaseBernadet L Klaassens, Joop M A van Gerven, Jeroen van der Grond, et al.
Neuroimage|November 21, 2017
A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's diseaseFrank de Vos, Marisa Koini, Tijn M Schouten, et al.
Human Brain Mapping|February 27, 2016
Combining multiple anatomical MRI measures improves Alzheimer's disease classificationFrank de Vos, Tijn M Schouten, Anne Hafkemeijer, et al.
Neuroimage|March 20, 2017
Individual classification of Alzheimer's disease with diffusion magnetic resonance imagingTijn M Schouten, Marisa Koini, Frank de Vos, et al.
Neuroimage. Clinical|February 25, 2016
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's diseaseTijn M Schouten, Marisa Koini, Frank de Vos, et al.
Neuroimage. Clinical|March 5, 2019
Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRIRogier A Feis, Mark J R J Bouts, Jessica L Panman, et al.
Pageof 2