Frank de Vos
Assistant professor
- Name
- F. de Vos MSc
- Telephone
- +31 71 527 6012
- f.de.vos@fsw.leidenuniv.nl
- ORCID iD
- 0000-0002-0412-6458
Frank de Vos received his Msc in Neuroimaging Methods at the University of Amsterdam in 2012. His research interests are statistical methods for neuroimaging and psychological methods in general. His current project concerns statistical methods for longitudinal fMRI data. Frank is an assistant in the research master course ‘Applied Multivariate Data Analysis’.
Supervisor: Prof.dr. Serge Rombouts.
Assistant professor
- Faculteit der Sociale Wetenschappen
- Instituut Psychologie
- Methodologie & Statistiek
- Meer A.F. van, Vos F. de, Hermans R.C.J., Peeters P.A. & Dillen L.F. van (2022), Daily distracted consumption patterns and their relationship with BMI, Appetite 176: 106136.
- Loon W.S. van, Vos F. de, Fokkema M., Szabo B.T., Koini M., Schmidt R. & Rooij M.J. de (2022), Analyzing hierarchical multi-view MRI Data With StaPLR An Application to Alzheimer's disease classification: an application to Alzheimer's disease classification, Frontiers in Neuroscience 16: 1-36 (830630).
- Vos F. de (9 December 2021), Multimodal MRI-based classification of Alzheimer’s disease (PhD thesis, Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University). Supervisor(s) and Co-supervisor(s): Rombouts S.A.R.B. & Rooij M.J. de, Grond J. van der.
- Bouts M.J.R.J., Van der Grond J., Vernooij M.W., Koini M., Schouten T.M., De Vos F., Feis R.A., Cremers L.G.M., Lechner A., Schmidt R., De Rooij M., Niessen W.J., Ikram M.A. & Rombouts S.A.R.B. (2019), Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification, Human Brain Mapping 40(9): 2711-2722.
- Schouten T.M., De Vos F., Van Rooden S., Bouts M.J.R.J., Van Opstal A.M., Feis R.A., Terwindt G.M., Wermer M.J.H., Van Buchem M.A., Greenberg S.M., De Rooij M., Rombouts S.A.R.B. & Van der Grond J. (2019), Multiple Approaches to Diffusion Magnetic Resonance Imaging in Hereditary Cerebral Amyloid Angiopathy Mutation Carriers, Journal of the American Heart Association 8(3): e011288.
- Duijvenvoorde A.C.K. van, Westhoff B., Vos F. de, Wierenga L.M. & Crone E.A. (2019), A three-wave longitudinal study of subcortical-cortical resting-state connectivity in adolescence: Testing age- and puberty-related changes, Human Brain Mapping 40(13): 3769-3783.
- Feis R.A., Bouts M.J.R.J., De Vos F., Schouten T.M., Panman J.L., Jiskoot L.C., Dopper E.G.P., Van der Grond J., Van Swieten J.C. & Rombouts S.A.R.B. (2019), A multimodal MRI-based classification signature emerges just prior to symptom onset in frontotemporal dementia mutation carriers, Journal of Neurology, Neurosurgery and Psychiatry 90: 1207-1214.
- De Vos F., Koini M., Schouten T.M., Seiler S., Van der Grond J., Lechner A., Schmidt R., De Rooij M.J. & Rombouts S.A.R.B. (2018), A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease, NeuroImage 167: 62-72.
- Bouts M.J.R.J., Möller C., Hafkemeijer A., Swieten J.C. van, Dopper E., Flier W.M. van der, Vrenken H., Wink A.M., Pijnenburg Y.A.L., Scheltens P., Barkhof F., Schouten T.M., Vos F. de, Feis R.A., Grond J. van der, Rombouts S.A.R.B. & Rooij M. de (2018), Single Subject Classification of Alzheimer's Disease and Behavioral Variant Frontotemporal Dementia Using Anatomical, Diffusion Tensor, and Resting-State Functional Magnetic Resonance Imaging, Journal of Alzheimer's Disease 62(4): 1827-1839.
- Feis R.A., Bouts M.J.R.J., Panman J.L., Jiskoot L.C., Dopper E.G.P., Schouten T.M., De Vos F., Van der Grond J., Van Swieten J.C. & Rombouts S.A.R.B. (2018), Single-subject classification of presymptomatic frontotemporal dementia mutation carriers using multimodal MRI, NeuroImage: Clinical 20: 188-196.
- Schouten T.M., Koini M., De Vos F., Seiler S., De Rooij M.J., Lechner A., Schmidt R., Van den Heuvel M., Van der Grond J. & Rombouts S.A.R.B. (2017), Individual Classification of Alzheimer's Disease with Diffusion Magnetic Resonance Imaging, NeuroImage 152: 476-481.
- Klaassens B.L., Van Gerven J.M.A., Van der Grond J., De Vos F., Moller C. & Rombouts S.A.R.B. (2017), Diminished Posterior Precuneus Connectivity with the Default Mode Network Differentiates Normal Aging from Alzheimer's Disease, Frontiers in Aging Neuroscience 9: e97.
- Vos F. de, Schouten T.M., Hafkemeijer A., Dopper E.G., Swieten J.C. van, Rooij M. de, Grond J. van der & Rombouts S.A. (2016), Combining multiple anatomical MRI measures improves Alzheimer's disease classification, Human Brain Mapping 37(5): 1920-1929.
- Schouten T.M., Koini M., De Vos F., Seiler S., Van der Grond J., Lechner A., Hafkemeijer A., Möller C., Schmidt R., De Rooij M. & Rombouts S.A.R.B. (2016), Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease, NeuroImage: Clinical 11: 46-51.