Research output per year
Research output per year
Personal profile
Research interests
My group is the Structural Brain Imaging Group, which is embedded in the Department of Radiology and Nuclear Medicine of Amsterdam UMC.
The research of my group focuses on development, validation and application of MRI-based methods to quantify structural brain changes. The main disease focus is on multiple sclerosis and dementia. The main research lines address how to reliably measure structural brain changes in the presence of pathological changes; standardizing measurements across scanners and acquisition protocols; and understanding how different aspects of pathology in MS are related.
I have received research grants, speaker honoraria and consulting fees from Pfizer, Novartis, MerckSerono, and Teva; all funds paid directly to my institution.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multiple Sclerosis-Specific Reference Curves for Brain Volumes to Explain Disease Severity
van Nederpelt, D. R., Bos, L., Mattiesing, R. M., Strijbis, E. M. M., Moraal, B., Kuijer, J., Hoogland, J., Mutsaerts, H. J. M. M., Uitdehaag, B., Killestein, J., Heine, L., Jasperse, B., Barkhof, F., Schoonheim, M. M. & Vrenken, H., 23 Apr 2025, In: Neurology. 104, 10, p. e213618 e213618.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile46 Downloads (Pure) -
Optimization of cervical cord atrophy measurement using a real-world, multicentre dataset in multiple sclerosis
MAGNIMS study group. & Vrenken, H., 2025, In: Frontiers in neurology. 16, 1657484.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile27 Downloads (Pure) -
Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence
MAGNIMS Study Group, 23 Nov 2021, In: Neurology. 97, 21, p. 989-999 11 p.Research output: Contribution to journal › Review article › Academic › peer-review
Open AccessFile12 Downloads (Pure) -
Reduced accuracy of MRI deep grey matter segmentation in multiple sclerosis: an evaluation of four automated methods against manual reference segmentations in a multi-center cohort
The MAGNIMS Study Group, 1 Dec 2020, In: Journal of neurology. 267, 12, p. 3541-3554 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile25 Downloads (Pure) -
Novel imaging phantom for accurate and robust measurement of brain atrophy rates using clinical MRI
Amiri, H., Brouwer, I., Kuijer, J. P. A., de Munck, J. C., Barkhof, F. & Vrenken, H., 1 Jan 2019, In: NeuroImage: Clinical. 21, 101667.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
Activities
- 1 organising
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Translational Neuroscience Network (TN2)
Schoonheim, M. (Organiser), Hoozemans, J. (Organiser), Wilhelmus, M. (Organiser), Brouwer, M. C. (Organiser), Vrenken, H. (Organiser) & Brussaard, A. (Organiser)
20 Nov 2020Activity: Participating in or organising an event › organising
Datasets
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Accurate multiple sclerosis atrophy measurement system
van Nederpelt, D. R. (contactPerson), Vrenken, H. (Contributor), Strijbis, E. M. M. (Contributor), Barkhof, F. (Contributor) & Kuijer, J. P. A. (Contributor), DataverseNL, 24 Sept 2024
DOI: 10.34894/DNQT2S, https://doi.org/10.34894/DNQT2S
Dataset