Author

F. Barkhof

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Approach:benchmark study· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. Atri· 1 shared A. L. Young· 1 shared A. Lammertsma· 1 shared A. Rozemuller· 1 shared C. H. Adler· 1 shared C. M. Belden· 1 shared C. Tremblay· 1 shared E. D. Driver-Dunckley· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. Atri

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Disease progression modelling reveals heterogeneity in trajectories of Lewy-type alpha-synuclein pathology

S. E. Mastenbroek, J. W. Vogel, L. E. Collij, G. E. Serrano, C. Tremblay, A. L. Young, R. A. Arce, H. A. Shill, E. D. Driver-Dunckley, S. H. Mehta, C. M. Belden, A. Atri, P. Choudhury, F. Barkhof, C. H. Adler, , O. Hansson

The paper models disease progression in Lewy body disorders using neuropathological data, identifying three distinct trajectories of alpha-synuclein pathology with different clinical associations.

bioRxiv · Dec 5, 2023Pathology

MRI-based computational model generation for cerebral perfusion simulations in health and ischaemic stroke

T. I. Jozsa, J. Petr, F. Barkhof, S. J. Payne, H. J. Mutsaerts

This paper develops a computational framework to generate cerebral perfusion models using MRI data for simulating cerebral blood flow in healthy and ischaemic stroke scenarios, showing strong correlations with anatomical and haemodynamic measurements.

bioRxiv · Sep 7, 2022 · PreprintBioengineering

DNA methylation classification in diffuse glioma shows little spatial heterogeneity after adjusting for tumor purity

N. Verburg, F. P. Barthel, K. J. Anderson, K. C. Johnson, M. Koopman, M. Yaqub, O. Hoekstra, A. Lammertsma, F. Barkhof, P. Pouwels, J. C. Reijneveld, A. Rozemuller, R. Boellaard, M. D. Taylor, S. Das, , R. G. Verhaak

This study shows DNA methylation subtypes in diffuse gliomas are spatially consistent after adjusting for tumor purity, indicating inherent cellular heterogeneity rather than tumor-specific variation.

bioRxiv · Mar 28, 2020 · PreprintCancer Biology