Projects per year
Personal profile
Research interests
Frederik Barkhof received his MD from VU University, Amsterdam (NL) in 1988 and defended his PhD thesis in 1992, for which he received the Philips Prize for Radiology (1992) and the Lucien Appel Prize for Neuroradiology (1994). Since 2001 he serves as a full Professor in Neuroradiology at the department of Radiology & Nuclear Medicine at VUmc. In 2015 he was appointed as full Professor of Neuroradiology at institutes of Biomedical Engineering and Neurology at UCL in London (UK) to translate novel imaging techniques. In 2018 he received the John Dystel prize by the US National MS Society and the American Academy of Neurology outstanding contributions to research in MS. In 2019, he became a senior fellow of the ISMRM
Prof. Barkhof was the chairman of the Dutch Society of Neuroradiology and the MAGNIMS study group for many years. He is leading the Queen Square MS Centre Trial Unit, involved in analysis of multicentre drug trials. He serves on the Editorial boards of Radiology, Brain, Multiple Sclerosis Journal, Neuroradiology and Neurology. He is a fellow of the Royal College of Radiology.
His research interests focus on childhood white matter disease, multiple sclerosis, ageing and dementia. He (co)authored >1100 papers referenced in PubMed, has an H-factor of 164 (Google Scholar) with >110,000 citations and is listed among 3000 most influential scientists world-wide by Thompson-Reuters. He is the author of the books “Neuroimaging in Dementia”, “Clinical applications of functional brain MRI” and “Clinical Neuroradiology – the ESNR textbook”
Cumulatively, he has received >30 million euro grant money from various national and international funding agencies and performed contract research for all major pharmaceutical companies with cumulative contract value of >15 million euro. More than 40 PhD students graduated under his supervision and 5 of them have subsequently attained a full professorship
External positions
Professor of Neuroradiology, UCL Institute of Neurology
1 Oct 2014 → …
Collaborations and top research areas from the last five years
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GLIOCARE
Keil, V., Wamelink, I., Azizova, A., Barkhof, F., Mutsaerts, H., Petr, J., de Witt Hamer, P., Wesseling, P. & Kouwenhoven, M.
1/04/2022 → …
Project: Research
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IMAGO - Imaging in Glioma
Keil, V., Wamelink, I., Barkhof, F. & Verburg, N.
1/07/2021 → …
Project: Research
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SANE-QC: Standardization and Automation of Neuroimaging Curation & Quality Control
Mutsaerts, H., Hendriks, J., Barkhof, F., Vrenken, H., Petr, J., Schrantee, A., Kuijer, J., Wink, A. M., Schoonheim, M., Tijms, B., de Witt Hamer, P., Groot, P., Nederveen, A., de Sitter, A., Caan, M. W. A., Rodrigues, P., Woltz, R., Joules, R. & Pena, O.
Project: Research
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CVAge: Cerebrovascular Brain-age
Mutsaerts, H., Petr, J., Dijsselhof, M., Barkhof, F., Achten, E., Hilal, S., Cole, J., Westlye, L., Moore, C. & Bodor, D.
Project: Research
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DEBBIE: Developing a non-invasive biomarker for early BBB breakdown in Alzheimer’s disease
Mutsaerts, H., Petr, J., Barkhof, F., Esteves Padrela, B., Günther, M., Lawson, U. A., Achten, R. & Fladby, T.
Project: Research
Research output
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Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, M., Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14349 LNCS. p. 325-334 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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A Coupled-Mechanisms Modelling Framework for Neurodegeneration
He, T., Thompson, E., Schroder, A., Oxtoby, N. P., Abdulaal, A., Barkhof, F. & Alexander, D. C., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14227 LNCS. p. 459-469 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Advanced MR Techniques for Preoperative Glioma Characterization: Part 1
Hirschler, L., Sollmann, N., Schmitz-Abecassis, B. R., Pinto, J., Arzanforoosh, F., Barkhof, F., Booth, T., Calvo-Imirizaldu, M., Cassia, G., Chmelik, M., Clement, P., Ercan, E., Fernández-Seara, M. A., Furtner, J., Fuster-Garcia, E., Grech-Sollars, M., Guven, N. T., Hatay, G. H., Karami, G., Keil, V. C., & 21 others , Jun 2023, In: Journal of magnetic resonance imaging. 57, 6, p. 1655-1675 21 p.Research output: Contribution to journal › Review article › Academic › peer-review
Open Access5 Citations (Scopus) -
Advanced MR Techniques for Preoperative Glioma Characterization: Part 2
Hangel, G., Schmitz-Abecassis, B. R., Sollmann, N., Pinto, J., Arzanforoosh, F., Barkhof, F., Booth, T., Calvo-Imirizaldu, M., Cassia, G., Chmelik, M., Clement, P., Ercan, E., Fernández-Seara, M. A., Furtner, J., Fuster-Garcia, E., Grech-Sollars, M., Guven, N. T., Hatay, G. H., Karami, G., Keil, V. C., & 21 others , Jun 2023, In: Journal of magnetic resonance imaging. 57, 6, p. 1676-1695 20 p.Research output: Contribution to journal › Review article › Academic › peer-review
Open Access3 Citations (Scopus) -
Amide proton transfer-weighted imaging of pediatric brainstem glioma and its predicted value for H3 K27 alteration
Cheng, D., Zhuo, Z., Zhang, P., Qu, L., Duan, Y., Xu, X., Xie, C., Liu, X., Haller, S., Barkhof, F., Zhang, L. & Liu, Y., 2023, (E-pub ahead of print) In: Acta radiologica (Stockholm, Sweden.Research output: Contribution to journal › Article › Academic › peer-review