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dr. H.J. (Hugo) Kuijf

Assistant Professor
dr. H.J. (Hugo) Kuijf
  • Image Sciences Institute

Research Programs

Biography

Biography

Hugo Kuijf graduated in Computer Science at Utrecht University in 2009, with academic minors in Software Engineering and Game- and Media Technology. In 2013, he received his PhD in Medical Imaging after defending his thesis entitled "Image processing techniques for quantification and assessment of brain MRI".

His research focuses on innovative image processing and (deep) machine learning techniques for the quantification and assessment of brain MR images. These techniques are applied in the context of brain anatomy and pathology, in particular small vessel disease. Semi-automated techniques for the detection of microbleedsmicroinfarcts, small arteries and veins, perivascular spaces, and white matter hyperintensities are developed; inclusing lesion-symptom mapping solutions. Development and utilization of modern machine learning and deep learning techniques (also known as "artifical intelligence") are a central pillar in the development of new medical image analysis techniques. 

He organized the MICCAI grand challenges on WMH segmentation and brain tissue segmentation (MRBrainS13 and MRBrainS18). He developed freely available software for the detection of the midsagittal plane and suface and lesion-symptom mapping.

Hugo Kuijf is an assistant professor at the Image Sciences Institute, UMC Utrecht; programme coordinator of the MSc programme Medical Imagingmember of the Board of Examiners of the Graduate School of Life Sciences; chair of the Education Committee of the PhD programme Medical Imaging; and university lecturer at Eindhoven University of Technology.

Side Activities

University Lecturer at Eindhoven University of Technology

Member of the Board of Examiners of the Graduate School of Life Sciences

Chair of the Education Committee of the PhD programme Medical Imaging

Programme coordinator of the MSc programme Medical Imaging

Fellowship and Awards

I've received a number of smaller and larger grants, fellowships, and awards for my research.

Research Output (96)

Variational Autoencoders with a Structural Similarity Loss in Time of Flight MRAs

Timmins Kimberley, van der Schaaf Irene, Velthuis BK, Ruigrok Ynte, Kuijf Hugo 15 feb 2021, 11596

Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure

Leiner Tim, Bennink E, Mol Christian, Kuijf Hugo, Veldhuis WB 2 feb 2021, In: Insights Into Imaging [E]. 12 , p. 11

Subvoxel vessel wall thickness measurements of the intracranial arteries using a convolutional neural network

van Hespen Kees M, Zwanenburg Jaco J M, Hendrikse Jeroen, Kuijf Hugo J jan 2021, In: Medical Image Analysis. 67 , p. 1-10

The Effects of Intracranial Stenosis on Cerebral Perfusion and Cognitive Performance

Hilal Saima, Mutsaerts Henri J M M, Ferro Doeschka A, Petr Jan, Kuijf Hugo J, Biessels Geert Jan, Chen Christopher 2021, In: Journal of Alzheimer's Disease. 79 , p. 1369-1380 12 p.

Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification

Jansen Mariëlle, Kuijf Hugo, Dhara Ashis K., Weaver Nick, Biessels Geert Jan, Strand Robin, Pluim JPW 1 nov 2020, In: Journal of Medical Imaging. 7 , p. 1-15

ExploreASL:An image processing pipeline for multi-center ASL perfusion MRI studies

Mutsaerts Henk J M M, Petr Jan, Groot Paul, Vandemaele Pieter, Ingala Silvia, Robertson Andrew D, Václavů Lena, Groote Inge, Kuijf Hugo, Zelaya Fernando, O'Daly Owen, Hilal Saima, Wink Alle Meije, Kant Ilse, Caan Matthan W A, Morgan Catherine, de Bresser Jeroen, Lysvik Elisabeth, Schrantee Anouk, Bjørnebekk Astrid, Clement Patricia, Shirzadi Zahra, Kuijer Joost P A, Wottschel Viktor, Anazodo Udunna C, Pajkrt Dasja, Richard Edo, Bokkers Reinoud P H, Reneman Liesbeth, Masellis Mario, Günther Matthias, MacIntosh Bradley J, Achten Eric, Chappell Michael A, van Osch Matthias J P, Golay Xavier, Thomas David L, De Vita Enrico, Bjørnerud Atle, Nederveen Aart, Hendrikse Jeroen, Asllani Iris, Barkhof Frederik 1 okt 2020, In: NeuroImage. 219 17 p.

Vascular Risk Factors of Hippocampal Subfield Volumes in Persons without Dementia:The Medea 7T Study

Blom Kim, Koek Huiberdina L, Zwartbol Maarten H T, Ghaznawi Rashid, Kuijf Hugo J, Witkamp Theo D, Hendrikse Jeroen, Biessels Geert Jan, Geerlings Mirjam I, 5 sep 2020, In: Journal of Alzheimer's Disease. 77 , p. 1223-1239 17 p.

Contrast leakage distant from the hematoma in patients with spontaneous ICH:A 7 T MRI study

Jolink Wilmar MT, Lindenholz Arjen, van Etten Ellis S, van Nieuwenhuizen Koen M, Schreuder Floris Hbm, Kuijf Hugo J, van Osch Matthias Jp, Hendrikse Jeroen, Rinkel Gabriel Je, Wermer Marieke JH, Klijn Catharina JM 1 mei 2020, In: Journal of Cerebral Blood Flow and Metabolism. 40 , p. 1002-1011 10 p.

High white matter hyperintensity burden in strategic white matter tracts relates to worse global cognitive performance in community-dwelling individuals

Biesbroek J Matthijs, Lam Bonnie Y K, Zhao Lei, Tang Yumi, Wang Zhaolu, Abrigo Jill, Chu Winnie W C, Wong Adrian, Shi Lin, Kuijf Hugo J, Biessels Geert Jan, Mok Vincent C T 13 apr 2020, In: Journal of the Neurological Sciences. 414 , p. 1-6

Microbleeds colocalize with enlarged juxtacortical perivascular spaces in amnestic mild cognitive impairment and early Alzheimer's disease:A 7 Tesla MRI study

Bouvy Willem H, van Veluw Susanne J, Kuijf Hugo J, Zwanenburg Jaco Jm, Kappelle Jaap L, Luijten Peter R, Koek Huiberdina L, Geerlings Mirjam I, Biessels Geert J, 1 apr 2020, In: Journal of Cerebral Blood Flow and Metabolism. 40 , p. 739-746 8 p.

All research output

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