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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 (103)

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

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

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge

Timmins Kimberley, van der Schaaf Irene, Bennink E, Ruigrok Ynte, Velthuis BK, Kuijf Hugo sep 2021, In: NeuroImage. 238 21 p.

Strategic infarct locations for post-stroke cognitive impairment:a pooled analysis of individual patient data from 12 acute ischaemic stroke cohorts

Weaver Nick A., Kuijf Hugo J., Aben Hugo P., Abrigo Jill, Bae Hee Joon, Barbay Mélanie, Best Jonathan G., Bordet Régis, Chappell Francesca M., Chen Christopher P.L.H., Dondaine Thibaut, van der Giessen Ruben S., Godefroy Olivier, Gyanwali Bibek, Hamilton Olivia K.L., Hilal Saima, Huenges Wajer Irene M.C., Kang Yeonwook, Kappelle L. Jaap, Kim Beom Joon, Köhler Sebastian, de Kort Paul L.M., Koudstaal Peter J., Kuchcinski Gregory, Lam Bonnie Y.K., Lee Byung Chul, Lee Keon Joo, Lim Jae Sung, Lopes Renaud, Makin Stephen D.J., Mendyk Anne Marie, Mok Vincent C.T., Oh Mi Sun, van Oostenbrugge Robert J., Roussel Martine, Shi Lin, Staals Julie, Del C Valdés-Hernández Maria, Venketasubramanian Narayanaswamy, Verhey Frans R.J., Wardlaw Joanna M., Werring David J., Xin Xu, Yu Kyung Ho, van Zandvoort Martine J.E., Zhao Lei, Biesbroek J. Matthijs, Biessels Geert Jan 23 apr 2021, In: Lancet Neurology. 20 , p. 448-459 12 p.

Detection of Cerebral Microbleeds With Venous Connection at 7 Tesla MRI

Rotta Johanna, Perosa Valentina, Yakupov Renat, Kuijf Hugo J, Schreiber Frank, Dobisch Laura, Oltmer Jan, Assmann Anne, Speck Oliver, Heinze Hans-Jochen, Acosta-Cabronero Julio, Düzel Emrah, Schreiber Stefanie 2 mrt 2021, In: Neurology. 96 , p. e2048-e2057

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

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

Arterial Remodeling of the Intracranial Arteries in Patients With Hypertension and Controls:A Postmortem Study

van Hespen Kees M, Mackaaij Claire, Waas Ingeborg S E, de Bree Marloes P, Zwanenburg Jaco J M, Kuijf Hugo J, Daemen Mat J A P, Hendrikse Jeroen, Hermkens Dorien M A jan 2021, In: Hypertension (Dallas, Tex. : 1979). 77 , p. 135-146 12 p.

Automatic Cerebral Vessel Extraction in TOF-MRA Using Deep Learning

de Vos Vera, Timmins Kimberley, van der Schaaf Irene, Ruigrok Ynte, Velthuis BK, Kuijf Hugo 2021,

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

All research output

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