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dr. H.J. (Hugo) Kuijf Assistant Professor

  • Image Sciences Institute
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Research programs

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 microbleeds, microinfarcts, 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 Imaging; member 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

Research Output

Volumetric assessment of extracranial carotid artery aneurysms

de Vries E E, van Laarhoven C J H C M, Kuijf H J, Hazenberg C E V B, van Herwaarden J A, Viergever M A, de Borst G J 1 Dec 2019 In: Scientific Reports. 9

The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study

Weaver Nick A, Zhao Lei, Biesbroek J Matthijs, Kuijf Hugo J, Aben Hugo P, Bae Hee-Joon, Caballero Miguel Á A, Chappell Francesca M, Chen Christopher P L H, Dichgans Martin, Duering Marco, Georgakis Marios K, van der Giessen Ruben S, Gyanwali Bibek, Hamilton Olivia K L, Hilal Saima, Vom Hofe Elise M, de Kort Paul L M, Koudstaal Peter J, Lam Bonnie Y K, Lim Jae-Sung, Makin Stephen D J, Mok Vincent C T, Shi Lin, Valdés Hernández Maria C, Venketasubramanian Narayanaswamy, Wardlaw Joanna M, Wollenweber Frank A, Wong Adrian, Xin Xu, Meta VCI Map consortium , Biessels Geert Jan Dec 2019 In: Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring. 11, p. 310-326 17 p.

Performance of five automated white matter hyperintensity segmentation methods in a multicenter dataset

Heinen Rutger, Steenwijk Martijn D., Barkhof Frederik, Biesbroek J. Matthijs, van der Flier Wiesje M., Kuijf H. J., Prins N. D., Vrenken Hugo, Biessels Geert Jan, de Bresser Jeroen, van den Berg E., Boomsma J. M. F., Exalto L. G., Ferro D. A., Frijns C. J. M., Groeneveld O. N., van Kalsbeek N. M., Verwer J. H., de Bresser Jeroen, Kuijf H. J., Emmelot-Vonk M. E., Koek H. L., Benedictus M. R., Bremer J., Leeuwis A. E., Leijenaar J., Prins N. D., Scheltens P., Tijms B. M., Wattjes M. P., Teunissen C. E., Koene T., Boomsma J. M. F., Weinstein H. C., Hamaker M., Faaij R., Pleizier M., Prins M., Vriens E., 14 Nov 2019 In: Scientific Reports. 9

Liver segmentation and metastases detection in MR images using convolutional neural networks

Jansen Mariëlle J A, Kuijf Hugo J, Niekel Maarten, Veldhuis Wouter B, Wessels Frank J, Viergever Max A, Pluim Josien P W 15 Oct 2019 In: Journal of Medical Imaging. 6

Intracranial Vessel Wall Magnetic Resonance Imaging Does Not Allow for Accurate and Precise Wall Thickness Measurements: An Ex Vivo Study

van Hespen Kees M., Zwanenburg Jaco J.M., Harteveld Anita A., Luijten Peter R., Hendrikse Jeroen, Kuijf Hugo J. 1 Oct 2019 In: Stroke. 50, p. e283-e284

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Biesbroek J Matthijs, Kuijf Hugo J, Weaver Nick A, Zhao Lei, Duering Marco, , Biessels Geert Jan 25 Sep 2019 In: Jove-Journal of visualized experiments.

The contribution of acute infarcts to cerebral small vessel disease progression

Ter Telgte Annemieke, Wiegertjes Kim, Gesierich Benno, Marques José P, Huebner Mathias, de Klerk Jabke J, Schreuder Floris H B M, Araque Caballero Miguel A, Kuijf Hugo J, Norris David G, Klijn Catharina J M, Dichgans Martin, Tuladhar Anil M, Duering Marco, de Leeuw Frank-Erik 24 Jul 2019 In: Annals of Neurology. 86, p. 582-592 11 p.

Cortical Microinfarcts and White Matter Connectivity in Memory Clinic Patients

Ferro DA, Heinen R, de Brito Robalo BM, Kuijf HJ, Biessels GJ, Reijmer YD, 5 Jun 2019 In: Frontiers in Neurology. 10, p. 571

Automatic classification of focal liver lesions based on MRI and risk factors

Jansen MJA, Kuijf HJ, Veldhuis WB, Wessels FJ, Viergever MA, Pluim JPW 16 May 2019 In: PLoS ONE. 14 13 p.

Impact of white matter hyperintensity location on depressive symptoms in memory-clinic patients: a lesion–symptom mapping study

Leeuwis Anna E., Weaver Nick A., Biesbroek J. Matthijs, Exalto Lieza G., Kuijf Hugo J., Hooghiemstra Astrid M., Prins Niels D., Scheltens Philip, Barkhof Frederik, van der Flier Wiesje M., Biessels Geert Jan 25 Apr 2019 In: Journal of Psychiatry and Neuroscience. 44, p. E1-E10 10 p.

Fellowship and Awards

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

© 2020  

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