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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

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing

van der Velden BHM, de Vos Bob D., Loo Claudette E., Kuijf HJ, Isgum I, Gilhuijs KG 17 Feb 2019

Strategic infarct location for post-stroke cognitive impairment: A multivariate lesion-symptom mapping study

Zhao Lei, Biesbroek J. Matthijs, Shi Lin, Liu Wenyan, Kuijf Hugo J., Chu Winnie W.C., Abrigo Jill M., Lee Ryan K.L., Leung Thomas W.H., Lau Alexander Y.L., Biessels Geert J., Mok Vincent, Wong Adrian 1 Aug 2018 In: Journal of Cerebral Blood Flow and Metabolism. 38, p. 1299-1311

Body representation disorders predict left right orientation impairments after stroke: A voxel-based lesion symptom mapping study

van Stralen Haike E., Dijkerman H. Chris, Biesbroek J. Matthijs, Kuijf Hugo J., van Gemert H. Maarten A, Sluiter David, Kappelle L. Jaap, van Zandvoort Martine J.E. Jul 2018 In: Cortex. 104, p. 140-153

Ex vivo vessel wall thickness measurements of the human circle of Willis using 7T MRI

Harteveld Anita A., Denswil Nerissa P., Van Hecke Wim, Kuijf Hugo J., Vink Aryan, Spliet Wim G.M., Daemen Mat J., Luijten Peter R., Zwanenburg Jaco J.M., Hendrikse Jeroen, van der Kolk Anja G. 1 Jun 2018 In: Atherosclerosis. 273, p. 106-114 9 p.

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: A feasibility study

Jansen M. J.A., Kuijf H. J., Pluim J. P.W. 23 May 2018 2018-April, p. 245-248 4 p.

Morphological characteristics of diffuse idiopathic skeletal hyperostosis in the cervical spine

Bakker Jessica T, Kuperus Jonneke S , Kuijf Hugo J, Oner F Cumhur, de Jong Pim A, Verlaan Jorrit-Jan 20 Nov 2017 In: PLoS ONE [E]. 12

Reduced vascular amyloid burden at microhemorrhage sites in cerebral amyloid angiopathy

van Veluw Susanne J., Kuijf Hugo J., Charidimou Andreas, Viswanathan Anand, Biessels Geert Jan, Rozemuller Annemieke J M, Frosch Matthew P., Greenberg Steven M. Mar 2017 In: Acta Neuropathologica. 133, p. 409-415 7 p.

Impact of Strategically Located White Matter Hyperintensities on Cognition in Memory Clinic Patients with Small Vessel Disease

Biesbroek J. Matthijs, Weaver Nick A., Hilal Saima, Kuijf Hugo J., Ikram Kamran, Xu Xin, Tan Boon Yeow, Venketasubramanian Narayanaswamy, Postma Albert, Biessels Geert Jan, Chen Christopher P L H 1 Nov 2016 In: PLoS ONE [E]. 11

Quantification of deep medullary veins at 7 T brain MRI

Kuijf Hugo J., Bouvy Willem H., Zwanenburg Jaco J M, Schultz Tom B Razoux, Viergever Max A., Vincken Koen L., Biessels Geert Jan Oct 2016 In: European Radiology. 26, p. 3412-3418 7 p.

Assessment of blood flow velocity and pulsatility in cerebral perforating arteries with 7-T quantitative flow MRI

Bouvy W. H., Geurts L. J., Kuijf H. J., Luijten P. R., Kappelle L. J., Biessels G. J., Zwanenburg J. J M 1 Sep 2016 In: NMR in Biomedicine. 29, p. 1295-1304 10 p.

Fellowship and Awards

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

© 2019  

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