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

Image Sciences Institute

Contact

hkuijf@umcutrecht.nl

Research programs

Brain

Biography
Side Activities
Research Output
Fellowship and Awards

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

White matter hyperintensity shape and location feature analysis on brain MRI; Proof of principle study in patients with diabetes

De Bresser Jeroen, Kuijf Hugo J., Zaanen Karlijn, Viergever Max A., Hendrikse Jeroen, Biessels Geert Jan, Van Den Berg E., Bouvy W., Brundel M., Heringa S., Kappelle L. J., Leemans A., Luijten P. R., Mali W. P.T.M., Rutten G. E.H.M., Vincken K. L., Zwanenburg J., 1 Dec 2018 In: Scientific Reports. 8

Impact of different palliative systemic treatments on skeletal muscle mass in metastatic colorectal cancer patients

Kurk Sophie A, Peeters Petra H M, Dorresteijn Bram, de Jong Pim A, Jourdan Marion, Kuijf Hugo J, Punt Cornelis J A, Koopman Miriam, May Anne M 24 Aug 2018 In: Journal of Cachexia, Sarcopenia and Muscle. 9, p. 909-919

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.

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

Moeskops Pim, de Bresser Jeroen, Kuijf Hugo J., Mendrik AM, Biessels Geert Jan, Pluim Josien P.W., Išgum Ivana 2018 In: Neuroimage: Clinical [E]. 17, p. 251-262 12 p.

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: Third International Workshop, BrainLes 2017 Held in Conjunction with MICCAI 2017 Quebec City, QC, Canada, September 14, 2017 Revised Selected Papers

Crimi Alessandro, Bakas Spyridon, Kuijf HJ, Menze Bjoern, Reyes Mauricio 2018 524 p.

Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer's Disease at 3T and 7T: What Atlas Composition Works Best?

Xie Long, Shinohara Russell T, Ittyerah Ranjit, Kuijf Hugo J, Pluta John B, Blom Kim, Kooistra Minke, Reijmer Yael D, Koek Huiberdina L, Zwanenburg Jaco J M, Wang Hongzhi, Luijten Peter R, Geerlings Mirjam I, Das Sandhitsu R, Biessels Geert Jan, Wolk David A, Yushkevich Paul A, Wisse Laura E M 2018 In: Journal of Alzheimer's Disease. 63, p. 217-225

Data on vessel wall thickness measurements of intracranial arteries derived from human circle of Willis specimens

Harteveld Anita A., Denswil Nerissa P., Hecke Wim Van, Kuijf Hugo J., Vink Aryan, Spliet Wim G.M., Daemen Mat J., Luijten Peter R., Zwanenburg Jaco J.M., Hendrikse Jeroen, Kolk Anja G. van der 2018 In: Data in Brief. 19, p. 6-12

All Research Output (54)

Fellowship and Awards

ZonMW Off Road

Applied Data Analytics in Medicine - Imagr

Hartstichting PPS 2018