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

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.

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. 1-10 10 p.

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, 19 Mar 2019 In: Journal of Cerebral Blood Flow and Metabolism. p. 271678X19838087

Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

Kuijf Hugo J, Biesbroek J Matthijs, de Bresser Jeroen, Heinen Rutger, Andermatt Simon, Bento Mariana, Berseth Matt, Belyaev Mikhail, Cardoso M Jorge, Casamitjana Adria, Collins D Louis, Dadar Mahsa, Georgiou Achilleas, Ghafoorian Mohsen, Jin Dakai, Khademi April, Knight Jesse, Li Hongwei, Llado Xavier, Luna Miguel, Mahmood Qaiser, McKinley Richard, Mehrtash Alireza, Ourselin Sebastien, Park Bo-Yong, Park Hyunjin, Park Sang Hyun, Pezold Simon, Puybareau Elodie, Rittner Leticia, Sudre Carole H, Valverde Sergi, Vilaplana Veronica, Wiest Roland, Xu Yongchao, Xu Ziyue, Zeng Guodong, Zhang Jianguo, Zheng Guoyan, Chen Christopher, van der Flier Wiesje, Barkhof Frederik, Viergever Max A, Biessels Geert Jan 19 Mar 2019 In: IEEE Transactions on Medical Imaging.

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

Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation

Jansen MJA, Kuijf HJ, Pluim JPW 2019

Subvoxel vessel wall thickness measurements from vessel wall MR images

van Hespen KM, Zwanenburg JJM, Hendrikse J, Kuijf HJ 2019

The Clinical Phenotype of Vascular Cognitive Impairment in Patients with Type 2 Diabetes Mellitus

Groeneveld Onno N, Moneti Costanza, Heinen Rutger, de Bresser Jeroen, Kuijf Hugo J, Exalto Lieza G, Boomsma Jooske M F, Kappelle L Jaap, Barkhof Frederik, Prins Niels D, Scheltens Philip, van der Flier Wiesje M, Biessels Geert Jan, 2019 In: Journal of Alzheimer's Disease. 68, p. 311-322 12 p.

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

All Research Output (58)

Fellowship and Awards

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

ZonMW Off Road - "The odd one out: generic detection of anomalies in brain MR images"
Applied Data Analytics in Medicine - Imagr
Hartstichting PPS 2018 - "ANEURYSM@RISK: automatic intracranial aneurysm quantification, 4D flow MRI and feature learning modelling to optimize intracranial aneurysm rupture prediction"
BRAIN@RISK Talent Programme
Research grant from Applied Data Science - Special Interest Group Imaging
Study grant from Circulatory Health - visit to Massachusetts General Hospital and Harvard Medical School, Boston, USA
NVIDIA GPU Grant Programme
Travel grant from Alzheimer Nederland
ISMRM Educational Stiped (twice)