dr. H.J. (Hugo) Kuijf
Assistant Professor
- Image Sciences Institute
Contact
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
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)
Research Output (85)
Contrast leakage distant from the hematoma in patients with spontaneous ICH:A 7 T MRI study
Jolink Wilmar MT, Lindenholz Arjen, van Etten Ellis S, van Nieuwenhuizen Koen M, Schreuder Floris Hbm, Kuijf Hugo J, van Osch Matthias Jp, Hendrikse Jeroen, Rinkel Gabriel Je, Wermer Marieke JH, Klijn Catharina JM 1 mei 2020, In: Journal of Cerebral Blood Flow and Metabolism. 40 , p. 1002-1011 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, apr 2020, In: Journal of Cerebral Blood Flow and Metabolism. 40 , p. 739-746 8 p.
Perinatal thalamic injury: MRI predictors of electrical status epilepticus in sleep and long-term neurodevelopment
van den Munckhof Bart, Zwart Anne F, Weeke Lauren C, Claessens Nathalie H P, Plate Joost D J, Leemans Alexander, Kuijf Hugo J, van Teeseling Heleen C, Leijten Frans S S, Benders Manon J N, Braun Kees P J, de Vries Linda S, Jansen Floor E 25 feb 2020, In: NeuroImage. Clinical. 26 9 p.
Temporal Dynamics of Cortical Microinfarcts in Cerebral Small Vessel Disease
Ter Telgte Annemieke, Wiegertjes Kim, Gesierich Benno, Baskaran Brendon Sri, Marques José P, Kuijf Hugo J, Norris David G, Tuladhar Anil M, Duering Marco, de Leeuw Frank-Erik 17 feb 2020, In: JAMA Neurology. 77 , p. 643-647 5 p.
Influence of Comorbidity of Cerebrovascular Disease and Amyloid-β on Alzheimer's Disease
Yassi Nawaf, Hilal Saima, Xia Ying, Lim Yen Ying, Watson Rosie, Kuijf Hugo, Fowler Christopher, Yates Paul, Maruff Paul, Martins Ralph, Ames David, Chen Christopher, Rowe Christopher C, Villemagne Victor L, Salvado Olivier, Desmond Patricia M, Masters Colin L 2020, In: Journal of Alzheimer's Disease. 73 , p. 897-907 11 p.
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 okt 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 okt 2019, In: Stroke. 50 , p. e283-e284