dr. H.J. (Hugo) Kuijf
- Image Sciences Institute
Research Programs
Biography
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 (93)
van Hespen Kees M, Zwanenburg Jaco J M, Hendrikse Jeroen, Kuijf Hugo J jan 2021, In: Medical Image Analysis. 67 , p. 101818
van Hespen Kees M, Mackaaij Claire, Waas Ingeborg S E, de Bree Marloes P, Zwanenburg Jaco J M, Kuijf Hugo J, Daemen Mat J A P, Hendrikse Jeroen, Hermkens Dorien M A jan 2021, In: Hypertension (Dallas, Tex. : 1979). 77 , p. 135-146 12 p.
Jansen Mariëlle, Kuijf Hugo, Dhara Ashis K., Weaver Nick, Biessels Geert Jan, Strand Robin, Pluim JPW 1 nov 2020, In: Journal of Medical Imaging. 7 , p. 064003
Mutsaerts Henk J M M, Petr Jan, Groot Paul, Vandemaele Pieter, Ingala Silvia, Robertson Andrew D, Václavů Lena, Groote Inge, Kuijf Hugo, Zelaya Fernando, O'Daly Owen, Hilal Saima, Wink Alle Meije, Kant Ilse, Caan Matthan W A, Morgan Catherine, de Bresser Jeroen, Lysvik Elisabeth, Schrantee Anouk, Bjørnebekk Astrid, Clement Patricia, Shirzadi Zahra, Kuijer Joost P A, Wottschel Viktor, Anazodo Udunna C, Pajkrt Dasja, Richard Edo, Bokkers Reinoud P H, Reneman Liesbeth, Masellis Mario, Günther Matthias, MacIntosh Bradley J, Achten Eric, Chappell Michael A, van Osch Matthias J P, Golay Xavier, Thomas David L, De Vita Enrico, Bjørnerud Atle, Nederveen Aart, Hendrikse Jeroen, Asllani Iris, Barkhof Frederik 1 okt 2020, In: NeuroImage. 219 17 p.
Blom Kim, Koek Huiberdina L, Zwartbol Maarten H T, Ghaznawi Rashid, Kuijf Hugo J, Witkamp Theo D, Hendrikse Jeroen, Biessels Geert Jan, Geerlings Mirjam I, 5 sep 2020, In: Journal of Alzheimer's Disease. 77 , p. 1223-1239 17 p.
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.
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, 1 apr 2020, In: Journal of Cerebral Blood Flow and Metabolism. 40 , p. 739-746 8 p.
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.
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.
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.