dr. H.J. (Hugo) Kuijf
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 (128)
De Luca Alberto, Kuijf Hugo, Exalto Lieza, Thiebaut de Schotten Michel, Biessels Geert-Jan, Sep 2022, In: Brain structure & function. 227 , p. 2553-2567 15 p.
van der Velden Bas H M, Kuijf Hugo J, Gilhuijs Kenneth G A, Viergever Max A Jul 2022, In: Medical Image Analysis. 79 , p. 1-21
Ghaznawi R, Zwartbol M H T, de Bresser J, Kuijf H J, Vincken K L, Rissanen I, Geerlings M I, Hendrikse J, 26 May 2022, In: AJNR. American journal of neuroradiology. 43 , p. 829-836 8 p.
Verbeek-Spijkerman Jolanda, Zwanenburg J. J.M., Bouvy W. H., Geerlings M. I., Biessels G. J., Hendrikse J., Luijten P. R., Kuijf H. J. 13 Apr 2022, In: Cerebral Circulation - Cognition and Behavior. 3 , p. 1-9
Vos Iris, Ruigrok Ynte, Timmins Kimberley, Velthuis Birgitta, Kuijf Hugo 4 Apr 2022, 12032
Timmins Kimberley, van der Schaaf Irene, Vos Iris, Ruigrok Ynte, Velthuis Birgitta, Kuijf Hugo 4 Apr 2022,
Madzia-Madzou Djennifer, Kuijf Hugo Apr 2022,
Vos Iris, Ophelders Maud, Ruigrok Ynte, Velthuis Birgitta, Kuijf Hugo 21 Mar 2022,
Timmins Kimberley, Kuijf Hugo, Vergouwen Mervyn, Ruigrok Ynte, Velthuis Birgitta, van der Schaaf Irene Mar 2022, In: American Journal of Neuroradiology. 43 , p. 416-421 6 p.
Hulshof Hanna M, Kuijf Hugo J, Kotulska Katarzyna, Curatolo Paolo, Weschke Bernhard, Riney Kate, Krsek Pavel, Feucht Martha, Nabbout Rima, Lagae Lieven, Jansen Anna, Otte Wim M, Lequin Maarten H, Sijko Kamil, Benvenuto Arianna, Hertzberg Christoph, Benova Barbora, Scholl Theresa, De Ridder Jessie, Aronica EleonoraM A, Kwiatkowski David J, Jozwiak Sergiusz, Jurkiewicz Elzbieta, Braun Kees, Jansen Floor E, 31 Jan 2022, In: Neurology. 98 , p. e1216-e1225