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dr. H.J. (Hugo) Kuijf

dr. H.J. (Hugo) Kuijf

Assistant Professor
dr. H.J. (Hugo) Kuijf
  • Image Sciences Institute

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 microbleedsmicroinfarcts, 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 Imagingmember 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.

Research Output (128)

Multimodal tract-based MRI metrics outperform whole brain markers in determining cognitive impact of small vessel disease-related brain injury

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.

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

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

Microinfarcts in the Deep Gray Matter on 7T MRI:Risk Factors, MRI Correlates, and Relation to Cognitive Functioning-The SMART-MR Study

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.

Automatic quantification of perivascular spaces in T2-weighted images at 7 T MRI

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

Improving automated intracranial artery labeling using atlas-based features in graph convolutional nets

Vos Iris, Ruigrok Ynte, Timmins Kimberley, Velthuis Birgitta, Kuijf Hugo 4 Apr 2022, 12032

Deep learning with vessel surface meshes for intracranial aneurysm detection

Timmins Kimberley, van der Schaaf Irene, Vos Iris, Ruigrok Ynte, Velthuis Birgitta, Kuijf Hugo 4 Apr 2022,

Assessment of manual and automated intracranial artery diameter measurements

Vos Iris, Ophelders Maud, Ruigrok Ynte, Velthuis Birgitta, Kuijf Hugo 21 Mar 2022,

Relationship between 3D Morphologic Change and 2D and 3D Growth of Unruptured Intracranial Aneurysms

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.

Association of Early MRI Characteristics With Subsequent Epilepsy and Neurodevelopmental Outcomes in Children With Tuberous Sclerosis Complex

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

All research output

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