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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 (121)

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

Assessment of manual and automated intracranial artery diameter measurements

Vos Iris, 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

Association Between Cerebral Cortical Microinfarcts and Perilesional Cortical Atrophy on 3T MRI

Ferro Doeschka A, Kuijf Hugo J, Hilal Saima, van Veluw Susanne J, van Veldhuizen Daniëlle, Venketasubramanian Narayanaswamy, Tan Boon Yeow, Biessels Geert Jan, Chen Christopher 3 Dec 2021, In: Neurology. 98 , p. E612-E622

Computed tomography-based calcium scoring in cadaver leg arteries:Influence of dose, reader, and reconstruction algorithm

de Jong Daan J, van der Star Simone, Bleys Ronald L A W, Schilham Arnold M R, Kuijf Hugo J, de Jong Pim A, Kok Madeleine 1 Dec 2021, In: European Journal of Radiology. 146

An anomaly detection approach to identify chronic brain infarcts on MRI

van Hespen Kees M, Zwanenburg Jaco J M, Dankbaar Jan W, Geerlings Mirjam I, Hendrikse Jeroen, Kuijf Hugo J Dec 2021, In: Scientific Reports. 11

Bringing AI to the clinic: blueprint for a vendor-neutral AI deployment infrastructure

Leiner Tim, Bennink E, Mol Christian, Kuijf Hugo, Veldhuis WB Dec 2021, In: Insights Into Imaging [E]. 12 , p. 11

Reliability and Agreement of 2D and 3D Measurements on MRAs for Growth Assessment of Unruptured Intracranial Aneurysms

Timmins Kimberley, Kuijf Hugo, Vergouwen Mervyn, Otten Maarten, Ruigrok Ynte, Velthuis BK, van der Schaaf Irene 1 Sep 2021, In: American Journal of Neuroradiology. 42 , p. 1598-1603 6 p.

Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge

Timmins Kimberley, van der Schaaf Irene, Bennink E, Ruigrok Ynte, Velthuis BK, Kuijf Hugo Sep 2021, In: NeuroImage. 238 21 p.

All research output

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