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 (105)
Leiner Tim, Bennink E, Mol Christian, Kuijf Hugo, Veldhuis WB dec 2021, In: Insights Into Imaging [E]. 12 , p. 11
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.
Timmins Kimberley, van der Schaaf Irene, Bennink E, Ruigrok Ynte, Velthuis BK, Kuijf Hugo sep 2021, In: NeuroImage. 238 21 p.
Weaver Nick A., Kuijf Hugo J., Aben Hugo P., Abrigo Jill, Bae Hee Joon, Barbay Mélanie, Best Jonathan G., Bordet Régis, Chappell Francesca M., Chen Christopher P.L.H., Dondaine Thibaut, van der Giessen Ruben S., Godefroy Olivier, Gyanwali Bibek, Hamilton Olivia K.L., Hilal Saima, Huenges Wajer Irene M.C., Kang Yeonwook, Kappelle L. Jaap, Kim Beom Joon, Köhler Sebastian, de Kort Paul L.M., Koudstaal Peter J., Kuchcinski Gregory, Lam Bonnie Y.K., Lee Byung Chul, Lee Keon Joo, Lim Jae Sung, Lopes Renaud, Makin Stephen D.J., Mendyk Anne Marie, Mok Vincent C.T., Oh Mi Sun, van Oostenbrugge Robert J., Roussel Martine, Shi Lin, Staals Julie, Del C Valdés-Hernández Maria, Venketasubramanian Narayanaswamy, Verhey Frans R.J., Wardlaw Joanna M., Werring David J., Xin Xu, Yu Kyung Ho, van Zandvoort Martine J.E., Zhao Lei, Biesbroek J. Matthijs, Biessels Geert Jan 23 apr 2021, In: Lancet Neurology. 20 , p. 448-459 12 p.
Rotta Johanna, Perosa Valentina, Yakupov Renat, Kuijf Hugo J, Schreiber Frank, Dobisch Laura, Oltmer Jan, Assmann Anne, Speck Oliver, Heinze Hans-Jochen, Acosta-Cabronero Julio, Düzel Emrah, Schreiber Stefanie 2 mrt 2021, In: Neurology. 96 , p. e2048-e2057
Timmins Kimberley, van der Schaaf Irene, Velthuis BK, Ruigrok Ynte, Kuijf Hugo 15 feb 2021, 11596
van Hespen Kees M, Zwanenburg Jaco J M, Hendrikse Jeroen, Kuijf Hugo J jan 2021, In: Medical Image Analysis. 67 , p. 1-10
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.
Bonkhoff Anna K, Lim Jae-Sung, Bae Hee-Joon, Weaver Nick A, Kuijf Hugo J, Biesbroek J Matthijs, Rost Natalia S, Bzdok Danilo 2021, In: Brain communications. 3 18 p.
de Vos Vera, Timmins Kimberley, van der Schaaf Irene, Ruigrok Ynte, Velthuis BK, Kuijf Hugo 2021,