Hugo Kuijf (1986) was born in Woerden and grew up in Linschoten, the Netherlands. He completed his Computer Science Bachelor at the Utrecht University in 2007, with academic minors in Software Technology and Game- and Mediatechnology. During his Master Game and Media Technology, he developed an interest in medical image processing. He took extracurricular courses offered by the Biomedical Image Sciences Master programme and finished his Masters’ with an internship at the Netherlands Cancer Institute (NKI-AvL), Amsterdam. End of 2009, Hugo started as a PhD-candidate at the Image Sciences Institute (ISI), UMC Utrecht, and focussed on image processing techniques for brain MR images. After completing his PhD in 2013, Hugo continued as a postdoctoral researcher at the ISI.
Currently, Hugo is working on the project “Quantitative analysis of MR brain images for cerebrovascular disease management (Brainbox)”.
Automatic extraction of the midsagittal surface from brain MR images using the Kullback-Leibler measure
Hugo J. Kuijf, Susanne J. van Veluw, Mirjam I. Geerlings, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken Full text (PDF – 2 MB) The midsagittal surface separates the two hemispheres of the cerebrum. This surface is often typified as a geometrical plane: the midsagittal plane. However, in subjects with a considerable amount of…
How to assess the reliability of cerebral microbleed rating?
Hugo J. Kuijf, Susanne J. van Veluw, Max A. Viergever, Koen L. Vincken, Geert Jan Biessels Interest in cerebral microbleeds has grown rapidly over the past years. The need for sensitive and reliable detection of microbleeds has spurred the development of new MR sequences and standardized visual rating scales (Cordonnier et al., 2009; Gregoire et…
Registration of brain CT images to an MRI template for the purpose of lesion-symptom mapping
H.J. Kuijf, J.M. Biesbroek, M.A. Viergever, G.J. Biessels, K.L. Vincken Full text (PDF – 3 MB) Lesion-symptom mapping is a valuable tool for exploring the relation between brain structure and function. In order to perform lesion-symptom mapping, lesion delineations made on different brain CT images need to be transformed to a standardized coordinate system. The…
Semi-Automated Detection of Cerebral Microbleeds on 3.0 T MR Images
H.J. Kuijf, M. Brundel, J. de Bresser, S.J. van Veluw, S.M. Heringa, M.A. Viergever, G.J. Biessels, K.L. Vincken Cerebral microbleeds are associated with vascular disease and dementia. They can be detected on MRI and receive increasing attention. Visual rating is the current standard for microbleed detection, but is rater dependent, has limited reproducibility, modest sensitivity,…
Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform
Hugo J. Kuijf, Jeroen de Bresser, Mirjam I. Geerlings, Mandy M.A. Conijn, Max A. Viergever, Geert Jan Biessels, Koen L. Vincken Full text (PDF – 11 MB) Cerebral microbleeds (CMBs) are commonly detected on MRI and have recently received an increased interest, because they are associated with vascular disease and dementia. Identification and rating of…