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Fingerprint Dive into the research topics where Hugo J. Kuijf is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Brain Medicine & Life Sciences
Cerebrospinal fluid Engineering & Materials Science
Image segmentation Engineering & Materials Science
Image Segmentation Mathematics
Cerebrospinal Fluid Medicine & Life Sciences
Blood Vessels Medicine & Life Sciences
Classifiers Engineering & Materials Science
Magnetic Resonance Imaging Medicine & Life Sciences

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Research Output 2015 2019

  • 89 Citations
  • 4 Article
  • 3 Conference contribution

Automatic classification of focal liver lesions based on MRI and risk factors

Jansen, M. J. A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., Viergever, M. A. & Pluim, J. P. W., 2019, In : PLoS ONE. 14, 5, 13 p., e0217053

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
lesions (animal)
Liver
Magnetic resonance imaging
risk factors
liver
1 Citation (Scopus)

Automatic classification of focal liver lesions based on clinical DCE-MR and T2-weighted images: a feasibility study

Jansen, M. J. A., Kuijf, H. J. & Pluim, J. P. W., 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Piscataway: Institute of Electrical and Electronics Engineers, p. 245-248 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

11 Citations (Scopus)

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI

Moeskops, P., de Bresser, J., Kuijf, H. J., Mendrik, A. M., Biessels, G. J., Pluim, J. P. W. & Išgum, I., 2018, In : NeuroImage: Clinical. 17, p. 251-262 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
Blood Vessels
Learning
Brain
Artifacts
Cerebrospinal Fluid
7 Citations (Scopus)

Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver

Jansen, M. J. A., Kuijf, H. J., Veldhuis, W. B., Wessels, F. J., van Leeuwen, M. S. & Pluim, J. P. W., 7 Oct 2017, In : Physics in Medicine and Biology. 62, 19, p. 7556-7568

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
3 Citations (Scopus)

Employing visual analytics to aid the design of white matter hyperintensity classifiers

Raidou, R. G., Kuijf, H. J., Sepasian, N., Pezzotti, N., Bouvy, W. H., Breeuwer, M. & Vilanova, A., 2016, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016 : Proceedings. Ourselin, S., Joskowicz, L., Sabuncu, M. R., Unal, G. & Wells, W. (eds.). Springer, Vol. 2, p. 97-105 (Lecture Notes in Computer Science; vol. 9901)

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Classifiers
Feature extraction
Pipelines
Magnetic resonance imaging
Brain

Courses

Press / Media

AI can segment white-matter hyperintensities on MRI

Hugo Kuijf

22/04/19

1 item of media coverage

Press/Media: Expert Comment