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  • Petronella Anbeek, Koen L. Vincken, Matthias J. P. van Osch, Robertus H. C. Bisschops, Jeroen van der Grond
  • Medicine, Mathematics, Computer Science
  • NeuroImage
  • 2004 (First Publication: 1 March 2004)
  • A new method has been developed for fully automated segmentation of white matter lesions (WMLs) in cranial MR imaging. The algorithm uses information from T1-weighted (T1-w), inversion recovery (IR),Continue Reading
  • Petronella Anbeek, Koen L. Vincken, Floris Groenendaal, Annemieke Koeman, Matthias J. P. van Osch, Jeroen van der Grond
  • Medicine
  • Pediatric Research
  • 2008 (First Publication: 1 February 2008)
  • A fully automated method has been developed for segmentation of four different structures in the neonatal brain: white matter (WM), central gray matter (CEGM), cortical gray matter (COGM), andContinue Reading
  • Petronella Anbeek, Koen L. Vincken, Matthias J. P. van Osch, Robertus H. C. Bisschops, Jeroen van der Grond
  • Computer Science, Medicine, Mathematics
  • Medical Image Anal.
  • 2004 (First Publication: 1 September 2004)
  • A new method for fully automated segmentation of white matter lesions (WMLs) on cranial MR imaging is presented. The algorithm uses five types of regular MRI-scans. It is based on a K-NearestContinue Reading