Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrea U. J. Mewes"'
Autor:
Andrea U. J. Mewes, Ion-Florin Talos, Ferenc A. Jolesz, William M. Wells, Peter McL. Black, Alexandra J. Golby, Neil I. Weisenfeld, Ron Kikinis, Steven Haker, Carl-Fredrik Westin, Kelly H. Zou, Clare M. Tempany, Corey A. Kemper, Simon K. Warfield, Daniel Goldberg-Zimring
Publikováno v:
Medical Image Analysis. 9:145-162
During neurosurgical procedures the objective of the neurosurgeon is to achieve the resection of as much diseased tissue as possible while achieving the preservation of healthy brain tissue. The restricted capacity of the conventional operating room
Publikováno v:
IEEE Transactions on Medical Imaging. 23:447-458
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 9(Pt 1)
The segmentation of newborn brain MRI is important for assessing and directing treatment options for premature infants at risk for developmental disorders, abnormalities, or even death. Segmentation of infant brain MRI is particularly challenging whe
Autor:
Simon K. Warfield, Petra Susan Hüppi, Heidelise Als, Andrea U. J. Mewes, William M. Wells, Terrie E. Inder, Lilla Zöllei, Gloria B. McAnulty
Publikováno v:
NeuroImage, Vol. 36, No 4 (2007) pp. 1074-85
Regional investigations of newborn MRI are important to understand the appearance and consequences of early brain injury. Previously, regionalization in neonates has been achieved with a Talairach parcellation, using internal landmarks of the brain.
Autor:
Frank J. Rybicki, Terrie E. Inder, Richard L. Robertson, Michael J. Rivkin, Petra Susan Hüppi, Robert V. Mulkern, Heidelise Als, Gloria B. McAnulty, Simon K. Warfield, Andrea U. J. Mewes
Publikováno v:
Pediatrics, Vol. 118, No 1 (2006) pp. 23-33
OBJECTIVE. MRI studies have shown that preterm infants with brain injury have altered brain tissue volumes. Investigation of preterm infants without brain injury offers the opportunity to define the influence of early birth on brain development and p
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 8(Pt 1)
A new framework is presented for clustering fiber tracts into anatomically known bundles. This work is motivated by medical applications in which variation analysis of known bundles of fiber tracts in the human brain is desired. To include the anatom
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006 ISBN: 9783540447078
MICCAI (1)
MICCAI (1)
The segmentation of newborn brain MRI is important for assessing and directing treatment options for premature infants at risk for developmental disorders, abnormalities, or even death. Segmentation of infant brain MRI is particularly challenging whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bda0e2db9a3e74b55fca84b8eb8c912
https://doi.org/10.1007/11866565_25
https://doi.org/10.1007/11866565_25
Publikováno v:
Journal of neuroimaging : official journal of the American Society of Neuroimaging. 15
Multiple sclerosis (MS), a demyelinating disease, occurs principally in the white matter (WM) of the central nervous system. Conventional magnetic resonance imaging (MRI) is sensitive to some, but not all, brain changes associated with MS. Diffusion-
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540293279
MICCAI
MICCAI
A new framework is presented for clustering fiber tracts into anatomically known bundles. This work is motivated by medical applications in which variation analysis of known bundles of fiber tracts in the human brain is desired. To include the anatom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa22f9680cd2b2598aeb03e6480e4a86
https://doi.org/10.1007/11566465_24
https://doi.org/10.1007/11566465_24