N
Nicholas Ayache
Researcher at French Institute for Research in Computer Science and Automation
Publications - 639
Citations - 47063
Nicholas Ayache is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Segmentation & Image registration. The author has an hindex of 97, co-authored 624 publications receiving 43140 citations. Previous affiliations of Nicholas Ayache include University of Las Palmas de Gran Canaria & Mauna Kea Technologies.
Papers
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Journal ArticleDOI
Robust nonrigid registration to capture brain shift from intraoperative MRI
Olivier Clatz,Hervé Delingette,Ion-Florin Talos,Alexandra J. Golby,Ron Kikinis,Ferenc A. Jolesz,Nicholas Ayache,Simon K. Warfield +7 more
TL;DR: A new framework to compute the displacement field in an iterative process, allowing the solution to gradually move from an approximation formulation to an interpolation formulation (least square minimization of the data error term), aiming at improving the robustness of the algorithm.
Journal ArticleDOI
Using deformable surfaces to segment 3-D images and infer differential structures
TL;DR: This paper uses a variational approach and a finite element method to actually express the surface in a discrete basis of continuous functions, which leads to a reduced computational complexity and a better numerical stability.
BookDOI
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012
TL;DR: The model detected the enhanced segments with 91%/92% sensitivity/specificity which is better than the 81%/85% obtained by the voxel-independent approach and the clinical impact of the model in distinguishing between enhancing and nonenhancing ileum segments in 24 Crohn’s disease patients is demonstrated.
Journal ArticleDOI
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images.
Ezequiel Geremia,Olivier Clatz,Bjoern H. Menze,Ender Konukoglu,Antonio Criminisi,Nicholas Ayache +5 more
TL;DR: In an a posteriori analysis, it is shown how selected features during classification can be ranked according to their discriminative power and reveal the most important ones.
Journal ArticleDOI
Virtual Reality Applied to Hepatic Surgery Simulation: The Next Revolution
Jacques Marescaux,Jean-Marie Clément,V. Tassetti,Christophe Koehl,Stéphane Cotin,Yves Russier,Didier Mutter,Hervé Delingette,Nicholas Ayache +8 more
TL;DR: Three-dimensional visualization of the organ in relation to the pathology is of great help to appreciate the complex anatomy of the liver and using virtual reality concepts for this complex surgical procedure may be possible.