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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.
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Model-Based Multiscale Detection of 3D Vessels
TL;DR: In this article, a multiscale analysis is used to extract the vessel network surrounding an aneurysm from 3D angiography of the brain, and a smoothed skeleton of the vessels is combined with a MIP or a volume rendering to enhance their visualization.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze,Andras Jakab,Stefan Bauer,Jayashree Kalpathy-Cramer,Keyvan Farahani,Justin Kirby,Yuliya Burren,N Porz,Johannes Slotboom,Roland Wiest,Levente Lanczi,Elizabeth R. Gerstner,Marc-André Weber,Tal Arbel,Brian B. Avants,Nicholas Ayache,Patricia Buendia,D. Louis Collins,Nicolas Cordier,Jason J. Corso,Antonio Criminisi,Tilak Das,Hervé Delingette,Çağatay Demiralp,Christopher R. Durst,Michel Dojat,Senan Doyle,Joana Festa,Florence Forbes,Ezequiel Geremia,Ben Glocker,Polina Golland,Xiaotao Guo,Andac Hamamci,Khan M. Iftekharuddin,Raj Jena,Nigel M. John,Ender Konukoglu,Danial Lashkari,José Mariz,Raphael Meier,Sérgio Pereira,Doina Precup,Stephen J. Price,Tammy Riklin Raviv,Syed M. S. Reza,Michael Ryan,Duygu Sarikaya,Lawrence H. Schwartz,Hoo-Chang Shin,Jamie Shotton,Carlos A. Silva,Nuno Sousa,Nagesh K. Subbanna,Gábor Székely,Thomas J. Taylor,Owen M. Thomas,Nicholas J. Tustison,Gozde Unal,Flor Vasseur,Max Wintermark,Dong Hye Ye,Liang Zhao,Binsheng Zhao,Darko Zikic,Marcel Prastawa,Mauricio Reyes,Koen Van Leemput +67 more
TL;DR: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) as discussed by the authors was organized in conjunction with the MICCAI 2012 and 2013 conferences, and twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low and high grade glioma patients.
Book ChapterDOI
Simulating Patient Specific Multiple Time-Point MRIs from a Biophysical Model of Brain Deformation in Alzheimer’s Disease
TL;DR: A biophysical model of brain deformation that can generate biologically plausible deformation for any given desired volume changes at the voxel level of the brain MRI is used to simulate patient specific structural Magnetic Resonance Images from the available MRI scans of Alzheimer's Disease subjects.
Book ChapterDOI
In vivo contact EP data and ex vivo MR-based computer models: registration and model-dependent errors
Mihaela Pop,Maxime Sermesant,Roey Flor,Charles Pierre,Tommaso Mansi,Samuel Oduneye,Jen Barry,Yves Coudière,Eugene Crystal,Nicholas Ayache,Graham A. Wright +10 more
TL;DR: Small errors are found between the measured and the predicted activation times, as well as between the depolarization times using these three models, suggesting that simple mathematical formalisms might be a good choice for integration of fast, predictive models into clinical platforms.