H
Hervé Delingette
Researcher at French Institute for Research in Computer Science and Automation
Publications - 362
Citations - 20159
Hervé Delingette is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 63, co-authored 341 publications receiving 17764 citations. Previous affiliations of Hervé Delingette include Carnegie Mellon University.
Papers
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Journal ArticleDOI
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 mentioned in this paper 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.
Journal ArticleDOI
Real-time elastic deformations of soft tissues for surgery simulation
TL;DR: A novel method for surgery simulation including a volumetric model built from medical images and an elastic modeling of the deformations based on elasticity theory which suitably links the shape of deformable bodies and the forces associated with the deformation.
Journal ArticleDOI
A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation
TL;DR: In this paper, the authors propose three physical models based on linear elasticity theory and finite-element modeling that are well-suited for surgery simulation, and combine the previous two solutions into a hybrid model that simulates deformations and cutting on complex anatomical structures.
Proceedings Article
SOFA--an open source framework for medical simulation.
Jérémie Allard,Stéphane Cotin,François Faure,Pierre-Jean Bensoussan,François Poyer,Christian Duriez,Hervé Delingette,Laurent Grisoni +7 more
TL;DR: This paper highlights the key concepts of the SOFA architecture and illustrates its potential through a series of examples and reuse and easily compare a variety of available methods.
Journal ArticleDOI
General Object Reconstruction Based on Simplex Meshes
TL;DR: A general tridimensional reconstruction algorithm of range and volumetric images, based on deformable simplex meshes, which can handle surfaces without any restriction on their shape or topology.