G
Grégoire Malandain
Researcher at French Institute for Research in Computer Science and Automation
Publications - 223
Citations - 10934
Grégoire Malandain 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 52, co-authored 222 publications receiving 10396 citations. Previous affiliations of Grégoire Malandain include École nationale supérieure de l'électronique et de ses applications & University of Nice Sophia Antipolis.
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Journal ArticleDOI
Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques
Jay B. West,J.M. Fitzpatrick,M.Y. Wang,Benoit M. Dawant,Calvin R. Maurer,Robert M. Kessler,Robert J. Maciunas,Christian Barillot,Lemoine D,A Collignon,Frederik Maes,Paul Suetens,Dirk Vandermeulen,van den Elsen Pa,Sandy Napel,Thilaka S. Sumanaweera,Beth A. Harkness,Paul F. Hemler,Derek L. G. Hill,David J. Hawkes,Colin Studholme,J.B.A. Maintz,Max A. Viergever,Grégoire Malandain,Roger P. Woods +24 more
TL;DR: The results indicate that retrospective techniques have the potential to produce satisfactory results much of the time, but that visual inspection is necessary to guard against large errors.
Book ChapterDOI
The Correlation Ratio as a New Similarity Measure for Multimodal Image Registration
TL;DR: This paper addresses the determination of a new measure based on standard statistics from a theoretical point of view and shows that it naturally leads to a known concept of probability theory, the correlation ratio, which is suggested to provide a good trade-off between accuracy and robustness.
Journal ArticleDOI
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
Keelin Murphy,B. van Ginneken,Joseph M. Reinhardt,Sven Kabus,Kai Ding,Xiang Deng,Kunlin Cao,Kaifang Du,Gary E. Christensen,V. Garcia,Tom Vercauteren,Nicholas Ayache,Olivier Commowick,Grégoire Malandain,Ben Glocker,Nikos Paragios,Nassir Navab,Vladlena Gorbunova,Jon Sporring,M. de Bruijne,Xiao Han,Mattias P. Heinrich,Julia A. Schnabel,Mark Jenkinson,Cristian Lorenz,Marc Modat,Jamie R. McClelland,Sebastien Ourselin,Sascha E. A. Muenzing,Max A. Viergever,Dante De Nigris,D. L. Collins,Tal Arbel,M. Peroni,Rui Li,Gregory C. Sharp,Alexander Schmidt-Richberg,Jan Ehrhardt,René Werner,Dirk Smeets,Dirk Loeckx,Gang Song,Nicholas J. Tustison,Brian B. Avants,James C. Gee,Marius Staring,Stefan Klein,Berend C. Stoel,Martin Urschler,Manuel Werlberger,Jef Vandemeulebroucke,Simon Rit,David Sarrut,Josien P. W. Pluim +53 more
TL;DR: The organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups are detailed.
Journal ArticleDOI
Model-Based Detection of Tubular Structures in 3D Images
TL;DR: In this article, a multiscale analysis for extracting vessels of different sizes according to the scale of the image is presented. But the method is not suitable for the detection of tubular structures.
Journal ArticleDOI
Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation
Olivier Clatz,Maxime Sermesant,Pierre-Yves Bondiau,Hervé Delingette,Simon K. Warfield,Grégoire Malandain,Nicholas Ayache +6 more
TL;DR: A new model to simulate the three-dimensional (3-D) growth of glioblastomas multiforma (GBMs), the most aggressive glial tumors, and a new coupling equation taking into account the mechanical influence of the tumor cells on the invaded tissues are proposed.