C
Christian Barillot
Researcher at University of Rennes
Publications - 258
Citations - 9419
Christian Barillot is an academic researcher from University of Rennes. The author has contributed to research in topics: Segmentation & Image segmentation. The author has an hindex of 42, co-authored 256 publications receiving 8470 citations. Previous affiliations of Christian Barillot include French Institute of Health and Medical Research & Centre national de la recherche scientifique.
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Journal ArticleDOI
An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images
TL;DR: The results show that the optimized NL-means filter outperforms the classical implementation of the NL- means filter, as well as two other classical denoising methods and total variation minimization process in terms of accuracy with low computation time.
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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.
Journal ArticleDOI
Nonlocal Means-Based Speckle Filtering for Ultrasound Images
TL;DR: Results on real images demonstrate that the proposed adaptation of the nonlocal (NL)-means filter for speckle reduction in ultrasound (US) images is able to preserve accurately edges and structural details of the image.
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Interactive display and analysis of 3-D medical images
TL;DR: The ANALYZE software system, which permits detailed investigation and evaluation of 3-D biomedical images, is discussed, which is unique in its synergistic integration of fully interactive modules for direct display, manipulation, and measurement of multidimensional image data.