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R Deriche

Explore the profile of R Deriche including associated specialties, affiliations and a list of published articles. Areas
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Articles 6
Citations 136
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Recent Articles
1.
Cruciani F, Brusini L, Zucchelli M, Retuci Pinheiro G, Setti F, Boscolo Galazzo I, et al.
J Neural Eng . 2021 Jun; 18(4). PMID: 34181581
The mechanisms driving multiple sclerosis (MS) are still largely unknown, calling for new methods allowing to detect and characterize tissue degeneration since the early stages of the disease. Our aim...
2.
Megherbi T, Kachouane M, Oulebsir-Boumghar F, Deriche R
Comput Math Methods Med . 2014 Sep; 2014:476837. PMID: 25246940
Diffusion magnetic resonance imaging (dMRI) is the only technique to probe in vivo and noninvasively the fiber structure of human brain white matter. Detecting the crossing of neuronal fibers remains...
3.
Wassermann D, Bloy L, Kanterakis E, Verma R, Deriche R
Neuroimage . 2010 Jan; 51(1):228-41. PMID: 20079439
With the increasing importance of fiber tracking in diffusion tensor images for clinical needs, there has been a growing demand for an objective mathematical framework to perform quantitative analysis of...
4.
Lenglet C, Campbell J, Descoteaux M, Haro G, Savadjiev P, Wassermann D, et al.
Neuroimage . 2008 Dec; 45(1 Suppl):S111-22. PMID: 19063977
In this article, we review recent mathematical models and computational methods for the processing of diffusion Magnetic Resonance Images, including state-of-the-art reconstruction of diffusion models, cerebral white matter connectivity analysis,...
5.
Cohen-Adad J, Descoteaux M, Rossignol S, Hoge R, Deriche R, Benali H
Neuroimage . 2008 Jun; 42(2):739-49. PMID: 18562214
Magnetic resonance diffusion tensor imaging (DTI) has been extensively applied to the spinal cord for depicting its architecture and for assessing its integrity following spinal lesions. However, DTI is limited...
6.
Tschumperle D, Deriche R
IEEE Trans Pattern Anal Mach Intell . 2005 Mar; 27(4):506-517. PMID: 15794157
In this paper, we focus on techniques for vector-valued image regularization, based on variational methods and PDEs. Starting from the study of PDE-based formalisms previously proposed in the literature for...