Dissimilarity-based time–frequency distributions as features for epileptic EEG signal classification

Autor: Frédéric Morain-Nicolier, Y. Ech-Choudany, B. Bellach, Jérôme Landré, Mustapha Assarar, Daniel Scida

Publikováno v: Biomedical Signal Processing and Control
Biomedical Signal Processing and Control, Elsevier, 2021, 64, pp.102268. ⟨10.1016/j.bspc.2020.102268⟩

This work aims at exploring a general framework embedding techniques from classifiers, Time–Frequency Distributions (TFD) and dissimilarity measures for epileptic seizures detection. The proposed approach consists firstly in computing dissimilariti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b73ce29bd21dc1b3b3afc822ff659a1
https://hal.archives-ouvertes.fr/hal-02973615

A Priori Knowledge Based Frequency–Domain Quantification of Magnetic Resonance Spectroscopy

Autor: Yu Guo, Su Ruan, Jean-Marc Constans, Jérôme Landré

Publikováno v: IFAC Proceedings Volumes. 42:210-215

Because of the overlapping of the spectra of different metabolites and the interference of the baseline mainly from broad resonances of macromolecule and lipids, it is difficult to achieve the quantification of spectra of different metabolites which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0615be4a7f7dc644d6f21b8459dbda72
https://doi.org/10.3182/20090812-3-dk-2006.0025

Localization of prostate cancer based on fuzzy fusion of multispectral MRI

Autor: Yu Guo, Yuanming Feng, Su Ruan, Xin Ming, Yu Zhang, Jérôme Landré

Publikováno v: xx
World Congress on Medical Physics and Biomedical Engineering
World Congress on Medical Physics and Biomedical Engineering, 2012, Beijing, China. pp.1844-1846
Jérôme LANDRÉ
HAL
IFMBE Proceedings ISBN: 9783642293047

Accurate prostate cancer localization with noninvasive imaging can be used to guide biopsy, radiotherapy and surgery as well as to monitor disease progression [1]. Published studies have shown multispectral magnetic resonance imaging (MRI), i.e., a c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4891e1886969cd2b264f588676da40e9
https://hal.science/hal-00949816

Binary pattern matching from a local dissimilarity measure

Autor: Jérôme Landré, Frédéric Morain-Nicolier, Su Ruan

Publikováno v: IPTA

This communication deals with finding the position of a reference shape in a given image. The proposed matcher is constructed from local dissimilarity maps. These maps allow to efficiently and robustly measure the differences between two images. It i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::44267be8d4b4424a931e230ada179cd1
https://doi.org/10.1109/ipta.2010.5586784

Magnetic Resonance Spectrum Separation Using Sparse Representations and Wavelet Filters

Autor: Yu Guo, Su Ruan, Jérôme LANDRÉ, Jean-Marc Constants

Publikováno v: SPARS'09-Signal Processing with Adaptive Sparse Structured Representations
SPARS'09-Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes-Bretagne Atlantique, Apr 2009, Saint Malo, France
HAL

International audience; Magnetic Resonance spectroscopy (MRS) provides a “frequency-signal intensity” spectrum of multiple peaks that reflect the biochemical composition of a localized region in the body. The peak intensity or the area under each

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76a0920138d687faab7a2b496e6be160
https://hal.inria.fr/inria-00369357/document