Noise Removal Based on Tensor Modelling for Hyperspectral Image Classification

Autor: Salah Bourennane, Caroline Fossati, Tao Lin

Publikováno v: Remote Sensing, Vol 10, Iss 9, p 1330 (2018)

With the current state-of-the-art computer aided manufacturing tools, the spatial resolution of hyperspectral sensors is becoming increasingly higher thus making it easy to obtain much more detailed information of the scene captured. However, the imp

Externí odkaz: https://doaj.org/article/7de1bb5bbf0c4900a31f5ddb5a3ee622

Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18 F-FDG Brain PET Imaging

Autor: Caroline Fossati, Mouloud Adel, Julien Wojak, Xiaoxi Pan, Eric Guedj, Trong-Le Phan, Thierry Gaidon

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, 2021, 40 (1), pp.81-92. ⟨10.1109/TMI.2020.3022591⟩
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2021, 40 (1), pp.81-92. ⟨10.1109/TMI.2020.3022591⟩

International audience; Alzheimer's Disease (AD), one of the main causes of death in elderly people, is characterize by Mild Cognitive Impairment (MCI) at prodromal stage. Nevertheless, only part of MCI subjects could progress to AD. The main objecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f03748a029bbf909485bee45c3d3e1d1
https://hal.science/hal-03627176

High-Resolution Algorithm for Image Segmentation in the Presence of Correlated Noise

Autor: Haiping Jiang, Salah Bourennane, Caroline Fossati

Publikováno v: Journal of Electrical and Computer Engineering, Vol 2010 (2010)

Multiple line characterization is a most common issue in image processing. A specific formalism turns the contour detection issue of image processing into a source localization issue of array processing. However, the existing methods do not address c

Externí odkaz: https://doaj.org/article/88bbb213e2894b66aac6aa1ef1bf2277

About Advances in Tensor Data Denoising Methods

Autor: Salah Bourennane, Caroline Fossati, Julien Marot

Publikováno v: EURASIP Journal on Advances in Signal Processing, Vol 2008 (2008)

Tensor methods are of great interest since the development of multicomponent sensors. The acquired multicomponent data are represented by tensors, that is, multiway arrays. This paper presents advances on filtering methods to improve tensor data deno

Externí odkaz: https://doaj.org/article/565422d387d349deb1f28d5574092f4b

First and Second Order Gradients for Alzheimer's Disease Diagnosis

Autor: Xiaoxi Pan, Eric Guedj, Thierry Gaidon, Julien Wojak, Caroline Fossati, Mouloud Adel

Publikováno v: 2019 5th International Conference on Frontiers of Signal Processing (ICFSP)
2019 5th International Conference on Frontiers of Signal Processing (ICFSP), Sep 2019, Marseille, France. pp.95-99, ⟨10.1109/ICFSP48124.2019.8938031⟩

Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an effective modality in Alzheimer's disease (AD) diagnosis since it can capture the metabolism changes in the brain, even in the early stage of AD, which is known as Mild Cognitive Impairm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9428b9b22d6df0e8d7ebb9ebf13f1e18
https://doi.org/10.1109/icfsp48124.2019.8938031