Different Types of White Matter Hyperintensities in CADASIL

Autor: Edouard Duchesnay, Fouad Hadj Selem, François De Guio, Mathieu Dubois, Jean-François Mangin, Marco Duering, Stefan Ropele, Reinhold Schmidt, Martin Dichgans, Hugues Chabriat, Eric Jouvent

Publikováno v: Frontiers in Neurology, Vol 9 (2018)

Objective: In CADASIL (Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy), white matter hyperintensities (WMH) are considered to result from hypoperfusion. We hypothesized that in fact the burden of WMH result

Externí odkaz: https://doaj.org/article/82a9d0114dc648cbaffa22950a1e3924

Attention-based Gated Recurrent Unit for Links Traffic Speed Forecasting

Autor: Mehdi Katranji, Fouad Hadj-Selem, Sami Kraiem, Walid Kheriji, Ghazaleh Khodabandelou

Publikováno v: ITSC

With urge of demands on efficient transport planning policies along with surge of travel flow volumes due to fast urbanization, traffic speed forecasting becomes a canonical and thriving research domain. Furthermore, the vehicles speed plays a critic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5e14f59900acaa65aee09c9f8e3269aa
https://doi.org/10.1109/itsc.2019.8917027

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity

Autor: Amicie de Pierrefeu, Marion Leboyer, Philippe Ciuciu, Fouad Hadj-Selem, Edouard Duchesnay, Josselin Houenou, Tommy Löfstedt, Charles Laidi

Publikováno v: PRNI
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2018, Singapore, Singapore. ⟨10.1109/PRNI.2018.8423946⟩

International audience; The use of machine-learning (ML) in neuroimaging offers new perspectives in early diagnosis and prognosis of brain diseases. Indeed, ML algorithms can jointly examine all brain features to capture complex relationships in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d54e41dcd63639b43610a415820cfa2
https://doi.org/10.1109/prni.2018.8423946

Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty

Autor: Vincent Frouin, Tommy Löfstedt, Renaud Jardri, Amicie de Pierrefeu, Philippe Ciuciu, Fouad Hadj-Selem, Mathieu Dubois, Thomas Fovet, Edouard Duchesnay

Publikováno v: IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, 37 (2), pp.396-407. ⟨10.1109/tmi.2017.2749140⟩
IEEE Transactions on Medical Imaging, 2018, 37 (2), pp.396-407. ⟨10.1109/tmi.2017.2749140⟩

International audience; Principal component analysis (PCA) is an exploratory tool widely used in data analysis to uncover dominant patterns of variability within a population. Despite its ability to represent a data set in a low-dimensional space, PC

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27276e14b51d345beafa3a13d80011e
https://hal-cea.archives-ouvertes.fr/cea-01883278

Existence and uniqueness of singular solution to stationary Schrödinger equation with supercritical nonlinearity

Autor: Fouad Hadj Selem, Juncheng Wei, Hiroaki Kikuchi

Publikováno v: Discrete & Continuous Dynamical Systems - A. 33:4613-4626

In this paper, we study a singular solution to the following elliptic equations: \begin{equation*} \left\{\begin{array}{ll} - \Delta u + |x|^{2}u - \lambda u - |u|^{p-1}u = 0, \quad x \in \mathbb{R}^{d}, & \\ u(x) > 0, \quad x \in \mathbb{R}^{d}, & \

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dc6e37062058849f3e7dcd9bcf27e7bd
https://doi.org/10.3934/dcds.2013.33.4613