Výsledky vyhledávání - "Damiano Lombardi"

Akademický článek

A greedy classifier optimization strategy to assess ion channel blocking activity and pro-arrhythmia in hiPSC-cardiomyocytes.

Autor: Fabien Raphel, Tessa De Korte, Damiano Lombardi, Stefan Braam, Jean-Frederic Gerbeau

Publikováno v: PLoS Computational Biology, Vol 16, Iss 9, p e1008203 (2020)

Novel studies conducting cardiac safety assessment using human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are promising but might be limited by their specificity and predictivity. It is often challenging to correctly classify io

Externí odkaz: https://doaj.org/article/e74a8a39906945059b899107129128eb

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Akademický článek

An Information-Theoretic Framework for Optimal Design: Analysis of Protocols for Estimating Soft Tissue Parameters in Biaxial Experiments

Autor: Ankush Aggarwal, Damiano Lombardi, Sanjay Pant

Publikováno v: Axioms, Vol 10, Iss 2, p 79 (2021)

A new framework for optimal design based on the information-theoretic measures of mutual information, conditional mutual information and their combination is proposed. The framework is tested on the analysis of protocols—a combination of angles alo

Externí odkaz: https://doaj.org/article/b40e60dd1e7d45ed85e320e9e4b3e738

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Akademický článek

Composite Biomarkers Derived from Micro-Electrode Array Measurements and Computer Simulations Improve the Classification of Drug-Induced Channel Block

Autor: Eliott Tixier, Fabien Raphel, Damiano Lombardi, Jean-Frédéric Gerbeau

Publikováno v: Frontiers in Physiology, Vol 8 (2018)

The Micro-Electrode Array (MEA) device enables high-throughput electrophysiology measurements that are less labor-intensive than patch-clamp based techniques. Combined with human-induced pluripotent stem cells cardiomyocytes (hiPSC-CM), it represents

Externí odkaz: https://doaj.org/article/5023db891b514ba98e2a309addd16331

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Akademický článek

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Fast semi-automatic segmentation based on reduced basis

Autor: Yvon Maday, Damiano Lombardi, Lydie Uro

Publikováno v: Comptes Rendus. Mathématique
Comptes Rendus. Mathématique, Académie des sciences (Paris), 2020, ⟨10.5802/crmath.89⟩
Comptes Rendus. Mathématique, 2020, ⟨10.5802/crmath.89⟩

International audience; This note adresses the following segmentation problem in medical imaging : minimize expert intervention for semi-automatic segmentation process. Using a reduced basis, we have an a priori knowledge of the objet we want to iden

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7606b201bbb186bc267ad94267d453a0
https://doi.org/10.5802/crmath.89

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A method to enrich experimental datasets by means of numerical simulations in view of classification tasks

Autor: Damiano Lombardi, Fabien Raphel

Publikováno v: ESAIM: Mathematical Modelling and Numerical Analysis
ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, In press
ESAIM: Mathematical Modelling and Numerical Analysis, EDP Sciences, 2021, 55 (5), pp.2259-2291. ⟨10.1051/m2an/2021060⟩
ESAIM: Mathematical Modelling and Numerical Analysis, 2021, 55 (5), pp.2259-2291. ⟨10.1051/m2an/2021060⟩

International audience; Classification tasks are frequent in many applications in science and engineering. A wide variety of statistical learning methods exist to deal with these problems. However, in many industrial applications, the number of avail

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0e9389fb1365be74aeb8d1eba9485bf
https://hal.inria.fr/hal-03186393

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Fast reconstruction of 3D blood flows from Doppler ultrasound images and reduced models

Autor: Jean-Frédéric Gerbeau, Olga Mula, Damiano Lombardi, Felipe Galarce

Publikováno v: Computer Methods in Applied Mechanics and Engineering
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, ⟨10.1016/j.cma.2020.113559⟩
Computer Methods in Applied Mechanics and Engineering, Elsevier, 2021, ⟨10.1016/j.cma.2020.113559.⟩
Computer Methods in Applied Mechanics and Engineering, 2021, ⟨10.1016/j.cma.2020.113559⟩

This paper deals with the problem of building fast and reliable 3D reconstruction methods for blood flows for which partial information is given by Doppler ultrasound measurements. This task is of interest in medicine since it could enrich the availa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc36c0c7affa49b7cb5cf7145c27338b
https://hal.archives-ouvertes.fr/hal-02403686

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Adaptive Hierarchical Subtensor Partitioning for Tensor Compression

Autor: Hao Song, Virginie Ehrlacher, Laura Grigori, Damiano Lombardi

Publikováno v: SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing, 2021, ⟨10.1137/19M128689X⟩
SIAM Journal on Scientific Computing, Society for Industrial and Applied Mathematics, 2021, ⟨10.1137/19M128689X⟩

International audience In this work a numerical method is proposed to compress a tensor by constructing a piece-wise tensor approximation. This is defined by partitioning a tensor into sub-tensors and by computing a low-rank tensor approximation (in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a15ed2a90d22ddcdcf985717bf1972ef

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State Estimation with Model Reduction and Shape Variability. Application to biomedical problems

Autor: Felipe Galarce, Damiano Lombardi, Olga Mula

We develop a mathematical and numerical framework to solve state estimation problems for applications that present variations in the shape of the spatial domain. This situation arises typically in a biomedical context where inverse problems are posed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::788ede79d89c7e060261b2610d49bbd3

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