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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 401 à 410 sur 1395 au total

Classical Analysis and ODEs

Convergence to line and surface energies in nematic liquid crystal colloids with external magnetic field

We use the Landau-de Gennes energy to describe a particle immersed into nematic liquid crystals with a constant applied magnetic field. We derive a limit energy in a regime where both line and point defects are present, showing quantitatively that…

François Alouges, Antonin Chambolle, Dominik Stantejsky

Calculus of Variations and Partial Differential Equations -

Life Sciences

CNS erythroblastic sarcoma: a potential emerging pediatric tumor type characterized by NFIA::RUNX1T1/3 fusions

Abstract Erythroblastic sarcoma (ES) (previously called chloroma or granulocytic sarcoma) are rare hematological neoplams characterized by the proliferation of myeloid blasts at extramedullary sites, and primarily involve the skin and soft tissue of…

Arnault Tauziède-Espariat, Lucille Lew-Derivry, Samuel Abbou, Alice Métais, Gaëlle Pierron, Stéphanie Reynaud, Julien Masliah-Planchon, Cassandra Mariet, Lauren Hasty, Volodia Dangouloff-Ros, Nathalie Boddaert, Marie Csanyi, Aude Aline-Fardin, Claire Lamaison, Fabrice Chrétien, Kévin Beccaria, Stéphanie Puget, Pascale Varlet

Acta Neuropathologica Communications -

Signal and Image processing

d_symb playground: an interactive tool to explore large multivariate time series datasets

Exploring and comparing non-stationary multivariate time series is an important problem in many domains and real-world applications. In recent work, we introduced d_symb, a symbolic representation that transforms multivariate time series into…

Sylvain W Combettes, Paul Boniol, Charles Truong, Laurent Oudre

2024 IEEE 40th International Conference on Data Engineering (ICDE) -

Biological Physics

Visualising the self-assembly dynamics of icosahedral viruses through fluorescence microscopy at the single-particle level

All viruses on Earth use the machinery of host cells to replicate themselves. Therefore, there is a lot of ongoing work to understand the dynamics of the self-assembly process that forms viral capsids from proteins and nucleic acids. Recent research…

Thomas Bugea, Laetitia Gargowitsch, Charles Truong, Karen Perronet, Guillaume Tresset

68th Biophysical Society Annual Meeting -

Life Sciences

Cross-modality mapping using image varifolds to align tissue-scale atlases to molecular-scale measures with application to 2D brain sections

This paper explicates a solution to building correspondences between molecular-scale transcriptomics and tissue-scale atlases. This problem arises in atlas construction and cross-specimen/technology alignment where specimens per emerging technology…

Kaitlin M Stouffer, Alain Trouvé, Laurent Younes, Michael Kunst, Lydia Ng, Hongkui Zeng, Manjari Anant, Jean Fan, Yongsoo Kim, Xiaoyin Chen, Mara Rue, Michael I Miller

Nature Communications -

Computer Science

Data enabled Predictive Control of LPV systems

This paper introduces a data-enabled predictive control methodology designed for Linear Parameter Varying (LPV) systems. By leveraging a polytopic representation of the LPV system, we formulate Willem’s lemma to accommodate parameter variations. The…

Taleb Bou Hamdan, Patrick Coirault, Guillaume Mercère, Thibault Dairay

Control Engineering Practice -

Artificial Intelligence

Contrastive learning: an efficient Domain Adaptation strategy for 2D mammography image classification

Effective computer aided breast-cancer diagnosis models using 2D mammography images must maintain consistent performance across varying image acquisition systems and post-processing techniques. Nevertheless, Deep Learning (DL) models have shown…

Gonzalo Iñaki Quintana, Vincent Jugnon, Laurence Vancamberg, Agnès Desolneux, Mathilde Mougeot

2024 IEEE 21st International Symposium on Biomedical Imaging (ISBI) -

Mathematics

On the local geometry of the pet reconstruction problem

Intrinsic uncertainties related to the ill-posedness of the PET image reconstruction inverse problem are investigated in this work. These uncertainties could lead to instabilities in the reconstructed images in particular when Deep Learning…

Ramy Merabet, Florent Sureau, Alain Trouvé

Artificial Intelligence

Symbolic representations of time series

The objectives of this thesis are to define novel symbolic representations and distance measures that are suited for time series that can be multivariate and non-stationary. In addition, they should preserve the time information, be interpretable,…

Sylvain Combettes