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Bienvenue sur la collection HAL du LARIS
Direction | Sébastien LAHAYE
Référent·e HAL | Marie-Françoise GÉRARD
Fichiers
491
Références
839
Proportion d'Open Access
46 %
Actualités du Laboratoire
Medical image texture analysis through ordinal pattern-based bi-dimensional empirical mode decomposition and entropy measures associated with artificial intelligence
Mots-Clés
Fault detection
Quantum noise
Graph matching
Réalité virtuelle
Quadratic assignment problem
Estimation
Concrete
Performance
Optimisation
Degradation process
Identification
Image analysis
Microcirculation
Thermal modeling
Control
Durability
Prediction
Image processing
Graph neural network
Simulation
Brain
Machine Learning
Inverse problem
Aging
Max
Multiscale entropy
Accelerated testing
Discrete event systems
Older adults
Interaction Techniques
Inverse problems
Cerebral palsy
Feature extraction
Reliability
Bayesian network
Heat transfer
Detection
Thermal comfort
Social cognition
Complexité
Accelerated tests
Accelerated degradation test
Gamma process
Empirical mode decomposition
Partial differential equations
Modeling
Control chart
Stroke
Stochastic resonance
Conjugate gradient method
Decoherence
Optimization
Diagnostic
Machine learning
Heat recovery
Complex systems
Laser speckle contrast imaging
Irregularity
Max-plus algebra
Petri nets
Timed event graphs
Texture
Imaging
Numerical simulation
Degradation
Dioids
Fault diagnosis
Monitoring
Entropy
Electroencephalography
Cognition
Maintenance
COVID-19
Virtual reality
MATLAB
Classification
Awake surgery
Deep learning
Sample entropy
Interval analysis
Bayesian inference
Six Sigma
Diagnosis
Fiabilité
Nonlinear dynamics
State estimation
Correlation
MRI
Segmentation
Scheduling
Computer vision
Lean manufacturing
Parameter estimation
Algorithm
Conducted immunity
Epilepsy
Structural information
Complexity
Quantum information
Bayesian networks
Publications des équipes de recherche du LARIS
SDO | Systèmes Dynamiques et Optimisation ISISV | Information, Signal, Image et Sciences du Vivant SFD | Sûreté de Fonctionnement et aide à la DécisionDernières parutions
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Patty Coupeau, Jean-Baptiste Fasquel, Lucie Hertz-Pannier, Mickael Dinomais. GNN-based structural information to improve DNN-based basal ganglia segmentation in children following early brain lesion. Computerized Medical Imaging and Graphics, 2024, 115, pp.102396. ⟨10.1016/j.compmedimag.2024.102396⟩. ⟨hal-04575146⟩
Derniers dépôts
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Emma Lhermitte, Mickaël Dinomais, Rodrigo Araneda Oyaneder, Yannick Bleyenheuft, Andrea Guzetta, et al.. Validating stroke lesion segmentation methods using MRI in children : transferability of deep learning models. ISBI 2024 - 21st IEEE International Symposium on Biomedical Imaging, May 2024, Athènes, Greece. ⟨hal-04607398⟩
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Chiara Bara, Riccardo Pernice, Cristina Angela Catania, Mirvana Hilal, Alberto Porta, et al.. Comparison of entropy rate measures for the evaluation of time series complexity: simulations and application to heart rate and respiratory variability. Biocybernetics and Biomedical Engineering, 2024, 44 (2), pp.380-392. ⟨10.1016/j.bbe.2024.04.004⟩. ⟨hal-04562987⟩