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Bienvenue sur la collection HAL de l'équipe ISISV du LARIS
Direction | Jean-Baptiste FASQUEL
Référent·e HAL | Marie-Françoise GÉRARD
Fichiers
219
Références
347
Proportion d'Open Access
50 %
Mots-Clés
Rehabilitation
Neurosurgery
Brain
Artificial neural network
Segmentation
Brain mapping
Quadratic assignment problem
Image segmentation
Deep learning
Sensory profile
Arcuate fasciculus
Automation
MATLAB
FMRI
Brain lesion
Aster Satellite Images
COVID-19
Simulation
Réalité virtuelle
Entropy
Adolescent
Epilepsy
Magnetic resonance imaging
Social cognition
Graph neural network
Multicomponent Image
Virtual reality
Graph matching
Plant phenotyping
Sample entropy
Basal ganglia
Data augmentation
Multiscale entropy
Fractal
Texture analysis
Paralysie cérébrale
Vitamin D
Time-frequency
Hediste diversicolor
Awake surgery
Machine learning
Cerebral palsy
Biomechanical changes
Baclofen
RGB
Convolutional neural network
Prediction
Electroencephalography
High-Density Electroencephalogram HD-EEG
Algorithm
Asymptotic efficiency
Arduino
Semantic segmentation
Computer vision
Feature extraction
Texture
Complexity
Interaction Techniques
Identification
Multivariate data
Baseline assessment criteria
Image classification
Stochastic resonance
Stroke
Multimodality
Empirical mode decomposition
Image analysis
Decoherence
Laser Doppler flowmetry
Neuroplasticity
Fuzzy entropy
Microcirculation
Anemia
Nonlinear dynamics
Improvement by noise
Laser speckle contrast imaging
Age
Quantum estimation
Older adults
Noise benefit
Quantum noise
Multispectral imaging
Acquisition
Humans
Irregularity
Blood flow
Phenotyping
Morphological Operators
Imaging
Road surface
Inexact graph matching
Structural information
Image processing
Linear regression
Alzheimer’s disease
Adult
Assessment
Classification
MRI
Quantum information
Dernières 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⟩
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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⟩