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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
226
Références
349
Proportion d'Open Access
50 %
Mots-Clés
Irregularity
Phenotyping
Transfer learning
Data augmentation
Multispectral imaging
Artificial neural network
Cerebral palsy
Complexity
Acquisition
Older adults
Graph neural network
Imaging
Sample entropy
Basal ganglia
Quadratic assignment problem
Multivariate data
Baseline assessment criteria
Linear regression
Rehabilitation
COVID-19
Image classification
Empirical mode decomposition
Assessment
Laser speckle contrast imaging
Nonlinear dynamics
Microcirculation
Segmentation
Fuzzy entropy
Magnetic resonance imaging
Prediction
Réalité virtuelle
Age
Semantic segmentation
Graph matching
Improvement by noise
High-Density Electroencephalogram HD-EEG
Decoherence
Algorithm
Interaction Techniques
Epilepsy
Structural information
Image processing
Baclofen
Quantum estimation
Arduino
Humans
Computer vision
Automation
Deep learning
Social cognition
Image segmentation
Classification
Aster Satellite Images
Entropy
X-ray
Quantum noise
Machine learning
Morphological Operators
Sensory profile
FMRI
Texture
Identification
Arcuate fasciculus
Virtual reality
Multimodality
Fractal
Feature extraction
Neuroplasticity
Multiscale entropy
Plant phenotyping
Image analysis
RGB
Simulation
Adolescent
Hediste diversicolor
Laser Doppler flowmetry
Asymptotic efficiency
Stroke
Biomechanical changes
Brain
Blood flow
Neurosurgery
Alzheimer’s disease
Paralysie cérébrale
Road surface
Anemia
MRI
Noise benefit
Multicomponent Image
Stochastic resonance
Adult
Convolutional neural network
Vitamin D
Inexact graph matching
Electroencephalography
MATLAB
Quantum information
Time-frequency
Texture analysis
Awake surgery
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⟩