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Welcome on HAL open archive of PaRis AI Research InstitutE
3AI Plan
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
The Prairie Institute (PaRis AI Research InstitutE) is one of the four French Institutes of Artificial Intelligence, which were created as part of the national French initiative on AI announced by President Emmanuel Macron on May 29, 2018.
A major part of this ambitious plan, which has a total budget of one billion euros, was the creation of a small number of interdisciplinary AI research institutes (or “3IAs” for “Instituts Interdisciplinaires d’Intelligence Artificielle”). After an open call for participation in July 2018 and two rounds of review by an international scientific committee, the Grenoble, Nice, Paris and Toulouse projects have officially received the 3IA label on April 24, 2019, with a total budget of 75 million Euros.
For more information about PaRis AI Research InstitutE, see our web site.
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Guanghui Fu, Lucia Nichelli, Dario Herran, Romain Valabregue, Agusti Alentorn, et al.. Comparing foundation models and nnU-Net for segmentation of primary brain lymphoma on clinical routine post-contrast T1-weighted MRI. SPIE Image Processing, SPIE, Feb 2025, San diego (Californie), United States. ⟨hal-04447318v4⟩
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Keywords
Literature
Computational Literary Studies
Representation learning
Action recognition
Cross-validation
Computer vision
Direct access
Algorithms
Kalman filter
Data imputation
Natural language processing
Phylodynamics
Medical imaging
Wavelets
MT
Segmentation
Validation
Alzheimer’s disease
Deep generative models
HIV
Image synthesis
FOS Computer and information sciences
Vision par ordinateur
Artificial intelligence
Clinical data warehouse
Electronic health records
Variational autoencoder
Microscopy
Classification
Mixture models
Prediction
Bias
Breast cancer
Adaptation
Language acquisition
Deep learning
Software
Shared task
Brain MRI
Longitudinal data
Transfer learning
Self-supervised learning
Exoplanet detection
Dementia
Curvature penalization
BERT
Computer Vision and Pattern Recognition csCV
Riemannian geometry
Clustering
Machine Learning
Hippocampus
Interpretability
Computational Pathology
Object detection
Alzheimer's Disease
Robotics
Simulation
Machine learning
Deep Learning
Reproducibility
Computational pathology
Evaluation
French
Optimization
MRI
RNA localization
Loss function
Neural networks
FOS Mathematics
Functional connectivity
Machine translation
LLMs
Ensemble learning
Deformable models
Convex optimization
Clinical Data Warehouse
Magnetic resonance imaging
Kernel methods
Brain
Reinforcement learning
Large language models
Multiple sclerosis
Cancer
Conjunctive queries
Computational modeling
Alzheimer's disease
Data visualization
Robustness
Computer Vision
Data Augmentation
Image processing
Portrait quality assessment
Whole slide images
Apprentissage automatique
Context aware machine translation
Online learning
Graph alignment
Apprentissage profond
Computational social choice
Neuroimaging
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