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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
Portrait quality assessment
Brain MRI
Computational Literary Studies
Microscopy
MT
Whole slide images
Longitudinal data
Object detection
Neuroimaging
Brain
Data visualization
Data Augmentation
Online learning
Apprentissage profond
BERT
Direct access
French
Hippocampus
Software
Deep learning
Functional connectivity
Riemannian geometry
Robustness
Wavelets
Electronic health records
Reproducibility
Interpretability
Computational Pathology
Data imputation
Alzheimer's Disease
Large language models
Magnetic resonance imaging
Computer Vision
Natural language processing
Alzheimer’s disease
RNA localization
Exoplanet detection
Image processing
Clustering
Transfer learning
Mixture models
Literature
Computational modeling
Representation learning
Bias
Apprentissage automatique
Deep generative models
Clinical Data Warehouse
Kernel methods
Reinforcement learning
Cross-validation
Computer Vision and Pattern Recognition csCV
MRI
Algorithms
Simulation
Deformable models
Ensemble learning
Vision par ordinateur
HIV
Classification
Segmentation
Kalman filter
Computer vision
Shared task
Cancer
Machine Learning
Clinical data warehouse
Context aware machine translation
Robotics
Graph alignment
LLMs
Phylodynamics
FOS Mathematics
Loss function
Image synthesis
Evaluation
Machine learning
Neural networks
Artificial intelligence
FOS Computer and information sciences
Self-supervised learning
Action recognition
Machine translation
Medical imaging
Breast cancer
Multiple sclerosis
Validation
Alzheimer's disease
Computational social choice
Deep Learning
Prediction
Computational pathology
Conjunctive queries
Optimization
Curvature penalization
Language acquisition
Adaptation
Dementia
Convex optimization
Variational autoencoder
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