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