Élodie Germani

Centre National de la Recherche Scientifique — France

Computer Science · Physical Sciences

3h-index27citations35works1.22yr avg
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Research Topics

Neural Networks and Applications(10), Functional Brain Connectivity Studies(8), Advanced Statistical Methods and Models(5), Advanced MRI Techniques and Applications(4), AI in cancer detection(3)

Publications35 total

MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI
arXiv (Cornell University)·2025Open Access
Proceedings of the OHBM Hackathon 2023
Aperture Neuro·2025Open Access
HCP Multi-Pipeline: a derived dataset to investigate analytical variability in fMRI
Scientific Data·2025· 2 citedOpen Access
Bias and Generalizability of Foundation Models across Datasets in Breast Mammography
arXiv (Cornell University)·2025Open Access
Predicting Parkinson’s disease trajectory using clinical and functional MRI features: A reproduction and replication study
PLoS ONE·2025· 2 citedOpen Access
On the validity of fMRI mega-analyses using data processed with different pipelines
Imaging Neuroscience·2025· 2 citedOpen Access
Uncovering Communities Of Pipelines in the Task-FMRI Analytical Space
2024· 1 citedOpen Access
Exploring and mitigating analytical variability in fMRI results using representation learning
theses.fr (ABES)·2024Open Access
HCP multipipelines
2024· 3 cited
Mitigating analytical variability in fMRI results with style transfer
arXiv (Cornell University)·2024· 3 citedOpen Access
Proceedings of the OHBM Brainhack 2022
Aperture Neuro·2024· 2 citedOpen Access
Predicting Parkinson's disease trajectory using clinical and functional MRI features: a reproduction and replication study
arXiv (Cornell University)·2024Open Access
On the validity of fMRI studies with subject-level data processed through different pipelines
arXiv (Cornell University)·2024Open Access
The HCP multi-pipeline dataset: an opportunity to investigate analytical variability in fMRI data analysis
arXiv (Cornell University)·2023· 3 citedOpen Access
Uncovering communities of pipelines in the task-fMRI analytical space
arXiv (Cornell University)·2023Open Access
Presentation of the project 'Narps Open Pipeline'
SPIRE - Sciences Po Institutional REpository·2023Open Access
Exploring variability patterns in the task-fMRI analytical space
HAL (Le Centre pour la Communication Scientifique Directe)·2023Open Access
Representation learning for more reproducible fMRI data analyses
SPIRE - Sciences Po Institutional REpository·2023Open Access
On the benefits of self-taught learning for brain decoding
GigaScience·2022· 2 citedOpen Access
On the benefits of self-taught learning for brain decoding
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Camille Maumet(19), Élisa Fromont(9), Pierre Maurel(5), Fromont Elisa(5), Rémi Gau(3), Mathieu Dugré(3), Hugues Lelouard(3), Mathieu Fallet(3), Dalil Hamroun(2), Maura Mathieu(2), Elodie Clain(2), Martin Laliberté(2), François Laliberté(2), Claude Chevillard(2), Stefano Moia(2), Anibal Sólon Heinsfeld(2), Yufang Yang(2), Andrea Gondová(2), Sarah E. Goodale(2), Ömer Faruk Gülban(2)