Author

Ourania Giannopoulou

University of Rome Tor VergataORCID 0000-0002-0773-2939Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

NeurosciencebioRxivPreprintMar 6, 2026

Modeling the inverse MEG problem in neuro-imaging using Physics Informed Neural Networks

Ourania Giannopoulou

This paper introduces a Physics-Informed Neural Network (PINN) framework for solving MEG forward and inverse problems, achieving a 30.2% improvement over standard Minimum Norm Estimation.

DOI 10.64898/2026.02.03.703484

imagingdeep learning

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