Author

Edoardo Vecchi

Università della Svizzera italianaORCID 0000-0003-1264-456XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Illia HorenkoiD· 2 shared Steffen AlbrechtiD· 2 shared Albrecht StrohiD· 1 shared Alexander GerberiD· 1 shared Beate Rehbock· 1 shared Davide BassettiiD· 1 shared Gabriele Berra· 1 shared Heiko J. LuhmanniD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersNeuroscience

Illia HorenkoORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in NeurosciencePeer-reviewedApr 1, 2026

Spiking neural networks provide accurate, efficient and robust models for whisker stimulus classification and allow for inter-individual generalization

Steffen Albrecht, Jens R Vandevelde, Edoardo Vecchi…·Illia Horenko

The paper benchmarks spiking neural networks for whisker stimulus classification in mice, showing their accuracy, efficiency, and ability to generalize across individuals.

DOI 10.3389/fnins.2026.1605209

mouseelectronic health records

𝕏 PostBluesky

BioinformaticsbioRxivPreprintAug 10, 2021

Quality-preserving low-cost probabilistic 3D denoising with applications to Computed Tomography

Illia Horenko, Lukáš Pospíšil, Edoardo Vecchi…·Susanne Gerber

The paper introduces a probabilistic Mumford-Shah denoising model that effectively reduces noise in 3D images and 2D videos while maintaining quality and computational efficiency.

DOI 10.1101/2021.08.10.455778

imagingstatistical model

𝕏 PostBluesky