Author

M. Malovichko

Moscow Institute of Physics and TechnologyORCID 0000-0002-7618-0998Unclaimed ORCID profile · follow to get notified of new preprints

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M. Malovichko1 paper

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Nikolay B. YavichiD· 2 shared Nikolay KosheviD· 2 shared Alexandra M. RazorenovaiD· 1 shared Alexey N. KuzmicheviD· 1 shared Anna V. ButorinaiD· 1 shared Dmitry V. DyloviD· 1 shared Ekaterina SkidchenkoiD· 1 shared Maxim OstrasiD· 1 shared

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2020-2023 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Nikolay B. YavichORCID

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2 papers

Recent·Most cited

NeuroscienceSensorsPeer-reviewedApr 25, 2023

Yttrium-iron garnet magnetometer in MEG: Advance towards multi-channel arrays

Ekaterina Skidchenko, Anna V. Butorina, Maxim Ostras…·Nikolay Koshev

The paper evaluates the performance of yttrium-iron garnet magnetometers in MEG by analyzing lead-field matrices and comparing signal metrics to existing systems.

12 citations

imagingstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintJun 15, 2020

Deep Learning for Non-Invasive Cortical Potential Imaging

Alexandra M. Razorenova, Nikolay B. Yavich, M. Malovichko…·Dmitry V. Dylov

This paper introduces deep learning methods to improve EEG spatial resolution by translating scalp potentials to cortical sources using CNN-based solvers trained on synthetic data.

3 citations

electronic health recordsdeep learning

𝕏 PostBluesky