159 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institute of Applied PhysicsMD3 papers
- Central European Institute of TechnologyCZ1 paper
- Central European Institute of Technology – Masaryk UniversityCZ1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- École Normale Supérieure - PSLFR1 paper
- Institute of Bioorganic ChemistryBY1 paper
- Lomonosov Moscow State UniversityRU1 paper
- Masaryk UniversityCZ1 paper
- N. I. Lobachevsky State University of Nizhny NovgorodRU1 paper
- Nizhny Novgorod Regional Clinical Oncology CenterRU1 paper
- Nizhny Novgorod Research Institute of Traumatology and OrthopedicsRU1 paper
- Nizhny Novgorod State Agricultural AcademyRU1 paper
5 papers
Using machine learning algorithms to determine the post-COVID state of a person by his rhythmogram
Sergey Stasenko, Andrey Kovalchuk, Eremin Evgeny +5
In this study we applyed machine-learning algorithms to determine the post-COVID state of a person. During the study, a marker of the post-COVID state of a person was found in the…
Detecting T-cell receptors involved in immune responses from single repertoire snapshots
Mikhail V Pogorelyy, Anastasia A Minervina, Mikhail Shugay +4
Hypervariable T-cell receptors (TCR) play a key role in adaptive immunity, recognising a vast diversity of pathogen-derived antigens. High throughput sequencing of TCR repertoires…
Implementation of deep learning algorithm for automatic detection of brain tumors using intraoperative IR-thermal mapping data
A. V. Makarenko, M. G. Volovik
The efficiency of deep machine learning for automatic delineation of tumor areas has been demonstrated for intraoperative neuronavigation using active IR-mapping with the use of th…
Hybrid M-mode-like OCT imaging of 3D microvasculature in vivo using reference-free processing of complex-valued B-scans
Lev A. Matveev, Vladimir Yu. Zaitsev, Grigory V. Gelikonov +6
We propose a novel OCT-based method for visualizing microvasculature in 3D using reference-free processing of individual complex-valued B-scans with highly overlapped A-scans. In t…
A model for simulating speckle-pattern evolution based on close to reality procedures used in spectral-domain OCT
V. Yu. Zaitsev, L. A. Matveev, A. L. Matveyev +2
A robust model for simulating speckle pattern evolution in optical coherence tomography (OCT) depending on the OCT system parameters and tissue deformation is reported. The model i…