Parallel algorithm for 3D modeling of monochromatic acoustic field by the method of integral equations. - Mikhail S. Malovichko; Nikolay I. Khokhlov; Nikolay B. Yavich; Michael S. Zhdanov (Supercomput. Front. Innov., 2016)

Approximate solutions of acoustic 3D integral equation and their application to seismic modeling and full-waveform inversion. - Mikhail S. Malovichko; Nikolay I. Khokhlov; Nikolay B. Yavich; Michael S. Zhdanov (J. Comput. Phys., 2017)

Acoustic 3D modeling by the method of integral equations. - Mikhail S. Malovichko; Nikolay I. Khokhlov; Nikolay B. Yavich; Michael S. Zhdanov (Comput. Geosci., 2018)

Deep Learning for Non-invasive Cortical Potential Imaging. - Alexandra Razorenova; Nikolay B. Yavich; Mikhail S. Malovichko; Maxim V. Fedorov; Nikolay A. Koshev; Dmitry V. Dylov (MLCN/RNO-AI@MICCAI, 2020)

Contraction operator transformation for the complex heterogeneous Helmholtz equation. - Nikolay B. Yavich; Nikolay I. Khokhlov; Mikhail S. Malovichko; Michael S. Zhdanov (Comput. Math. Appl., 2021)

Electroencephalographic Source Reconstruction by the Finite-Element Approximation of the Elliptic Cauchy Problem. - Mikhail S. Malovichko; Nikolay A. Koshev; Nikolay B. Yavich; Alexandra Razorenova; Maxim V. Fedorov (IEEE Trans. Biomed. Eng., 2021)

PDE-constrained optimization for electroencephalographic source reconstruction. - Mikhail S. Malovichko; Nikolay B. Yavich; Alexandra Razorenova; Nikolay A. Koshev (CoRR, 2022)

Application of Optimal Control to Inversion of Self-Potential Data: Theory and Synthetic Examples. - Mikhail S. Malovichko; Andrey V. Tarasov; Nikolay B. Yavich; Konstantin V. Titov (IEEE Trans. Geosci. Remote. Sens., 2022)

Conservative Finite Element Modeling of EEG and MEG on Unstructured Grids. - Nikolay B. Yavich; Nikolay A. Koshev; Mikhail S. Malovichko; Alexandra Razorenova; Maxim V. Fedorov (IEEE Trans. Medical Imaging, 2022)

Yttrium-Iron Garnet Magnetometer in MEG: Advance towards Multi-Channel Arrays. - Ekaterina Skidchenko; Anna Butorina; Maxim Ostras; Petr Vetoshko; Alexey Kuzmichev; Nikolay B. Yavich; Mikhail S. Malovichko; Nikolay A. Koshev (Sensors, 2023)

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation. - Sergei Shumilin; Alexander Ryabov; Nikolay B. Yavich; Evgeny Burnaev; Vladimir Vanovskiy (ICML, 2024)