Modelling of Seismic Wave Propagation for 2D Media (Direct and Inverse Problems). - V. G. Khajdukov; Vladimir D. Korneev; Victor I. Kostin; V. V. Kovalevsky; Victor E. Malyshkin; Vladimir A. Tcheverda; Dmitry M. Vishnevsky (PaCT, 1997)

A hybrid parallel algorithm for simulating seismic wave propagation in complex 3D models containing intrusions. - Viktor I. Kostin; Vadim V. Lisitsa; Galina V. Reshetova; Vladimir A. Tcheverda; Dmitry M. Vishnevsky (SpringSim (HPC), 2013)

Parallel Algorithm for One-Way Wave Equation Based Migration for Seismic Imaging. - Alexander L. Pleshkevich; Dmitry M. Vishnevsky; Vadim V. Lisitsa; Vadim D. Levchenko (RuSCDays, 2018)

Parallel GPU-based Implementation of One-Way Wave Equation Migration. - Alexander L. Pleshkevich; Vadim V. Lisitsa; Dmitry M. Vishnevsky; Vadim D. Levchenko; Boris M. Moroz (Supercomput. Front. Innov., 2018)

Machine Learning-Based Numerical Dispersion Mitigation in Seismic Modelling. - Kirill Gadylshin; Vadim V. Lisitsa; Kseniia Gadylshina; Dmitry M. Vishnevsky; Mikhail Novikov (ICCSA (1), 2021)

Numerical Algorithm of Seismic Wave Propagation and Seismic Attenuation Estimation in Anisotropic Fractured Porous Fluid-Saturated Media. - Mikhail Novikov; Vadim V. Lisitsa; Tatyana Khachkova; Galina V. Reshetova; Dmitry M. Vishnevsky (ICCSA (1), 2021)

A multi-level parallel algorithm for seismic imaging based on one-way wave equation migration. - Alexander L. Pleshkevich; Vadim V. Lisitsa; Dmitry M. Vishnevsky; Vadim D. Levchenko (Comput. Math. Appl., 2021)

Optimization of the Training Dataset for Numerical Dispersion Mitigation Neural Network. - Kirill Gadylshin; Vadim V. Lisitsa; Kseniia Gadylshina; Dmitry M. Vishnevsky (ICCSA (Workshops 2), 2022)

Frequency Domain Numerical Dispersion Mitigation Network. - Kirill Gadylshin; Vadim V. Lisitsa; Kseniia Gadylshina; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2023)

Adaptive Data-Based Optimization of the Training Dataset for the NDM-net. - Kirill Gadylshin; Vadim V. Lisitsa; Kseniia Gadylshina; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2023)

Numerical Dispersion Mitigation Neural Network with the Model-Based Training Dataset Optimization. - Elena Gondyul; Vadim V. Lisitsa; Kirill Gadylshin; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2023)

Hausdorff-distance-based training dataset construction for numerical dispersion mitigation neural network. - Kirill Gadylshin; Vadim V. Lisitsa; Dmitry M. Vishnevsky; Kseniia Gadylshina (Comput. Geosci., 2023)

Effective Numerical Dispersion Suppression in 3D Seismic Modeling. - Kirill Gadylshin; Vadim V. Lisitsa; Kseniia Gadylshina; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2024)

NDM-Net and Model Changes. - Elena Gondyul; Kirill Gadylshin; Vadim V. Lisitsa; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2024)

Reducing Numerical Dispersion in Pseudo-3D Space and Constructing Training Dataset. - Elena Gondyul; Kirill Gadylshin; Vadim V. Lisitsa; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2024)

Monitoring CO2 in Seismic Data Using Neural Network. - Elena Gondyul; Vadim V. Lisitsa; Dmitry M. Vishnevsky (ICCSA (Workshops 3), 2025)

Numerical dispersion mitigation neural network with velocity model correction. - Elena Gondyul; Vadim V. Lisitsa; Kirill Gadylshin; Dmitry M. Vishnevsky (Comput. Geosci., 2025)