Automated Polyp Detection in Colon Capsule Endoscopy. - Alexander V. Mamonov; Isabel N. Figueiredo; Pedro N. Figueiredo; Yen-Hsi Richard Tsai (IEEE Trans. Medical Imaging, 2014)

Direct, Nonlinear Inversion Algorithm for Hyperbolic Problems via Projection-Based Model Reduction. - Vladimir Druskin; Alexander V. Mamonov; Andrew E. Thaler; Mikhail Zaslavsky (SIAM J. Imaging Sci., 2016)

Multiscale S-Fraction Reduced-Order Models for Massive Wavefield Simulations. - Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky (Multiscale Model. Simul., 2017)

Clustering of graph vertex subset via Krylov subspace model reduction. - Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky (CoRR, 2018)

A Nonlinear Method for Imaging with Acoustic Waves Via Reduced Order Model Backprojection. - Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky (SIAM J. Imaging Sci., 2018)

Reduced order models for spectral domain inversion: Embedding into the continuous problem and generation of internal data. - Liliana Borcea; Vladimir Druskin; Alexander V. Mamonov; Shari Moskow; Mikhail Zaslavsky (CoRR, 2019)

Robust nonlinear processing of active array data in inverse scattering via truncated reduced order models. - Liliana Borcea; Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky (J. Comput. Phys., 2019)

Reduced Order Model Approach to Inverse Scattering. - Liliana Borcea; Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky; Jörn T. Zimmerling (SIAM J. Imaging Sci., 2020)

Reduced order model approach for imaging with waves. - Liliana Borcea; Josselin Garnier; Alexander V. Mamonov; Jörn T. Zimmerling (CoRR, 2021)

Interpolatory tensorial reduced order models for parametric dynamical systems. - Alexander V. Mamonov; Maxim A. Olshanskii (CoRR, 2021)

Waveform inversion via reduced order modeling. - Liliana Borcea; Josselin Garnier; Alexander V. Mamonov; Jörn T. Zimmerling (CoRR, 2022)

Velocity estimation via model order reduction. - Alexander V. Mamonov; Liliana Borcea; Josselin Garnier; Jörn T. Zimmerling (CoRR, 2022)

Distance Preserving Model Order Reduction of Graph-Laplacians and Cluster Analysis. - Vladimir Druskin; Alexander V. Mamonov; Mikhail Zaslavsky (J. Sci. Comput., 2022)

Analysis of a tensor POD-ROM for parameter dependent parabolic problems. - Alexander V. Mamonov; Maxim A. Olshanskii (CoRR, 2023)

Waveform Inversion with a Data Driven Estimate of the Internal Wave. - Liliana Borcea; Josselin Garnier; Alexander V. Mamonov; Jörn T. Zimmerling (SIAM J. Imaging Sci., 2023)

Slice sampling tensor completion for model order reduction of parametric dynamical systems. - Alexander V. Mamonov; Maxim A. Olshanskii (CoRR, 2024)

When Data Driven Reduced Order Modeling Meets Full Waveform Inversion. - Liliana Borcea; Josselin Garnier; Alexander V. Mamonov; Jörn T. Zimmerling (SIAM Rev., 2024)

Tensorial Parametric Model Order Reduction of Nonlinear Dynamical Systems. - Alexander V. Mamonov; Maxim A. Olshanskii (SIAM J. Sci. Comput., 2024)

Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform Inversion. - Liliana Borcea; Josselin Garnier; Alexander V. Mamonov; Jörn T. Zimmerling (SIAM J. Imaging Sci., 2025)

A Priori Analysis of a Tensor ROM for Parameter Dependent Parabolic Problems. - Alexander V. Mamonov; Maxim A. Olshanskii (SIAM J. Numer. Anal., 2025)

Autoencoded UMAP-Enhanced Clustering for Unsupervised Learning. - Malihehsadat Chavooshi; Alexander V. Mamonov (CoRR, 2025)

Inverse scattering for Schrödinger equation in the frequency domain via data-driven reduced order modeling. - Andreas Tataris; Tristan van Leeuwen; Alexander V. Mamonov (CoRR, 2025)