MV-PURE Estimator: Minimum-Variance Pseudo-Unbiased Reduced-Rank Estimator for Linearly Constrained Ill-Conditioned Inverse Problems. - Tomasz Piotrowski; Isao Yamada (IEEE Trans. Signal Process., 2008)

Why the stochastic MV-PURE estimator excels in highly noisy situations? - Tomasz Piotrowski; Isao Yamada (ICASSP, 2009)

Stochastic MV-PURE Estimator - Robust Reduced-Rank Estimator for Stochastic Linear Model. - Tomasz Piotrowski; Renato L. G. Cavalcante; Isao Yamada (IEEE Trans. Signal Process., 2009)

Efficient Parallel Computation of the Stochastic MV-PURE Estimator by the Hybrid Steepest Descent Method. - Tomasz Piotrowski; Isao Yamada (ICAISC (2), 2012)

Performance of the stochastic MV-PURE estimator with explicit modeling of uncertainty. - Tomasz Piotrowski; Isao Yamada (ICASSP, 2012)

MV-PURE estimator of dipole source signals in EEG. - Tomasz Piotrowski; Claudia C. Zaragoza-Martínez; David Gutiérrez; Isao Yamada (ICASSP, 2013)

A Family of Reduced-Rank Neural Activity Indices for EEG/MEG Source Localization. - Tomasz Piotrowski; David Gutiérrez; Isao Yamada; Jaroslaw Zygierewicz (Brain Informatics and Health, 2014)

Intelligent emotions stabilization system using standardized images, breath sensor and biofeedback - new concept. - Oleksandr Sokolov; Krzysztof Dobosz; Joanna Dreszer; Bibianna Balaj; Wlodzislaw Duch; Slawomir Grzelak; Tomasz Komendzinski; Dariusz Mikolajewski; Tomasz Piotrowski; Malgorzata Swierkocka; Piotr Weber (CICARE, 2014)

Reduced-rank neural activity index for EEG/MEG multi-source localization. - Tomasz Piotrowski; David Gutiérrez; Isao Yamada; Jaroslaw Zygierewicz (ICASSP, 2014)

Performance of the stochastic MV-PURE estimator in highly noisy settings. - Tomasz Piotrowski; Isao Yamada (J. Frankl. Inst., 2014)

Reconstruction of brain activity in EEG/MEG using reduced-rank nulling spatial filter. - Tomasz Piotrowski; Jan Nikadon; David Gutiérrez (SSP, 2016)

Reduced-rank estimation for ill-conditioned stochastic linear model with high signal-to-noise ratio. - Tomasz Piotrowski; Isao Yamada (J. Frankl. Inst., 2016)

Perception of non-native phoneme contrasts in 8-13 months infants: tensor-based analysis of EEG signals. - Mansoureh Aghabeig; Bibianna Balaj; Joanna Dreszer; Monika Lewandowska; Rafal Milner; Natalia Pawlaczyk; Tomasz Piotrowski; Magdalena Szmytke; Wlodzislaw Duch (EUSIPCO, 2019)

Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG. - Takehiro Kono; Masahiro Yukawa; Tomasz Piotrowski (ICASSP, 2019)

Iterative Neural Networks with Bounded Weights. - Tomasz Piotrowski; Krzysztof Rykaczewski (CoRR, 2019)

MV-PURE Spatial Filters With Application to EEG/MEG Source Reconstruction. - Tomasz Piotrowski; Jan Nikadon; David Gutiérrez (IEEE Trans. Signal Process., 2019)

History of positron emission tomography (PET) in Poland. - Paulina Cegla; Tomasz Piotrowski (Bio Algorithms Med Syst., 2021)

Localization of brain activity from EEG/MEG using MV-PURE framework. - Tomasz Piotrowski; Jan Nikadon; Alexander Moiseev (Biomed. Signal Process. Control., 2021)

Fixed points of monotonic and (weakly) scalable neural networks. - Tomasz Piotrowski; Renato L. G. Cavalcante (CoRR, 2021)

supFunSim: Spatial Filtering Toolbox for EEG. - Krzysztof Rykaczewski; Jan Nikadon; Wlodzislaw Duch; Tomasz Piotrowski (Neuroinformatics, 2021)

Inverse Solvability and Security with Applications to Federated Learning. - Tomasz Piotrowski; Matthias Frey; Renato L. G. Cavalcante; Rafail Ismayilov (CoRR, 2022)

Relaxed zero-forcing beamformer under temporally-correlated interference. - Takehiro Kono; Masahiro Yukawa; Tomasz Piotrowski (Signal Process., 2022)

The Fixed Point Iteration of Positive Concave Mappings Converges Geometrically if a Fixed Point Exists: Implications to Wireless Systems. - Tomasz Piotrowski; Renato Luís Garrido Cavalcante (IEEE Trans. Signal Process., 2022)

ToFFi - Toolbox for frequency-based fingerprinting of brain signals. - Michal K. Komorowski; Krzysztof Rykaczewski; Tomasz Piotrowski; Katarzyna Jurewicz; Jakub Wojciechowski; Anne Keitel; Joanna Dreszer; Wlodzislaw Duch (Neurocomputing, 2023)

Positive Concave Deep Equilibrium Models. - Mateusz Gabor; Tomasz Piotrowski; Renato L. G. Cavalcante (ICML, 2024)

Fixed points of nonnegative neural networks. - Tomasz Piotrowski; Renato L. G. Cavalcante; Mateusz Gabor (J. Mach. Learn. Res., 2024)

Inverse Feasibility in Over-the-Air Federated Learning. - Tomasz Piotrowski; Rafail Ismayilov; Matthias Frey; Renato L. G. Cavalcante (IEEE Signal Process. Lett., 2024)

Cellular, Cell-less, and Everything in Between: A Unified Framework for Utility Region Analysis in Wireless Networks. - Renato Luís Garrido Cavalcante; Tomasz Piotrowski; Slawomir Stanczak (CoRR, 2025)