The EnrichMe Project - A Robotic Solution for Independence and Active Aging of Elderly People with MCI. - Claudia Salatino; Valerio Gower; Meftah Ghrissi; Adriana Tapus; Katarzyna Wieczorowska-Tobis; Aleksandra Suwalska; Paolo Barattini; Roberto Rosso; Giulia Munaro; Nicola Bellotto; Herjan van den Heuvel (ICCHP (1), 2016)

Preliminary study for a fully automated pre-gating method for high-dimensional mass cytometry data. - Aleksandra Suwalska; Joanna Polanska (BIBE, 2021)

Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data. - Aleksandra Suwalska; Nelita du Plessis-Burger; Gian van der Spuy; Joanna Polanska (IWBBIO (2), 2022)

CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network. - Aleksandra Suwalska; Yingzhe Wang; Ziyu Yuan; Yanfeng Jiang; Dongliang Zhu; Jinhua Chen; Mei Cui; Xingdong Chen; Chen Suo; Joanna Polanska (Comput. Biol. Medicine, 2022)

CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis. - Wojciech Prazuch; Aleksandra Suwalska; Marek Socha; Joanna Tobiasz; Pawel Foszner; Jerzy Jaroszewicz; Katarzyna Gruszczynska; Magdalena Sliwinska; Jerzy Walecki; Tadeusz Popiela; Grzegorz Przybylski; Andrzej Cieszanowski; et al. (CoRR, 2022)

POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021). - Aleksandra Suwalska; Joanna Tobiasz; Wojciech Prazuch; Marek Socha; Pawel Foszner; Jerzy Jaroszewicz; Katarzyna Gruszczynska; Magdalena Sliwinska; Jerzy Walecki; Tadeusz Popiela; Grzegorz Przybylski; Mateusz Nowak 003; et al. (CoRR, 2022)

Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People? - Slawomir Tobis; Joanna Piasek; Miroslawa Cylkowska-Nowak; Aleksandra Suwalska (Sensors, 2022)

BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images. - Wojciech Prazuch; Marek Socha; Anna Mrukwa; Aleksandra Suwalska; Agata Durawa; Malgorzata Jelitto-Górska; Katarzyna Dziadziuszko; Edyta Szurowska; Pawel Bozek; Michal Marczyk; Witold Rzyman; Joanna Polanska (CoRR, 2023)

Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support. - Joanna Zyla; Michal Marczyk; Wojciech Prazuch; Marek Socha; Aleksandra Suwalska; Agata Durawa; Malgorzata Jelitto-Górska; Katarzyna Dziadziuszko; Edyta Szurowska; Witold Rzyman; Piotr Widlak; Joanna Polanska (CoRR, 2023)

The Godspeed Questionnaire Series in the Assessment of the Social Robot TIAGo by Older Individuals. - Slawomir Tobis; Joanna Piasek-Skupna; Aleksandra Suwalska (Sensors, 2023)

Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis. - Marek Socha; Wojciech Prazuch; Aleksandra Suwalska; Pawel Foszner; Joanna Tobiasz; Jerzy Jaroszewicz; Katarzyna Gruszczynska; Magdalena Sliwinska; Mateusz Nowak 003; Barbara Gizycka; Gabriela Zapolska; Tadeusz Popiela; et al. (Comput. Methods Programs Biomed., 2023)

Activation maps of convolutional neural networks as a tool for brain degeneration tracking in early diagnosis of dementia in Parkinson's disease based on magnetic resonance imaging. - Aleksandra Suwalska; Joanna Siuda; Szymon Kocot; Weronika Zmuda; Monika Rudzinska-Bar; Joanna Polanska (Signal Image Video Process., 2023)