Aleksandra Suwalska

12 papers C 1Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
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.
Signal Image Video Process.
Aleksandra Suwalska, Joanna Siuda, Szymon Kocot, Weronika Zmuda, Monika Rudzinska-Bar, Joanna Polanska
2023 J jnl
BRONCO: Automated modelling of the bronchovascular bundle using the Computed Tomography Images.
CoRR
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
2023 J jnl
Combining low-dose CT-based radiomics and metabolomics for early lung cancer screening support.
CoRR
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
2023 J jnl
Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis.
Comput. Methods Programs Biomed.
Marek Socha, Wojciech Prazuch, Aleksandra Suwalska, Pawel Foszner, Joanna Tobiasz, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Mateusz Nowak, Barbara Gizycka, Gabriela Zapolska, Tadeusz Popiela, Grzegorz Przybylski, Piotr Fiedor, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Jerzy Walecki, Andrzej Cieszanowski, Edyta Szurowska, Michal Marczyk, Joanna Polanska
2023 J jnl
The Godspeed Questionnaire Series in the Assessment of the Social Robot TIAGo by Older Individuals.
Sensors
Slawomir Tobis, Joanna Piasek-Skupna, Aleksandra Suwalska
2022 J jnl
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis.
CoRR
Wojciech Prazuch, Aleksandra Suwalska, Marek Socha, Joanna Tobiasz, Pawel Foszner, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Jerzy Walecki, Tadeusz Popiela, Grzegorz Przybylski, Andrzej Cieszanowski, Mateusz Nowak, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Gabriela Zapolska, Barbara Gizycka, Edyta Szurowska, Michal Marczyk, Joanna Polanska
2022 J jnl
CMB-HUNT: Automatic detection of cerebral microbleeds using a deep neural network.
Comput. Biol. Medicine
Aleksandra Suwalska, Yingzhe Wang, Ziyu Yuan, Yanfeng Jiang, Dongliang Zhu, Jinhua Chen, Mei Cui, Xingdong Chen, Chen Suo, Joanna Polanska
2022 — conf
Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data.
IWBBIO (2)
Aleksandra Suwalska, Nelita du Plessis-Burger, Gian van der Spuy, Joanna Polanska
2022 J jnl
POLCOVID: a multicenter multiclass chest X-ray database (Poland, 2020-2021).
CoRR
Aleksandra Suwalska, Joanna Tobiasz, Wojciech Prazuch, Marek Socha, Pawel Foszner, Jerzy Jaroszewicz, Katarzyna Gruszczynska, Magdalena Sliwinska, Jerzy Walecki, Tadeusz Popiela, Grzegorz Przybylski, Mateusz Nowak, Piotr Fiedor, Malgorzata Pawlowska, Robert Flisiak, Krzysztof Simon, Gabriela Zapolska, Barbara Gizycka, Edyta Szurowska, Michal Marczyk, Andrzej Cieszanowski, Joanna Polanska
2022 J jnl
Robots in Eldercare: How Does a Real-World Interaction with the Machine Influence the Perceptions of Older People?
Sensors
Slawomir Tobis, Joanna Piasek, Miroslawa Cylkowska-Nowak, Aleksandra Suwalska
2021 C conf
Preliminary study for a fully automated pre-gating method for high-dimensional mass cytometry data.
BIBE
Aleksandra Suwalska, Joanna Polanska
2016 — conf
The EnrichMe Project - A Robotic Solution for Independence and Active Aging of Elderly People with MCI.
ICCHP (1)
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