Deep Neural Networks Approach to Microbial Colony Detection - A Comparative Analysis. - Sylwia Majchrowska; Jaroslaw Pawlowski; Natalia Czerep; Aleksander Górecki; Jakub Kucinski; Tomasz Golan (MIDI, 2021)

Waste detection in Pomerania: non-profit project for detecting waste in environment. - Sylwia Majchrowska; Agnieszka Mikolajczyk; Maria Ferlin; Zuzanna Klawikowska; Marta A. Plantykow; Arkadiusz Kwasigroch; Karol Majek (CoRR, 2021)

AGAR a microbial colony dataset for deep learning detection. - Sylwia Majchrowska; Jaroslaw Pawlowski; Grzegorz Gula; Tomasz Bonus; Agata Hanas; Adam Loch; Agnieszka Pawlak; Justyna Roszkowiak; Tomasz Golan; Zuzanna Drulis-Kawa (CoRR, 2021)

Modelling Arbitrary Complex Dielectric Properties - an automated implementation for gprMax. - Sylwia Majchrowska; Iraklis Giannakis; Craig Warren; Antonios Giannopoulos (CoRR, 2021)

gnlse-python: Open Source Software to Simulate Nonlinear Light Propagation In Optical Fibers. - Pawel Redman; Magdalena Zatorska; Adam Pawlowski; Daniel Szulc; Sylwia Majchrowska; Karol Tarnowski (CoRR, 2021)

Generation of microbial colonies dataset with deep learning style transfer. - Jaroslaw Pawlowski; Sylwia Majchrowska; Tomasz Golan (CoRR, 2021)

The (de)biasing Effect of GAN-Based Augmentation Methods on Skin Lesion Images. - Agnieszka Mikolajczyk; Sylwia Majchrowska; Sandra Carrasco Limeros (MICCAI (8), 2022)

Assessing GAN-Based Generative Modeling on Skin Lesions Images. - Sandra Carrasco Limeros; Sylwia Majchrowska; Mohamad Khir Zoubi; Anna Rosén; Juulia Suvilehto; Lisa Sjöblom; Magnus Kjellberg (MIDI, 2022)

Self-Normalized Density Map (SNDM) for Counting Microbiological Objects. - Krzysztof M. Graczyk; Jaroslaw Pawlowski; Sylwia Majchrowska; Tomasz Golan (CoRR, 2022)

Open Source HamNoSys Parser for Multilingual Sign Language Encoding. - Sylwia Majchrowska; Marta A. Plantykow; Milena Olech (CoRR, 2022)

GAN-based generative modelling for dermatological applications - comparative study. - Sandra Carrasco Limeros; Sylwia Majchrowska; Mohamad Khir Zoubi; Anna Rosén; Juulia Suvilehto; Lisa Sjöblom; Magnus Kjellberg (CoRR, 2022)

Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; Miguel Ángel Sotelo; David Fernández Llorca (CoRR, 2022)

Towards Explainable Motion Prediction using Heterogeneous Graph Representations. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; David Fernández Llorca (CoRR, 2022)

On the Importance of Sign Labeling: The Hamburg Sign Language Notation System Case Study. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniwska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (CoRR, 2023)

Unlocking the Heart Using Adaptive Locked Agnostic Networks. - Sylwia Majchrowska; Anders Hildeman; Philip Teare; Tom Diethe (CoRR, 2023)

Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs. - Sandra Carrasco Limeros; Sylwia Majchrowska; Joakim Johnander; Christoffer Petersson; Miguel Ángel Sotelo; David Fernández Llorca (CAAI Trans. Intell. Technol., 2024)

Quantifying inconsistencies in the Hamburg Sign Language Notation System. - Maria Ferlin; Sylwia Majchrowska; Marta A. Plantykow; Alicja Kwasniewska; Agnieszka Mikolajczyk-Barela; Milena Olech; Jakub Nalepa (Expert Syst. Appl., 2024)

Exploring interpretable echo analysis using self-supervised parcels. - Sylwia Majchrowska; Anders Hildeman; Ricardo Mokhtari; Tom Diethe; Philip Teare (Comput. Biol. Medicine, 2025)

Assessing microbial colony counting: A deep learning approach with the AGAR image dataset. - Sylwia Majchrowska; Jaroslaw Pawlowski; Grzegorz Gula; Tomasz Bonus; Agata Hanas; Adam Loch; Agnieszka Pawlak; Justyna Roszkowiak; Tomasz Golan; Zuzanna Drulis-Kawa (Neurocomputing, 2025)