Maciej Bobowicz

According to our database, Maciej Bobowicz authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Federated nnU-Net for Privacy-Preserving Medical Image Segmentation.

Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla, Lidia Garrucho, Dimitri A. Kessler, Esmeralda Ruiz Pujadas, Oliver Díaz, Maciej Bobowicz, Katarzyna Gwozdziewicz, Xavier Bargalló, Paulius Jarusevicius, Kaisar Kushibar, Karim Lekadir

CoRR, March, 2025

Accuracy is Not Enough: Multi-Head Gated Attention Multiple Instance Learning Model for Explainable Breast Cancer Diagnosis.

Jakub Buler, Rafal Buler, Maciej Bobowicz, Michal Grochowski

IEEE Access, 2025

2024

Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions.

Katerina Nikiforaki, Ioannis Karatzanis, Aikaterini Dovrou, Maciej Bobowicz, Katarzyna Gwozdziewicz, Oliver Díaz, Manolis Tsiknakis, Dimitrios I. Fotiadis, Karim Lekadir, Kostas Marias

J. Imaging, May, 2024

Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images.

Maciej Bobowicz, Mikolaj Badocha, Katarzyna Gwozdziewicz, Marlena Rygusik, Paulina Kalinowska, Edyta Szurowska, Tomasz Dziubich

Int. J. Medical Informatics, 2024

MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations.

Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, 2024

2023

Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models.

Jakub Buler, Rafal Buler, Maciej Bobowicz, Maria Ferlin, Marlena Rygusik, Arkadiusz Kwasigroch, Michal Grochowski

Proceedings of the 27th International Conference on Methods and Models in Automation and Robotics, 2023

2022

High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection.

Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir

CoRR, 2022