Simple Atlas Selection Strategies for Liver Segmentation in CT Images. - Dominik Spinczyk; Agata Krason (ITIB (1), 2016)

Segmentation of abdominal organs in computed tomography using a generalized statistical shape model. - Agata Krason; Andre Woloshuk; Dominik Spinczyk (Comput. Medical Imaging Graph., 2019)

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features. - Krzysztof Kotowski; Damian Kucharski; Bartosz Machura; Szymon Adamski; Benjamín Gutiérrez-Becker; Agata Krason; Lukasz Zarudzki; Jean Tessier; Jakub Nalepa (Comput. Biol. Medicine, 2023)

Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients. - Jakub Nalepa; Krzysztof Kotowski; Bartosz Machura; Szymon Adamski; Oskar Bozek; Bartosz Eksner; Bartosz Kokoszka; Tomasz Pekala; Mateusz Radom; Marek Strzelczak; Lukasz Zarudzki; Agata Krason; et al. (Comput. Biol. Medicine, 2023)

Automated Hepatocellular Carcinoma Analysis in Multi-phase CT with Deep Learning. - Krzysztof Kotowski; Bartosz Machura; Damian Kucharski; Benjamín Gutiérrez-Becker; Agata Krason; Jean Tessier; Jakub Nalepa (CaPTion@MICCAI, 2024)

Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies. - Bartosz Machura; Damian Kucharski; Oskar Bozek; Bartosz Eksner; Bartosz Kokoszka; Tomasz Pekala; Mateusz Radom; Marek Strzelczak; Lukasz Zarudzki; Benjamín Gutiérrez-Becker; Agata Krason; Jean Tessier; et al. (Comput. Medical Imaging Graph., 2024)