Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets. - Krzysztof Kotowski; Szymon Adamski; Wojciech Malara; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2020)

Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2021)

Non-parametric MRI Brain Atlas for the Polish Population. - Damian Borys; Marek Kijonka; Krzysztof Psiuk-Maksymowicz; Kamil Gorczewski; Lukasz Zarudzki; Maria Sokol; Andrzej Swierniak (Frontiers Neuroinformatics, 2021)

Federated Evaluation of nnU-Nets Enhanced with Domain Knowledge for Brain Tumor Segmentation. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Wojciech Malara; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI (2), 2022)

Infusing Domain Knowledge into nnU-Nets for Segmenting Brain Tumors in MRI. - Krzysztof Kotowski; Szymon Adamski; Bartosz Machura; Lukasz Zarudzki; Jakub Nalepa (BrainLes@MICCAI, 2022)

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)

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)