Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Jakub Nalepa (DSD, 2018)

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. - Michal Marcinkiewicz; Jakub Nalepa; Pablo Ribalta Lorenzo; Wojciech Dudzik; Grzegorz Mrukwa (BrainLes@MICCAI (2), 2018)

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Lukasz Tulczyjew; Michal Marcinkiewicz; Jakub Nalepa (CoRR, 2018)

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. - Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Jakub Nalepa (BrainLes@MICCAI (2), 2019)

Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. - Michal Marcinkiewicz; Grzegorz Mrukwa (FedCSIS, 2019)

Data Augmentation via Image Registration. - Jakub Nalepa; Marcin Cwiek; Wojciech Dudzik; Michal Kawulok; Michael P. Hayball; Grzegorz Mrukwa; Szymon Piechaczek; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Pawel Ulrych; et al. (ICIP, 2019)

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. - Michal Marcinkiewicz; Michal Kawulok; Jakub Nalepa (IGARSS, 2019)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - Jakub Nalepa; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Maksym Walczak; Michal Kawulok; Wojciech Dudzik; Grzegorz Mrukwa; Pawel Ulrych; Michael P. Hayball (CoRR, 2019)

Data Augmentation for Brain-Tumor Segmentation: A Review. - Jakub Nalepa; Michal Marcinkiewicz; Michal Kawulok (Frontiers Comput. Neurosci., 2019)

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. - Pablo Ribalta Lorenzo; Lukasz Tulczyjew; Michal Marcinkiewicz; Jakub Nalepa (IEEE Access, 2020)

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. - Jakub Nalepa; Pablo Ribalta Lorenzo; Michal Marcinkiewicz; Barbara Bobek-Billewicz; Pawel Wawrzyniak; Maksym Walczak; Michal Kawulok; Wojciech Dudzik; Krzysztof Kotowski; Izabela Burda; Bartosz Machura; Grzegorz Mrukwa; et al. (Artif. Intell. Medicine, 2020)

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. - Jakub Nalepa; Marek Antoniak; Michal Myller; Pablo Ribalta Lorenzo; Michal Marcinkiewicz (Microprocess. Microsystems, 2020)

Optimized U-Net for Brain Tumor Segmentation. - Michal Futrega; Alexandre Milesi; Michal Marcinkiewicz; Pablo Ribalta (BrainLes@MICCAI (2), 2021)

Brain Tumor Segmentation Using Neural Network Topology Search. - Alexandre Milesi; Michal Futrega; Michal Marcinkiewicz; Pablo Ribalta (BrainLes@MICCAI (1), 2021)

Tuning U-Net for Brain Tumor Segmentation. - Michal Futrega; Michal Marcinkiewicz; Pablo Ribalta (BrainLes@MICCAI, 2022)

FastDimeNet++: Training DimeNet++ in 22 minutes. - Feiwen Zhu; Michal Futrega; Han Bao 018; Sukru Burc Eryilmaz; Fei Kong; Kefeng Duan; Xinnian Zheng; Nimrod Angel; Matthias Jouanneaux; Maxmilian Stadler; Michal Marcinkiewicz; Fung Xie; et al. (ICPP, 2023)

ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. - Feiwen Zhu; Arkadiusz Nowaczynski; Rundong Li; Jie Xin; Yifei Song; Michal Marcinkiewicz; Sukru Burc Eryilmaz; Jun Yang; Michael Andersch (DAC, 2024)