Michal Marcinkiewicz

Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation

Jakub Nalepa, Michal Myller, Pablo Ribalta Lorenzo, 2020, Microprocess. Microsystems.

Data Augmentation for Brain-Tumor Segmentation: A Review

Jakub Nalepa, Michal Kawulok, Michal Marcinkiewicz, 2019, Front. Comput. Neurosci..

Data Augmentation via Image Registration

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks

Jakub Nalepa, Michal Marcinkiewicz, Lukasz Tulczyjew, 2020, IEEE Access.

Optimized U-Net for Brain Tumor Segmentation pdf

Michal Marcinkiewicz, Alexandre Milesi, Pablo Ribalta, 2021, BrainLes@MICCAI.

Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets

Jakub Nalepa, Wojciech Dudzik, Grzegorz Mrukwa, 2018, BrainLes@MICCAI.

Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors

Jakub Nalepa, Michal Kawulok, Wojciech Dudzik, 2019, Artif. Intell. Medicine.

Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks pdf

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, 2018, ArXiv.

Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation

Jakub Nalepa, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, 2019, BrainLes@MICCAI.