Michal Marcinkiewicz

According to our database, Michal Marcinkiewicz authored at least 16 papers between 2018 and 2023.

Collaborative distances:

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

2023

FastDimeNet++: Training DimeNet++ in 22 minutes.

Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maxmilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch

Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022

Tuning U-Net for Brain Tumor Segmentation.

Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Brain Tumor Segmentation Using Neural Network Topology Search.

Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

Optimized U-Net for Brain Tumor Segmentation.

Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

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

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, Pawel Ulrych, Michael P. Hayball

Artif. Intell. Medicine, 2020

Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

IEEE Access, 2020

2019

Data Augmentation for Brain-Tumor Segmentation: A Review.

Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok

Frontiers Comput. Neurosci., 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

Segmentation of Multispectral Data Simulated from Hyperspectral Imagery.

Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 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, Janusz Szymanek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans.

Michal Marcinkiewicz, Grzegorz Mrukwa

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

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

Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018

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

Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa

CoRR, 2018

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

Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks.

Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa

Proceedings of the 21st Euromicro Conference on Digital System Design, 2018