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Michal Marcinkiewicz
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2020 – today
- 2024
- [c11]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. DAC 2024: 265:1-265:6 - [i5]Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch:
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours. CoRR abs/2404.11068 (2024) - 2023
- [c10]Feiwen Zhu
, Michal Futrega
FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP 2023: 274-284 - 2022
- [c9]Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta:
Tuning U-Net for Brain Tumor Segmentation. BrainLes@MICCAI 2022: 162-173 - 2021
- [c8]Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta:
Optimized U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2021: 15-29 - [c7]Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta:
Brain Tumor Segmentation Using Neural Network Topology Search. BrainLes@MICCAI (1) 2021: 366-376 - [i4]Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta:
Optimized U-Net for Brain Tumor Segmentation. CoRR abs/2110.03352 (2021) - 2020
- [j4]Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8: 42384-42403 (2020) - [j3]Jakub Nalepa
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102: 101769 (2020) - [j2]Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz:
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation. Microprocess. Microsystems 73: 102994 (2020)
2010 – 2019
- 2019
- [j1]Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok:
Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. 13: 83 (2019) - [c6]Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa:
Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation. BrainLes@MICCAI (2) 2019: 135-147 - [c5]Michal Marcinkiewicz, Grzegorz Mrukwa
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. FedCSIS 2019: 61-65 - [c4]Jakub Nalepa, Marcin Cwiek, Wojciech Dudzik, Michal Kawulok, Michael P. Hayball, Grzegorz Mrukwa, Szymon Piechaczek, Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Barbara Bobek-Billewicz
Data Augmentation via Image Registration. ICIP 2019: 4250-4254 - [c3]Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa:
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS 2019: 3336-3339 - [i3]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:
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. CoRR abs/1907.08303 (2019) - [i2]Michal Marcinkiewicz, Grzegorz Mrukwa:
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. CoRR abs/1909.08959 (2019) - 2018
- [c2]Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa:
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. DSD 2018: 260-267 - [c1]Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets. BrainLes@MICCAI (2) 2018: 13-24 - [i1]Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa:
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR abs/1811.02667 (2018)
Coauthor Index
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