Michal Marcinkiewicz

20 papers A* 1B 2C 3Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 A* conf
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours.
DAC
Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
2024 J jnl
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours.
CoRR
Feiwen Zhu, Arkadiusz Nowaczynski, Rundong Li, Jie Xin, Yifei Song, Michal Marcinkiewicz, Sukru Burc Eryilmaz, Jun Yang, Michael Andersch
2023 B conf
FastDimeNet++: Training DimeNet++ in 22 minutes.
ICPP
Feiwen Zhu, Michal Futrega, Han Bao, Sukru Burc Eryilmaz, Fei Kong, Kefeng Duan, Xinnian Zheng, Nimrod Angel, Matthias Jouanneaux, Maximilian Stadler, Michal Marcinkiewicz, Fung Xie, June Yang, Michael Andersch
2022 — conf
Tuning U-Net for Brain Tumor Segmentation.
BrainLes@MICCAI
Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
2021 — conf
Brain Tumor Segmentation Using Neural Network Topology Search.
BrainLes@MICCAI (1)
Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
2021 — conf
Optimized U-Net for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta
2021 J jnl
Optimized U-Net for Brain Tumor Segmentation.
CoRR
Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta
2020 J jnl
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
Artif. Intell. Medicine
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
2020 J jnl
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks.
IEEE Access
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
2020 J jnl
Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation.
Microprocess. Microsystems
Jakub Nalepa, Marek Antoniak, Michal Myller, Pablo Ribalta Lorenzo, Michal Marcinkiewicz
2019 J jnl
Data Augmentation for Brain-Tumor Segmentation: A Review.
Frontiers Comput. Neurosci.
Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok
2019 B conf
Data Augmentation via Image Registration.
ICIP
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
2019 J jnl
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors.
CoRR
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
2019 — conf
Multi-modal U-Nets with Boundary Loss and Pre-training for Brain Tumor Segmentation.
BrainLes@MICCAI (2)
Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
2019 C conf
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans.
FedCSIS
Michal Marcinkiewicz, Grzegorz Mrukwa
2019 J jnl
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans.
CoRR
Michal Marcinkiewicz, Grzegorz Mrukwa
2019 C conf
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery.
IGARSS
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
2018 J jnl
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks.
CoRR
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
2018 C conf
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks.
DSD
Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
2018 — conf
Segmenting Brain Tumors from MRI Using Cascaded Multi-modal U-Nets.
BrainLes@MICCAI (2)
Michal Marcinkiewicz, Jakub Nalepa, Pablo Ribalta Lorenzo, Wojciech Dudzik, Grzegorz Mrukwa