Michal Marcinkiewicz

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Tumor Segmentation

Convolutional Neural Networks

Top Venues

BrainLes@MICCAI (2)

Artif. Intell. Medicine

Publications

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 (2024)
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
FastDimeNet++: Training DimeNet++ in 22 minutes. ICPP (2023)
Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
Tuning U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2022)
Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta
Optimized U-Net for Brain Tumor Segmentation. CoRR (2021)
Michal Futrega, Alexandre Milesi, Michal Marcinkiewicz, Pablo Ribalta
Optimized U-Net for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2021)
Alexandre Milesi, Michal Futrega, Michal Marcinkiewicz, Pablo Ribalta
Brain Tumor Segmentation Using Neural Network Topology Search. BrainLes@MICCAI (1) (2021)
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 (2020)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks. IEEE Access 8 (2020)
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
Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif. Intell. Medicine 102 (2020)
Michal Marcinkiewicz, Michal Kawulok, Jakub Nalepa
Segmentation of Multispectral Data Simulated from Hyperspectral Imagery. IGARSS (2019)
Michal Marcinkiewicz, Grzegorz Mrukwa
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. FedCSIS (2019)
Michal Marcinkiewicz, Grzegorz Mrukwa
Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans. CoRR (2019)
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
Data Augmentation via Image Registration. ICIP (2019)
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 (2019)
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)
Jakub Nalepa, Michal Marcinkiewicz, Michal Kawulok
Data Augmentation for Brain-Tumor Segmentation: A Review. Frontiers Comput. Neurosci. 13 (2019)
Pablo Ribalta Lorenzo, Lukasz Tulczyjew, Michal Marcinkiewicz, Jakub Nalepa
Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks. CoRR (2018)
Pablo Ribalta Lorenzo, Michal Marcinkiewicz, Jakub Nalepa
Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks. DSD (2018)
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)