Search Results - "Marcinkiewicz, Michal"

Data Augmentation for Brain-Tumor Segmentation: A Review by Nalepa, Jakub, Marcinkiewicz, Michal, Kawulok, Michal

“…Data augmentation is a popular technique which helps improve generalization capabilities of deep neural networks, and can be perceived as implicit…”
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Hyperspectral Band Selection Using Attention-Based Convolutional Neural Networks by Ribalta Lorenzo, Pablo, Tulczyjew, Lukasz, Marcinkiewicz, Michal, Nalepa, Jakub

“…Hyperspectral imaging has become a mature technology which brings exciting possibilities in various domains, including satellite image analysis. However, the…”
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Terahertz imaging of Landau levels in HgTe-based topological insulators by Kadykov, Aleksandr M., Torres, Jeremie, Krishtopenko, Sergey S., Consejo, Christophe, Ruffenach, Sandra, Marcinkiewicz, Michal, But, Dmytro, Knap, Wojciech, Morozov, Sergey V., Gavrilenko, Vladimir I., Mikhailov, Nikolai N., Dvoretsky, Sergey A., Teppe, Frederic

“…We report on sub-terahertz photoconductivity under the magnetic field of a two dimensional topological insulator based on HgTe quantum wells. We perform a…”
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Experimental Observation of Temperature-Driven Topological Phase Transition in HgTe/CdHgTe Quantum Wells by Zholudev, Maksim S., Kadykov, Aleksandr M., Fadeev, Mikhail A., Marcinkiewicz, Michal, Ruffenach, Sandra, Consejo, Christophe, Knap, Wojciech, Torres, Jeremie, Morozov, Sergey V., Gavrilenko, Vladimir I., Mikhailov, Nikolay N., Dvoretskii, Sergey A., Teppe, Frederic

“…We report on the comparison between temperature-dependent magneto-absorption and magnetotransport spectroscopy of HgTe/CdHgTe quantum wells in terms of the…”
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Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation by Nalepa, Jakub, Antoniak, Marek, Myller, Michal, Ribalta Lorenzo, Pablo, Marcinkiewicz, Michal

“…Hyperspectral image analysis has been gaining research attention thanks to the current advances in sensor design which have made acquiring such imagery much…”
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Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors by Nalepa, Jakub, Ribalta Lorenzo, Pablo, Marcinkiewicz, Michal, Bobek-Billewicz, Barbara, Wawrzyniak, Pawel, Walczak, Maksym, Kawulok, Michal, Dudzik, Wojciech, Kotowski, Krzysztof, Burda, Izabela, Machura, Bartosz, Mrukwa, Grzegorz, Ulrych, Pawel, Hayball, Michael P.

“…•We introduce the first fully-automated system for DCE-MRI analysis of brain tumors.•We introduce the algorithms for tumor and vascular input region…”
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Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans by Marcinkiewicz, Michat, Mrukwa, Grzegorz

“…Over the last few years, deep learmng has proven to be a great solution to many problems, such as image or text classification. Recently, deep learning-based…”
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Data Augmentation via Image Registration by Nalepa, Jakub, Cwiek, Marcin, Dudzik, Wojciech, Kawulok, Michal, Hayball, Michael P., Mrukwa, Grzegorz, Piechaczek, Szymon, Lorenzo, Pablo Ribalta, Marcinkiewicz, Michal, Bobek-Billewicz, Barbara, Wawrzyniak, Pawel, Ulrych, Pawel, Szymanek, Janusz

“…Data augmentation helps improve generalization of deep neural networks, and can be perceived as implicit regularization. It is pivotal in scenarios in which…”
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Segmentation of Multispectral Data Simulated from Hyperspectral Imagery by Marcinkiewicz, Michal, Kawulok, Michal, Nalepa, Jakub

“…Hyperspectral satellite imaging has been gaining enormous research attention due to the latest advancements in the sensor technology, and the amount of…”
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Optimized U-Net for Brain Tumor Segmentation by Futrega, Michał, Milesi, Alexandre, Marcinkiewicz, Michal, Ribalta, Pablo

“…We propose an optimized U-Net architecture for a brain tumor segmentation task in the BraTS21 challenge. To find the optimal model architecture and the…”
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ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours by Zhu, Feiwen, Nowaczynski, Arkadiusz, Li, Rundong, Xin, Jie, Song, Yifei, Marcinkiewicz, Michal, Eryilmaz, Sukru Burc, Yang, Jun, Andersch, Michael

“…AlphaFold2 has been hailed as a breakthrough in protein folding. It can rapidly predict protein structures with lab-grade accuracy. However, its implementation…”
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Kształcenie protestanckich i niemieckich elit na przełomie XIX i XX w. na przykładzie absolwentów Królewskiego Gimnazjum w Ełku by Marcinkiewicz, Michał Stefan

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Segmentation of Hyperspectral Images Using Quantized Convolutional Neural Networks by Lorenzo, Pablo Ribalta, Marcinkiewicz, Michal, Nalepa, Jakub

“…Image segmentation is a pivotal task in hyperspectral image processing. Usually, it is performed in a setting where neither the environment nor the hardware…”
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Band Selection from Hyperspectral Images Using Attention-based Convolutional Neural Networks by Lorenzo, Pablo Ribalta, Tulczyjew, Lukasz, Marcinkiewicz, Michal, Nalepa, Jakub

“…This paper introduces new attention-based convolutional neural networks for selecting bands from hyperspectral images. The proposed approach re-uses…”
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Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors by Nalepa, Jakub, Lorenzo, Pablo Ribalta, Marcinkiewicz, Michal, Bobek-Billewicz, Barbara, Wawrzyniak, Pawel, Walczak, Maksym, Kawulok, Michal, Dudzik, Wojciech, Mrukwa, Grzegorz, Ulrych, Pawel, Hayball, Michael P

“…Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in diagnosis and grading of brain tumor. Although manual DCE biomarker…”
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Quantitative Impact of Label Noise on the Quality of Segmentation of Brain Tumors on MRI scans by Marcinkiewicz, Michał, Mrukwa, Grzegorz

“…Over the last few years, deep learning has proven to be a great solution to many problems, such as image or text classification. Recently, deep learning-based…”
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Pamięć zafałszowana. Przypadek „hitlerowskiego obozu koncentracyjnego” w Boguszach/Prostkach by Marcinkiewicz, Stefan Michał

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Obecność muzułmanów i imigrantów w polskim dyskursie publicznym na przykładzie doniesień prasowych dotyczących wydarzeń w Ełku na przełomie 2016 i 2017 roku by Łyszczarz, Michał, Marcinkiewicz, Stefan Michał

“…Przedmiotem artykułu jest analiza dyskursu publicznego w Polsce na podstawie doniesień prasowych dotyczących wydarzeń w Ełku w sylwestrową noc 2017 roku. W…”
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