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ORCIDTomás Vicar
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2020 – today
- 2022
[b1]Tomás Vicar:
Analýza mikroskopických obrazů nádorových buněk ; Analysis of Microscopic Images of Cancer Cells. Brno University of Technology, Czech Republic, 2022- [c12]Jakub Nemcek, Tomás Vicar
, Roman Jakubícek:
Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization. BIOIMAGING 2022: 111-116 - [c11]Tomás Vicar, Roman Jakubícek, Jirí Chmelík, Radim Kolár:
Registration of Medical Image Sequences Using Auto-differentiation. MICAD 2022: 169-178 - 2021
- [c10]Petra Novotna, Tomás Vicar, Jakub Hejc, Marina Ronzhina:
Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data. CinC 2021: 1-4 - [c9]Martin Pesl, Jakub Hejc, Tomas Kulik, Tomás Vicar, Petra Novotna, Marina Ronzhina, Juraj Jakubik, Pavel Leinveber, Juan Pablo Gonzalez Rivas, Zdenek Starek:
Cardiac Arrhythmias Classification in Kardiovize Population Study. CinC 2021: 1-4 - [c8]Tomás Vicar, Petra Novotna, Jakub Hejc, Oto Janousek, Marina Ronzhina:
Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads. CinC 2021: 1-4 - [c7]Tomás Vicar, Jaromir Gumulec, Radim Kolár, Jirí Chmelík, Jiri Navratil, Larisa Chmelíková, Vratislav Cmiel, Ivo Provazník, Michal Masarik:
Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images. EMBC 2021: 439-442 - [c6]Radim Kolár, Larisa Chmelíková, Tomás Vicar, Ivo Provazník:
Increasing the Image Contrast via Fast Fluorescence Photobleaching. EMBC 2021: 2741-2744 - [c5]Roman Jakubícek, Tomás Vicar, Jirí Chmelík, Petr Ourednicek, Jirí Jan:
Deep-learning Based Prediction of Virtual Non-contrast CT Images. ISEEIE 2021: 72-76 - [i3]Jakub Nemcek, Tomás Vicar, Roman Jakubícek:
Weakly supervised deep learning-based intracranial hemorrhage localization. CoRR abs/2105.00781 (2021) - 2020
- [j2]Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. Frontiers Comput. Sci. 2: 5 (2020) - [c4]Petra Novotna, Tomás Vicar, Marina Ronzhina, Jakub Hejc, Jana Kolarova:
Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations. CinC 2020: 1-4 - [c3]Tomás Vicar, Jakub Hejc, Petra Novotna, Marina Ronzhina, Oto Janousek:
ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function. CinC 2020: 1-4 - [i2]Roman Jakubícek, Tomás Vicar, Jirí Chmelík:
A Tool for Automatic Estimation of Patient Position in Spinal CT Data. CoRR abs/2006.15330 (2020)
2010 – 2019
- 2019
- [j1]Tomás Vicar, Jan Balvan, Josef Jaros, Florian Jug, Radim Kolár, Michal Masarik, Jaromir Gumulec:
Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. BMC Bioinform. 20(1): 360:1-360:25 (2019) - [c2]Tomás Vicar, Petra Novotna, Jakub Hejc, Marina Ronzhina, Radovan Smísek:
Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss. CinC 2019: 1-4 - [c1]Jirí Chmelík, Roman Jakubícek, Tomás Vicar, Petr Walek, Petr Ourednicek, Jirí Jan:
Iterative machine learning based rotational alignment of brain 3D CT data. EMBC 2019: 4404-4408 - [i1]Alexander Krull, Tomás Vicar, Florian Jug:
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising. CoRR abs/1906.00651 (2019)
Coauthor Index
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