Tomás Vicar

According to our database, Tomás Vicar authored at least 16 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Analýza mikroskopických obrazů nádorových buněk ; Analysis of Microscopic Images of Cancer Cells.

Tomás Vicar

PhD thesis, 2022

Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization.

Jakub Nemcek, Tomás Vicar, Roman Jakubícek

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Deep-learning Based Prediction of Virtual Non-contrast CT Images.

Roman Jakubícek, Tomás Vicar, Jirí Chmelík, Petr Ourednicek, Jirí Jan

Proceedings of the ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering, Seoul Republic of Korea, February 19, 2021

Parametric Deconvolution for Cancer Cells Viscoelasticity Measurements from Quantitative Phase Images.

Tomás Vicar, Jaromir Gumulec, Radim Kolár, Jirí Chmelík, Jiri Navratil, Larisa Chmelíková, Vratislav Cmiel, Ivo Provazník, Michal Masarik

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Increasing the Image Contrast via Fast Fluorescence Photobleaching.

Radim Kolár, Larisa Chmelíková, Tomás Vicar, Ivo Provazník

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Cardiac Abnormalities Recognition in ECG Using a Convolutional Network with Attention and Input with an Adaptable Number of Leads.

Tomás Vicar, Petra Novotna, Jakub Hejc, Oto Janousek, Marina Ronzhina

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Cardiac Arrhythmias Classification in Kardiovize Population Study.

Martin Pesl, Jakub Hejc, Tomas Kulik, Tomás Vicar, Petra Novotna, Marina Ronzhina, Juraj Jakubik, Pavel Leinveber, Juan Pablo Gonzalez Rivas, Zdenek Starek

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data.

Petra Novotna, Tomás Vicar, Jakub Hejc, Marina Ronzhina

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

Alexander Krull, Tomás Vicar, Mangal Prakash, Manan Lalit, Florian Jug

Frontiers Comput. Sci., 2020

A Tool for Automatic Estimation of Patient Position in Spinal CT Data.

Roman Jakubícek, Tomás Vicar, Jirí Chmelík

CoRR, 2020

ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function.

Tomás Vicar, Jakub Hejc, Petra Novotna, Marina Ronzhina, Oto Janousek

Proceedings of the Computing in Cardiology, 2020

Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations.

Petra Novotna, Tomás Vicar, Marina Ronzhina, Jakub Hejc, Jana Kolarova

Proceedings of the Computing in Cardiology, 2020

2019

Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.

Alexander Krull, Tomás Vicar, Florian Jug

CoRR, 2019

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.

Tomás Vicar, Jan Balvan, Josef Jaros, Florian Jug, Radim Kolár, Michal Masarik, Jaromir Gumulec

BMC Bioinform., 2019

Iterative machine learning based rotational alignment of brain 3D CT data.

Jirí Chmelík, Roman Jakubícek, Tomás Vicar, Petr Walek, Petr Ourednicek, Jirí Jan

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Sepsis Detection in Sparse Clinical Data Using Long Short-Term Memory Network with Dice Loss.

Tomás Vicar, Petra Novotna, Jakub Hejc, Marina Ronzhina, Radovan Smísek

Proceedings of the 46th Computing in Cardiology, 2019