Tomás Vicar

Orcid: 0000-0002-9136-7873

According to our database1, Tomás Vicar authored at least 17 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2022
Analýza mikroskopických obrazů nádorových buněk ; Analysis of Microscopic Images of Cancer Cells.
PhD thesis, 2022

Registration of Medical Image Sequences Using Auto-differentiation.
Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2022

Weakly Supervised Deep Learning-based Intracranial Hemorrhage Localization.
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.
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.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Increasing the Image Contrast via Fast Fluorescence Photobleaching.
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.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Cardiac Arrhythmias Classification in Kardiovize Population Study.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

Deep-Learning Premature Contraction Localization Using Gaussian Based Predicted Data.
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.
Frontiers Comput. Sci., 2020

A Tool for Automatic Estimation of Patient Position in Spinal CT Data.
CoRR, 2020

ECG Abnormalities Recognition Using Convolutional Network With Global Skip Connections and Custom Loss Function.
Proceedings of the Computing in Cardiology, 2020

Deep-Learning Premature Contraction Localization in 12-lead ECG From Whole Signal Annotations.
Proceedings of the Computing in Cardiology, 2020

2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising.
CoRR, 2019

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.
BMC Bioinform., 2019

Iterative machine learning based rotational alignment of brain 3D CT data.
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.
Proceedings of the 46th Computing in Cardiology, 2019


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