Jiri Blahuta

According to our database, Jiri Blahuta authored at least 13 papers between 2012 and 2022.

Collaborative distances:

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

2022

Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study.

Jiri Blahuta, Tomás Soukup, Jan Lavrincik, Lukas Pavlik, Zuzana Repaská

Proceedings of the Bioinformatics and Biomedical Engineering, 2022

2021

Brightness Levels in MRI Should Corresponds With Echogenicity Grade in Ultrasound B-images: A Pilot Study of Reproducibility Using ROI-based Measurement Between Two Blind Observers.

Jiri Blahuta, Tomás Soukup

Proceedings of the 21st Conference Information Technologies, 2021

2020

The Black-White Pixels Ratio in Medial Temporal Lobe Brain Structure in Transcranial B-Images as a Measurable Marker of Alzheimer's Disease Probability: The Reproducibility Overview.

Jiri Blahuta, Tomás Soukup, Lukas Pavlik

Proceedings of the 28th International Conference on Software, 2020

Approach to Automatic Segmentation of Atherosclerotic Plaque in B-images Using Active Contour Algorithm Adapted by Convolutional Neural Network to Echogenicity Index Computation.

Jiri Blahuta, Tomás Soukup, Petr Sosík

Proceedings of the 20th Conference Information Technologies, 2020

2019

The Information System for the Research in Carotid Atherosclerosis.

Jiri Blahuta, Tomás Soukup

Proceedings of the Big Data Innovations and Applications, 2019

2018

Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research.

Jiri Blahuta, Tomás Soukup, Jakub Skacel

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

An Expert System Based on Using Artificial Neural Network and Region-Based Image Processing to Recognition Substantia Nigra and Atherosclerotic Plaques in B-Images: A Prospective Study.

Jiri Blahuta, Tomás Soukup, Jiri Martinu

Proceedings of the Advances in Computational Intelligence, 2017

2016

How to Detect and Analyze Atherosclerotic Plaques in B-MODE Ultrasound Images: A Pilot Study of Reproducibility of Computer Analysis.

Jiri Blahuta, Tomás Soukup, Petr Cermak

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2016

2015

Computer analysis and evaluation of ultrasound B-images universally usable due to principle of B-MODE and its displaying in grayscale.

Jiri Blahuta, Tomás Soukup, Petr Cermak, Michal Vecerek

Proceedings of the International Conference on Communications, 2015

Ultrasound B-MODE image processing as a MATLAB software tool and as an experimental solution on ARM platform.

Jiri Blahuta, Tomás Soukup, Petr Cermak

Proceedings of the IEEE EUROCON 2015, 2015

2014

A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest.

Jiri Blahuta, Petr Cermak, Michal Vecerek

Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014

2013

Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology.

Jiri Blahuta, Tomás Soukup, Petr Cermak, David Novák, Michal Vecerek

Proceedings of the Advances in Intelligent Analysis of Medical Data and Decision Support Systems, 2013

2012

Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification.

Jiri Blahuta, Tomás Soukup, Petr Cermak, Jiri Rozsypal, Michal Vecerek

Proceedings of the 2012 Proceedings of the 35th International Convention, 2012