Jiri Blahuta

14 papers Misc 2Unranked 11
YearRankTypeTitle / Venue / Authors
2024 — conf
An OCR-based Application using Tesseract Engine to Extract Text Information from Ultrasound B-MODE Images.
ITAT
Jiri Blahuta, Tomás Soukup, Jirí Kozel, Jiri Martinu
2022 — conf
Measurable Difference Between Malignant and Benign Tumor of the Thyroid Gland Recognizable Using Echogenicity Index in Ultrasound B-MODE Imaging: An Experimental Blind Study.
IWBBIO (1)
Jiri Blahuta, Tomás Soukup, Jan Lavrincik, Lukas Pavlik, Zuzana Repaská
2021 — conf
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.
ITAT
Jiri Blahuta, Tomás Soukup
2020 — conf
Approach to Automatic Segmentation of Atherosclerotic Plaque in B-images Using Active Contour Algorithm Adapted by Convolutional Neural Network to Echogenicity Index Computation.
ITAT
Jiri Blahuta, Tomás Soukup, Petr Sosík
2020 Misc conf
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.
SoftCOM
Jiri Blahuta, Tomás Soukup, Lukas Pavlik
2019 — conf
The Information System for the Research in Carotid Atherosclerosis.
Innovate-Data
Jiri Blahuta, Tomás Soukup
2018 — conf
Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research.
ICANN (2)
Jiri Blahuta, Tomás Soukup, Jakub Skacel
2017 — conf
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.
IWANN (1)
Jiri Blahuta, Tomás Soukup, Jiri Martinu
2016 Misc conf
How to Detect and Analyze Atherosclerotic Plaques in B-MODE Ultrasound Images: A Pilot Study of Reproducibility of Computer Analysis.
AIMSA
Jiri Blahuta, Tomás Soukup, Petr Cermak
2015 — conf
Computer analysis and evaluation of ultrasound B-images universally usable due to principle of B-MODE and its displaying in grayscale.
ICCSPA
Jiri Blahuta, Tomás Soukup, Petr Cermak, Michal Vecerek
2015 — conf
Ultrasound B-MODE image processing as a MATLAB software tool and as an experimental solution on ARM platform.
EUROCON
Jiri Blahuta, Tomás Soukup, Petr Cermak
2014 — conf
A reproducible application to B-MODE transcranial ultrasound images based on echogenicity evaluation analysis in selectable area of interest.
SoCPaR
Jiri Blahuta, Petr Cermak, Michal Vecerek
2013 — ch.
Semi-automatic Ultrasound Medical Image Recognition for Diseases Classification in Neurology.
Advances in Intelligent Analysis of Medical Data and Decision Support Systems
Jiri Blahuta, Tomás Soukup, Petr Cermak, David Novák, Michal Vecerek
2012 — conf
Ultrasound medical image recognition with artificial intelligence for Parkinson's disease classification.
MIPRO
Jiri Blahuta, Tomás Soukup, Petr Cermak, Jiri Rozsypal, Michal Vecerek