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Segmentation of cartilage tissue in micro CT images of mouse embryos with modified U-net convolutional neural network
Published in Proceedings of the 25th Conference STUDENT EEICT 2019, 2019
This paper deals with the use of artificial intelligence for segmentation of biological structures in micro computed tomography images.
Recommended citation: MATULA, J. SEGMENTATION OF CARTILAGE TISSUE IN MICRO CT IMAGES OF MOUSE EMBRYOS WITH MODIFIED U-NET CONVOLUTIONAL NEURAL NETWORK. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Brno University of Technology, 2019. p. 191-194. ISBN: 978-80-214-5735-5. https://conf.feec.vutbr.cz/eeict/
X-ray microtomography–based atlas of mouse cranial development
Published in GigaScience, 2021
We present a comprehensive dataset of X-ray 3D computed tomography images of the developing mouse head with high-quality manual segmentation masks of cartilaginous nasal capsules.
Recommended citation: Jan Matula, Marketa Tesarova, Tomas Zikmund, Marketa Kaucka, Igor Adameyko, Jozef Kaiser, X-ray microtomography–based atlas of mouse cranial development, GigaScience, Volume 10, Issue 3, March 2021, giab012, https://doi.org/10.1093/gigascience/giab012 https://academic.oup.com/gigascience/article/10/3/giab012/6156288?login=true
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Introduction to Medical Informatics
Computer excercise, Brno University of Technology, Department of Biomedical Engineering, 2019
The course is oriented to the use of information technology in medicine and biology. It is focused on medical data: acquisition, storage and exploitation, systems based on patients‘ computer records, health information systems, decision-making in medicine, standards in medical informatics, introduction to bioinformatics and fundamentals of genetic information processing. I was teaching and creating study materials for the course in winter semesters of years 2019 and 2020.