Zobrazeno 1 - 10 of 24 pro vyhledávání: '"Frantisek Babic"'
1
Akademický článek
Explainability of deep learning models in medical video analysis: a survey
Autor: Michal Kolarik, Martin Sarnovsky, Jan Paralic, Frantisek Babic
Publikováno v: PeerJ Computer Science, Vol 9, p e1253 (2023)
Deep learning methods have proven to be effective for multiple diagnostic tasks in medicine and have been performing significantly better in comparison to other traditional machine learning methods. However, the black-box nature of deep neural networ
Externí odkaz: https://doaj.org/article/5dd5382d84244e0c8cba919ecc5a0052
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2
Akademický článek
The possible role of machine learning in detection of increased cardiovascular risk patients – KSC MR Study (design)
Autor: Daniel Pella, Stefan Toth, Jan Paralic, Jozef Gonsorcik, Jan Fedacko, Peter Jarcuska, Dominik Pella, Zuzana Pella, Frantisek Sabol, Monika Jankajova, Gabriel Valocik, Alina Putrya, Andrea Kirschová, Lukas Plachy, Miroslava Rabajdova, Mikulas Hunavy, Bibiana Kafkova, Ivan Doci, Silvia Timkova, Mariana Dvorožňáková, Frantisek Babic, Peter Butka, Lucia Dimunova, Maria Marekova, Zuzana Paralicova, Jaroslav Majernik, Jan Luczy, Jakub Janosik, Martin Kmec
Publikováno v: Archives of Medical Science, Vol 18, Iss 4, Pp 991-997 (2020)
Introduction Currently, just a few major parameters are used for cardiovascular (CV) risk quantification to identify many of the high-risk subjects; however, they leave a lot of them with an underestimated level of CV risk which does not reflect the
Externí odkaz: https://doaj.org/article/3442bc63ec2747afa653ced8f572e346
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3
Akademický článek
Customized Web-based System for Elderly People Using Elements of Artificial Intelligence
Autor: Frantisek Babic, Adrián Jančuš, Katarína Melišová
Publikováno v: Annals of computer science and information systems, Vol 8, Pp 277-280 (2016)
Externí odkaz: https://doaj.org/article/f96202bc4e4a47a295a68231fa7fd1e6
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7
Akademický článek
Connecting Soft and Hard: An Integrating Role of Systems Dynamics in Tsunami Modeling and Simulation
Autor: Marek Zanker, Bilal Naji Alhasnawi, František Babič, Vladimír Bureš, Pavel Čech, Martina Husáková, Peter Mikulecký, Tomáš Nacházel, Daniela Ponce, Salman Iqbal, Bishoy E. Sedhom
Publikováno v: Sci, Vol 6, Iss 3, p 39 (2024)
Modeling and simulation have been used to study tsunamis for several decades. We created a review to identify the software and methods used in the last decade of tsunami research. The systematic review was based on the PRISMA methodology. We analyzed
Externí odkaz: https://doaj.org/article/6e68826b775048c9a1e821c636660857
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9
Akademický článek
Lung Ultrasound Reduces Chest X-rays in Postoperative Care after Thoracic Surgery: Is There a Role for Artificial Intelligence?—Systematic Review
Autor: Marek Malík, Anton Dzian, Martin Števík, Štefánia Vetešková, Abdulla Al Hakim, Maroš Hliboký, Ján Magyar, Michal Kolárik, Marek Bundzel, František Babič
Publikováno v: Diagnostics, Vol 13, Iss 18, p 2995 (2023)
Background: Chest X-ray (CXR) remains the standard imaging modality in postoperative care after non-cardiac thoracic surgery. Lung ultrasound (LUS) showed promising results in CXR reduction. The aim of this review was to identify areas where the eval
Externí odkaz: https://doaj.org/article/54952b7ad6bc43939b3be586c182cbb8
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