Publications

• 2023

  SMÍŠEK, R.; NĚMCOVÁ, A.; SMITAL, L.; CHLÍBKOVÁ, D.; KRÁLÍK, M.; KOLÁŘOVÁ, J.; MYŠKA, V.; KOLAŘÍK, M.; HARVÁNEK, M.; ARM, J.; BAŠTÁN, O.; POSPÍŠIL, M.; ŠÍMA, J.; HUBÁLEK, J. Aerobic Fitness Level Estimation Using Wearables. In Computing in Cardiology 2022. Computing in Cardiology. 2023. ISSN: 2325-887X.
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  JONÁK, M.; DORAZIL, J.; KOLAŘÍK, M.; JEŽEK, Š.; BURGET, R.; KOTRLÝ, M. Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. In 2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). IEEE Computer Society, 2023. p. 188-192. ISBN: 979-8-3503-9328-6.
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  MYŠKA, V.; GENZOR, S.; MEZINA, A.; BURGET, R.; MIZERA, J.; ŠTÝBNAR, M.; KOLAŘÍK, M.; SOVA, M.; DUTTA, M. Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19. Diagnostics, 2023, vol. 13, no. 10, p. 1-17. ISSN: 2075-4418.
  Detail | WWW | Full text in the Digital Library

  MYŠKA, V.; LEVEK, V.; BURGET, R.; KOLAŘÍK, M.; ŠTEFFAN, P.; HÁZE, J. IoT mechatronic access control system ePRO 1.4. IEEE Consumer Electronics Magazine, 2023, vol. 13, no. 5, p. 83-92. ISSN: 2162-2248.
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• 2022

  HUBÁLEK, J.; CHLÍBKOVÁ, D.; KOLÁŘOVÁ, J.; SMITAL, L.; ARM, J.; MYŠKA, V.; NĚMCOVÁ, A.; HARVÁNEK, M.; KRÁLÍK, M.; KOLAŘÍK, M.; SMÍŠEK, R.; BAŠTÁN, O.; POSPÍŠIL, M. Nový způsob hodnocení kondice a zdraví pomocí nositelných zařízení. 2022.
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  KRÁLÍK, M.; NĚMCOVÁ, A.; SMÍŠEK, R.; SMITAL, L.; KOZUMPLÍK, J.; CHLÍBKOVÁ, D.; KOLÁŘOVÁ, J.; MYŠKA, V.; KOLAŘÍK, M.; HARVÁNEK, M.; ARM, J.; BAŠTÁN, O.; POSPÍŠIL, M.; HUBÁLEK, J. Ohad dechové frekvence pomocí wearables. Praha: 2022.
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  KOLAŘÍK, M.; JONÁK, M.; PŘINOSIL, J.; KRAJSA, O.; BURGET, R.; GAJDACZEK, T. One-Class Learning Weed Plants Detection on Multispectral Images. In 2022 14th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). International Congress on Ultra Modern Telecommunications and Control Systems and Workshops. Valencia, Spain: IEEE, 2022. p. 76-79. ISBN: 979-8-3503-9866-3. ISSN: 2157-023X.
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• 2021

  KOLAŘÍK, M.; BURGET, R.; TRAVIESO-GONZÁLEZ, C.; KOČICA, J. On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. In Reproducible Research in Pattern Recognition. Third International Workshop, RRPR 2021, Virtual Event, January 11, 2021, Revised Selected Papers. Online: Springer, Cham, 2021. p. 146-151. ISBN: 978-3-030-76422-7.
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  KOLAŘÍK, M.; BURGET, R.; TRAVIESO-GONZÁLEZ, C.; KOČICA, J. Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. In 2020 25th International Conference on Pattern Recognition (ICPR). Online: IEEE, 2021. p. 1-8. ISBN: 978-1-7281-8808-9.
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  MIKULKA, J.; CHALUPA, D.; KOLAŘÍK, M.; ŘÍHA, K.; BARTUŠEK, K.; FILIPOVIČ, M. Comparison of Segmentation Methods in Analysis of MR and CT Images of Pediatric Spine. In 2021 Photonics & Electromagnetics Research Symposium (PIERS). Progress In Electromagnetics. 2021. p. 449-454. ISBN: 978-1-7281-7247-7. ISSN: 1559-9450.
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  KOLAŘÍK, M.; BURGET, R.; ŘÍHA, K.; BARTUŠEK, K. Suitability of CT and MRI Imaging for Automatic Spine Segmentation Using Deep Learning. In 2021 44th International Conference on Telecommunications and Signal Processing (TSP). NEW YORK: IEEE, 2021. p. 390-393. ISBN: 978-1-6654-2934-4.
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• 2020

  KOLAŘÍK, M.; BURGET, R.; ŘÍHA, K. Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks. In 2020 43rd International Conference on Telecommunications and Signal Processing (TSP). 2020. p. 677-680. ISBN: 978-1-7281-6376-5.
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• 2019

  KOLAŘÍK, M.; BURGET, R.; UHER, V.; ŘÍHA, K.; DUTTA, M. Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation. Applied Sciences - Basel, 2019, vol. 9, no. 3, p. 1-17. ISSN: 2076-3417.
  Detail | WWW | Full text in the Digital Library

  KOLAŘÍK, M.; BURGET, R.; UHER, V.; POVODA, L. Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network. In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). 2019. p. 643-646. ISBN: 978-1-7281-1864-2.
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  KOLAŘÍK, M. Denoise pre-training for segmentation neural networks. In Proceedings of the 25th Conference STUDENT EEICT 2019. Brno: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií, 2019. p. 739-744. ISBN: 978-80-214-5735-5.
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  KOLAŘÍK, M.; BURGET, R.; ŘÍHA, K. Upsampling Algorithms for Autoencoder Segmentation Neural Networks: A Comparison Study. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin: 2019. p. 1-5. ISBN: 978-1-7281-5764-1.
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• 2018

  KOLAŘÍK, M.; BURGET, R.; UHER, V.; DUTTA, M. Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing (TSP). Athens, Greece: IEEE, 2018. p. 222-227. ISBN: 978-1-5386-4695-3.
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  KOLAŘÍK, M.; BURGET, R.; UHER, V.; DUTTA, M. 3D Dense-U-Net for MRI brain tissue segmentation. In Proceedings of the 2018 41st International Conference on Telecommunications and Signal Processing (TSP). Athens, Greece: IEEE, 2018. p. 237-240. ISBN: 978-1-5386-4695-3.
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*) Publications are generated once a 24 hours.