Search results
- 1.0583920 - ÚTIA 2024 RIV SG eng C - Conference Paper (international conference)
Haindl, Michal
Survival Modeling of Disease Consequences and Post-disease Syndromes.
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023). Singapore: Springer Nature Singapore, 2024 - (Su, R.; Zhang, Y.; Frangi, A.), s. 365-374. Lecture Notes in Electrical Engineering, LNEE, 1166. ISBN 978-981-97-1334-9. ISSN 1876-1100. E-ISSN 1876-1119.
[International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023). Cambridge (GB), 09.12.2023-10.12.2023]
Institutional support: RVO:67985556
Keywords : survival model * permanent disease consequence * Poliomyelitis anterior acuta * post-disease syndromes
OECD category: Automation and control systems
https://link.springer.com/chapter/10.1007/978-981-97-1335-6_32 http://library.utia.cas.cz/separaty/2024/RO/haindl-0583920.pdf
Permanent Link: https://hdl.handle.net/11104/0352102 - 2.0579556 - ÚTIA 2024 RIV NL eng C - Conference Paper (international conference)
Kříž, P. - Haindl, Michal
Multispectral Texture Benchmark.
Procedia Computer Science : Volume 225, 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023. Amsterdam: Elsevier, 2023, s. 3143-3152. ISSN 1877-0509.
[International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2023 (KES 2023) /27./. Athens (GR), 06.09.2023-08.09.2023]
Institutional support: RVO:67985556
Keywords : textural features * benchmark * representation * multispectral features
OECD category: Automation and control systems
Method of publishing: Open access
http://library.utia.cas.cz/separaty/2023/RO/haindl-0579556.pdf https://www.sciencedirect.com/science/article/pii/S1877050923014667?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0349560 - 3.0574371 - ÚTIA 2024 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Shaih, N.
Texture Quality Criteria Comparison.
Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023). Piscataway: IEEE, 2023, č. článku 7101. ISBN 979-8-3503-0262-2.
[IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2023 /48./. Rhodes (GR), 04.06.2023-10.06.2023]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture quality criteria * Spearman correlation * Human quality ranking * Texture quality benchmark
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2023/RO/haindl-0574371.pdf
Permanent Link: https://hdl.handle.net/11104/0344727 - 4.0573712 - ÚTIA 2024 RIV CZ eng C - Conference Paper (international conference)
Havlíček, Michal - Haindl, Michal
Texture Spectral Similarity Criteria Comparison.
WSCG 2023 Proceedings - 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023. Plzeň: University of West Bohemia, 2023, s. 100-106. Computer Science Research Notes, CSRN 3301. ISBN 978-80-86943-32-9. ISSN 2464-4617. E-ISSN 2464-4625.
[International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2023, WSCG 2023, /31./. Plzen (CZ), 15.05.2023-19.05.2023]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture Comparison * Texture Modeling * Texture Retrieval * Texture Classification * Texture Acquisition
OECD category: Automation and control systems
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2023/RO/haindl-0573712.pdf
Permanent Link: https://hdl.handle.net/11104/0344423 - 5.0569632 - ÚTIA 2024 RIV PT eng C - Conference Paper (international conference)
Mikeš, Stanislav - Haindl, Michal
Optimal Activation Function for Anisotropic BRDF Modeling.
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP. Lisbon: SciTePress, 2023 - (Sousa, A.; Bashford-Rogers, T.; Bouatouch, K.), s. 162-169. ISBN 978-989-758-634-7. ISSN 2184-4321.
[International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - GRAPP 2023 /18./. Lisbon (PT), 19.02.2023-21.02.2023]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Anisotropic BRDF models * neural network * activation function * BTF
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2023/RO/mikes-0569632.pdf
Permanent Link: https://hdl.handle.net/11104/0341255 - 6.0565332 - ÚTIA 2023 RIV CH eng C - Conference Paper (international conference)
Haindl, Michal - Havlíček, Vojtěch
BRDF Anisotropy Criterion.
Intelligent Information and Database Systems. Cham: Springer Nature, 2022 - (Nguyen, N.; Tran, T.; Tukayev, U.; Hong, T.; Trawinski, B.; Szczerbicki, E.), s. 434-444. Lecture Notes in Artificial Intelligence, 13758. ISBN 978-3-031-21966-5. ISSN 0302-9743. E-ISSN 1611-3349.
[Asian Conference on Intelligent Information and Database Systems (ACIIDS 2022) /14./. Ho Chi Minh City (VN), 28.11.2022-30.11.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : BRDF modeling * anisotropy criterion * hyperspectral BRDF
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/haindl-0565332.pdf
Permanent Link: https://hdl.handle.net/11104/0337888 - 7.0561404 - ÚTIA 2023 RIV CH eng C - Conference Paper (international conference)
Vácha, Pavel - Haindl, Michal
Textural Features Sensitivity to Scale and Illumination Variations.
Advances in Computational Collective Intelligence : 14th International Conference, ICCCI 2022. Cham: Springer International Publishing, 2022 - (Badica, C.), s. 237-249. Communications in Computer and Information Science, 1653. ISBN 978-3-031-16209-1. ISSN 1865-0929. E-ISSN 1865-0937.
[International Conference on Computational Collective Intelligence (ICCCI 2022) /14./. Hammamet (TN), 26.09.2022-30.09.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Markovian Textural Features * Scale Sensitivity * Illumination Sensitivity
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/vacha-0561404.pdf
Permanent Link: https://hdl.handle.net/11104/0334061 - 8.0552810 - ÚTIA 2022 RIV PT eng C - Conference Paper (international conference)
Haindl, Michal - Žid, Pavel
Melanoma Recognition.
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Setúbal: Scitepress - Science and Technology Publications, Lda, 2022 - (Farinella, G.; Radeva, P.; Bouatouch, K.), s. 722-729, č. článku 268. ISBN 978-989-758-555-5. ISSN 2184-4321.
[International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) /17./. Setúbal - online (PT), 06.02.2022-08.02.2022]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Skin Cancer Recognition * Melanoma Detection * Circular Markov Random Field Model
OECD category: Automation and control systems
http://library.utia.cas.cz/separaty/2022/RO/haindl-0552810.pdf
Permanent Link: http://hdl.handle.net/11104/0327904 - 9.0546216 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Havlíček, Michal - Haindl, Michal
Optimized Texture Spectral Similarity Criteria.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 644-655, č. článku 52. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Texture spectral similarity criterion * Bidirectional Texture Function * hyperspectral data * texture modeling
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546216.pdf
Permanent Link: http://hdl.handle.net/11104/0323757 - 10.0546213 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Moudrá, A. - Haindl, Michal
Underground Archeological Structures Detection.
Advances in Computational Collective Intelligence. Cham: Springer International Publishing, 2021 - (Wojtkiewicz, K.; Treur, J.; Pimenidis, E.; Maleszka, M.), s. 690-702, č. článku 56. Communications in Computer and Information Science, 1463. ISBN 978-3-030-88113-9. ISSN 1865-0929.
[International Conference on Computational Collective Intelligence 2021 /13./. Kallithea, Rhodes (GR), 29.09.2021-01.10.2021]
R&D Projects: GA ČR(CZ) GA19-12340S
Institutional support: RVO:67985556
Keywords : Remote sensing archeology * underground heritage site recognition * aerial image-based automated site detection
OECD category: Communication engineering and systems
http://library.utia.cas.cz/separaty/2021/RO/haindl-0546213.pdf
Permanent Link: http://hdl.handle.net/11104/0323756