Detection of human finger joints in ultrasound images: structure and optimization.

Autor: Bąk, Artur, Wereszczyński, Kamil, Segen, Jakub, Mielnik, Paweł, Fojcik, Marcin, Kulbacki, Marek

Publikováno v: International Journal of Electronics & Telecommunications; 2024, Vol. 70 Issue 2, p271-276, 6p

A Novel Method of Synovitis Stratification in Ultrasound Using Machine Learning Algorithms: Results From Clinical Validation of the MEDUSA Project

Autor: Mielnik, Pawel ^{*, *}, Fojcik, Marcin, Segen, Jakub, Kulbacki, Marek

Publikováno v: In Ultrasound in Medicine & Biology February 2018 44(2):489-494

Challenges in introduction of artificial intelligence in medical practice – a review of clinical trials concerning adaptation of artificial intelligence in medicine

Autor: Paweł Mielnik, Fojcik, Marcin, Kulbacki, Marek, Segen, Jakub

Publikováno v: Studia Informatica
3B (126)

An interest in Artificial Intelligence [AI] as science is growing in the last years. It has become gradually more used in the medicine. Methodology of development and testing of AI algorithms is generally well established. Use of AI in medicine requi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83548b8392065eb8fa8b333fb4182e5f

New Procedure of Generation of Action Scenarios.

Autor: Staniszewski, Michał, Wereszczyński, Kamil, Michalczuk, Agnieszka, Fernes, Daniel, Segen, Jakub, Kulbacki, Marek, Wojciechowski, Konrad

Publikováno v: AIP Conference Proceedings; 2017, Vol. 1863 Issue 1, p1-4, 4p, 1 Diagram

A Machine-Learning Approach to the Automated Assessment of Joint Synovitis Activity.

Autor: Wojciechowski, Konrad, Smolka, Bogdan, Cupek, Rafal, Ziebinski, Adam, Nurzynska, Karolina, Kulbacki, Marek, Segen, Jakub, Fojcik, Marcin, Mielnik, Pawel, Hein, Sebastian

Publikováno v: Computational Collective Intelligence: 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part II; 2016, p440-450, 11p