Jakub Siłka

10 papers and 552 indexed citations i.

Jakub Siłka has authored 10 papers that have received a total of 552 indexed citations. This includes 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (2 papers) and COVID-19 epidemiological studies (2 papers). Jakub Siłka is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Anomaly Detection Techniques and Applications (2 papers) and COVID-19 epidemiological studies (2 papers) and collaborates with scholars based in Poland, Saudi Arabia and China. Jakub Siłka's co-authors include Michał Wieczorek, Marcin Woźniak, Dawid Połap, Robertas Damaševičius and Qiao Ke and has published in prestigious journals such as PLoS ONE, Sensors and IEEE Transactions on Industrial Informatics