Jan Flusser is affiliated with the Institute of Information Theory and Automation in the Czech Republic. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition, Media Technology, Signal Processing, Artificial Intelligence, and Radiology, Nuclear Medicine, and Imaging. The scientist's work covers various topics related to image and signal processing, including Image and Signal Denoising Methods, Image Retrieval and Classification Techniques, Advanced Image Processing Techniques, Medical Image Segmentation Techniques, and Advanced Image Fusion Techniques.
Flusser has published extensively, with a significant number of works appearing in venues such as arXiv (Cornell University), Pattern Recognition, Digital Signal Processing, Signal Processing, and Mathematics. The scientist has contributed to multiple papers, including:
The scientist's collaborations involve frequent co-authors such as Filip Šroubek, Tomáš Kerepecký, Matěj Lébl, Mayank Singh, and Vipin Tyagi, reflecting ongoing partnerships in the academic community.
Jan Flusser has also contributed to book publications, notably with Springer Science+Business Media, authoring several volumes titled Advances in Computing and Data Sciences published between 2020 and 2023.
Barbara Zitová;Jan Flusser
Jan Flusser;Tomás Suk
Jan Flusser;Barbara Zitova;Tomas Suk
Jan Flusser
J. Flusser;T. Suk
J. Flusser;T. Suk
F. Matus;J. Flusser
J. Flusser;T. Suk
F. Sroubek;J. Flusser
Jan Flusser;Barbara Zitova;Tomas Suk
F. Sroubek;J. Flusser
Jaroslav Kautsky;Jan Flusser;Barbara Zitová;Stanislava Simberová
Jan Flusser;Tomáš Suk
F. Sroubek;G. Cristobal;J. Flusser
Jan Flusser;Sajad Farokhi;Cyril Hoschl;Tomas Suk
J. Flusser;T. Suk;S. Saic
Tomáš Suk;Jan Flusser
J. Flusser;J. Boldys;B. Zitova
Jan Flusser
Jan Flusser
M. Sorel;J. Flusser
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