Academic Education | |
since 10/2019 | Ph. D. studies (Dr. rer. nat.), Computer Vision and Machine Learning Systems (Prof. Benjamin Risse) |
10/2017 - 09/2019 | Master of Science (Computer Science), University of Münster |
Gebauer, Eike; Thiele, Sebastian; Ouvrard, Pierre; Sicard, Adrien; Risse, Benjamin (2024) In: Winter Conference on Applications of Computer Vision 2024, Waikoloa, Hawaii, United States. WACV 2024 open access Type of Publication: Research article in digital collection (conference) | |
Kockwelp, Jacqueline; Thiele, Sebastian; Bartsch, Jannis; Haalck, Lars; Gromoll, Jörg; Schlatt, Stefan; Exeler, Rita; Bleckmann, Annalen; Lenz, Georg; Wolf, Sebastian; Steffen, Björn; Berdel, Wolfgang Eduard; Schliemann, Christoph; Risse, Benjamin; Angenendt, Linus (2024) In: Blood Advances, 8(1) Type of Publication: Research article (journal) | |
Haalck, Lars; Thiele, Sebastian; Risse, Benjamin (2023) In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, United States. IEEE Explore, Computer Vision Foundation Type of Publication: Research article in digital collection (conference) | |
Thiele, Sebastian; Risse, Benjamin (2022) In: IEEE (eds.), 26th International Conference on Pattern Recognition. 26th International Conference on Pattern Recognition (ICPR): Wiley-IEEE Press. Type of Publication: Research article in edited proceedings (conference) | |
Kockwelp, Jacqueline; Thiele, Sebastian; Kockwelp, Pascal; Bartsch, Jannis; Schliemann, Christoph; Angenendt, Linus; Risse, Benjamin (2022) In: Conference on Computer Vision and Pattern Recognition (CVPR) Computer Vision for Medical Images (CVMI) Workshop, New Orleans, United States. IEEE Xplore Type of Publication: Research article in digital collection (conference) |
Paper of the Month 2024 Awarded by: Medizinische Fakultät der Universität Münster Award given to: Kockwelp, Jacqueline; Thiele, Sebastian; Bartsch, Jannis; Haalck, Lars; Schliemann, Christoph; Risse, Benjamin; Angenendt, Linus Announced at: 15/03/2024 | Date of awarding: 15/03/2024 Type of distinction: Best publication award |