Zobrazeno 1 - 10
of 656
pro vyhledávání: '"Major, David"'
Autor:
Winter, Philip Matthias, Wimmer, Maria, Major, David, Lenis, Dimitrios, Berg, Astrid, Neubauer, Theresa, De Paolis, Gaia Romana, Novotny, Johannes, Ulonska, Sophia, Bühler, Katja
In this work we address flexibility in deep learning by means of transductive reasoning. For adaptation to new tasks or new data, existing methods typically involve tuning of learnable parameters or even complete re-training from scratch, rendering s
Externí odkaz:
http://arxiv.org/abs/2403.11743
Autor:
Neubauer, Theresa, Berg, Astrid, Wimmer, Maria, Lenis, Dimitrios, Major, David, Winter, Philip Matthias, De Paolis, Gaia Romana, Novotny, Johannes, Lüftner, Daniel, Reinharter, Katja, Bühler, Katja
Quantitative measurement of crystals in high-resolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vision-based automatic crystal size measurement, but current instance seg
Externí odkaz:
http://arxiv.org/abs/2401.03939
Autor:
Berg, Astrid, Vandersmissen, Eva, Wimmer, Maria, Major, David, Neubauer, Theresa, Lenis, Dimitrios, Cant, Jeroen, Snoeckx, Annemiek, Bühler, Katja
Publikováno v:
Computers in Biology and Medicine, Volume 154, 2023, 106543, ISSN 0010-4825
To facilitate both the detection and the interpretation of findings in chest X-rays, comparison with a previous image of the same patient is very valuable to radiologists. Today, the most common approach for deep learning methods to automatically ins
Externí odkaz:
http://arxiv.org/abs/2301.09338