no code implementations • 18 Mar 2024 • Philip Matthias Winter, Maria Wimmer, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Gaia Romana De Paolis, Johannes Novotny, Sophia Ulonska, Katja Bühler
We argue that the notion of separating computation from memory by the means of transduction can act as a stepping stone for solving these issues.
no code implementations • 8 Jan 2024 • Theresa Neubauer, Astrid Berg, Maria Wimmer, Dimitrios Lenis, David Major, Philip Matthias Winter, Gaia Romana De Paolis, Johannes Novotny, Daniel Lüftner, Katja Reinharter, Katja Bühler
We evaluate our method on a refractory raw material dataset of high-resolution images with large variation in crystal size and show that our model can be used to calculate the crystal size more accurately than existing methods.
no code implementations • 23 Jan 2023 • Astrid Berg, Eva Vandersmissen, Maria Wimmer, David Major, Theresa Neubauer, Dimitrios Lenis, Jeroen Cant, Annemiek Snoeckx, Katja Bühler
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.
no code implementations • 12 Oct 2022 • Marc Dietrichstein, David Major, Maria Wimmer, Dimitrios Lenis, Philip Winter, Astrid Berg, Theresa Neubauer, Katja Bühler
Unsupervised anomaly detection models which are trained solely by healthy data, have gained importance in the recent years, as the annotation of medical data is a tedious task.
no code implementations • 1 Dec 2021 • Maria Wimmer, Gert Sluiter, David Major, Dimitrios Lenis, Astrid Berg, Theresa Neubauer, Katja Bühler
In this work, we propose a pipeline approach, where we first train a set of individual, task-specific models and subsequently investigate the fusion thereof, which is in contrast to the standard model ensembling strategy.
no code implementations • 28 Aug 2020 • Theresa Neubauer, Maria Wimmer, Astrid Berg, David Major, Dimitrios Lenis, Thomas Beyer, Jelena Saponjski, Katja Bühler
Closing this gap, we develop a modalityspecific sarcoma segmentation model that utilizes multimodal image data to improve the tumor delineation on each individual modality.
no code implementations • 13 Jul 2020 • Dimitrios Lenis, David Major, Maria Wimmer, Astrid Berg, Gert Sluiter, Katja Bühler
Our solution identifies salient regions of an input image in a single forward-pass by measuring the effect of local image-perturbations on a predictor's score.
no code implementations • 3 Apr 2020 • David Major, Dimitrios Lenis, Maria Wimmer, Gert Sluiter, Astrid Berg, Katja Bühler
Clinical applicability of automated decision support systems depends on a robust, well-understood classification interpretation.
no code implementations • 6 Jul 2018 • Alexey Novikov, David Major, Maria Wimmer, Dimitrios Lenis, Katja Bühler
Segmentation in 3D scans is playing an increasingly important role in current clinical practice supporting diagnosis, tissue quantification, or treatment planning.
1 code implementation • 30 Jan 2017 • Alexey A. Novikov, Dimitrios Lenis, David Major, Jiri Hladůvka, Maria Wimmer, Katja Bühler
This architecture outperformed the human observer results for lungs and heart.