Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications. - Philip Matthias Winter; Sebastian Eder; Johannes Weissenböck; Christoph Schwald; Thomas Doms; Tom Vogt; Sepp Hochreiter; Bernhard Nessler (CoRR, 2021)

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans. - Marc Dietrichstein; David Major; Martin Trapp 001; Maria Wimmer 002; Dimitrios Lenis; Philip Winter; Astrid Berg; Theresa Neubauer; Katja Bühler (DGM4MICCAI@MICCAI, 2022)

Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans. - Marc Dietrichstein; David Major; Maria Wimmer 002; Dimitrios Lenis; Philip Winter; Astrid Berg; Theresa Neubauer; Katja Bühler (CoRR, 2022)

PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks. - Philip Matthias Winter; Maria Wimmer 002; Astrid Berg; David Major; Dimitrios Lenis; Theresa Neubauer; Gaia Romana De Paolis; Johannes Novotny; Sophia Ulonska; Katja Bühler (GCPR (1), 2024)

Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations. - Gaia Romana De Paolis; Dimitrios Lenis; Johannes Novotny; Maria Wimmer 002; Astrid Berg; Theresa Neubauer; Philip Matthias Winter; David Major; Ariharasudhan Muthusami; Gerald Schröcker; Martin Mienkina; Katja Bühler (ShapeMI@MICCAI, 2024)

Multi-scale attention-based instance segmentation for measuring crystals with large size variation. - Theresa Neubauer; Astrid Berg; Maria Wimmer 002; Dimitrios Lenis; David Major; Philip Matthias Winter; Gaia Romana De Paolis; Johannes Novotny; Daniel Lüftner; Katja Reinharter; Katja Bühler (CoRR, 2024)

Multiscale Attention-Based Instance Segmentation for Measuring Crystals With Large Size Variation. - Theresa Neubauer; Astrid Berg; Maria Wimmer 002; Dimitrios Lenis; David Major; Philip Matthias Winter; Gaia Romana De Paolis; Johannes Novotny; Daniel Lüftner; Katja Reinharter; Katja Bühler (IEEE Trans. Instrum. Meas., 2024)