83 citations · 177 across the 10 of their papers we have counts for
12 papers
Domain-adaptive Zero-Shot Image Enhancement via Locality-Constrained Diffusion Guidance
Theresa Neubauer, Dimitrios Lenis, Astrid Berg +7
Denoising Diffusion Probabilistic Models have shown remarkable performance in unconditional image generation. In order to generate images with desired semantics, recent works have…
Fast Medical Shape Reconstruction via Meta-learned Implicit Neural Representations
Gaia Romana De Paolis, Dimitrios Lenis, Johannes Novotny +9
Efficient and fast reconstruction of anatomical structures plays a crucial role in clinical practice. Minimizing retrieval and processing times not only potentially enhances swift…
PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks
Philip Matthias Winter, Maria Wimmer, David Major +7
This work addresses flexibility in deep learning by means of transductive reasoning. For adaptation to new data and tasks, e.g., in continual learning, existing methods typically i…
Multi-scale attention-based instance segmentation for measuring crystals with large size variation
Theresa Neubauer, Astrid Berg, Maria Wimmer +8
Quantitative measurement of crystals in high-resolution images allows for important insights into underlying material characteristics. Deep learning has shown great progress in vis…
Employing similarity to highlight differences: On the impact of anatomical assumptions in chest X-ray registration methods
Astrid Berg, Eva Vandersmissen, Maria Wimmer +6
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, t…
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans
Marc Dietrichstein, David Major, Martin Trapp +6
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. Aut…