10 citations · 11 across the 4 of their papers we have counts for
5 papers
MEOW: Medical Open-World Interactive Segmentation
Philip Matthias Winter, Maria Wimmer, Bernhard Schäfl +8
In open-world recognition, machine learning models not only make predictions on unknown structures ("generalized open-set"), but also continually learn and improve from those predi…
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…