Johanna P. Müller

1. Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability
   2023/03/31 by Mischa Dombrowski, Hadrien Reynaud, Dombrowski, Mischa +7 · 5 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Topic Modeling
2. Zero-Shot Anomaly Detection with Pre-trained Segmentation Models
   2023/06/15 by Matthew Baugh, Baugh, Matthew, James Batten +5 · 3 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks
   2023/07/03 by Matthew Baugh, Baugh, Matthew, Jeremy Tan +9 · 3 citations
   Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning in Healthcare
4. Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks
   2024/06/20 by Johanna P. Müller, Müller, Johanna P., Bernhard Kainz +1 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Medicine · Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Imaging Techniques and Applications