Scholar
Johanna P. Müller
Google Scholar ID: pQ0At74AAAAJ
PhD Student, Friedrich-Alexander-Universität Erlangen-Nürnberg
Anomaly Detection
Bayesian Neural Networks
Self-Supervised Learning
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Citations & Impact
All-time
Citations
64
H-index
5
i10-index
3
Publications
20
Co-authors
11
list available
Publications
4 items
A Principled Approach to Unsupervised Anomaly Detection
2026
Cited
0
Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering
2026
Cited
0
Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging
2026
Cited
0
Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models
2025
Cited
0
Co-authors
6 total
Bernhard Kainz
FAU Erlangen-Nürnberg, Imperial College London
Matthew Baugh
Imperial College London
Mischa Dombrowski
Friedrich-Alexander-Universität Erlangen-Nürnberg
Hadrien Reynaud
PhD Student, Biomedical Image Analysis Group (BioMedIA), Department of Computing, Imperial College
Athanasios (Thanos) Vlontzos
Research Scientist - Advanced Causal Inference Lab - Spotify
Franciskus Xaverius Erick
FAU Erlangen-Nürnberg
