Nov 2026
Invited Talk at ESC Digital & AI Summit 2026 in Basel, Switzerland
Nov 13 - 10:40 AM "Children are not small adults: AI for fetal cardiology and pediatric care."
Postdoctoral Research Associate · School of Biomedical Engineering and Imaging Sciences, Department of Cardiovascular Imaging
King's College London, London, UK
See you at ESC Digital & AI Summit 2026!
I build self-supervised and supervised AI that finds rare diseases and under-represented anatomies without labelled examples, working closely with clinicians to make it trustworthy enough for the clinic.
01 News
Recent updates
Nov 2026
Nov 13 - 10:40 AM "Children are not small adults: AI for fetal cardiology and pediatric care."
Oct 2026
Yearly symposium organised by IDEA Lab @FAU with talks from PhDs and invited researchers/professors from the Universities of Bamberg, Birmingham and Aalborg.
Sep 2026
Our team wins the Report Generation and Abnormality Classification tasks in CT and MR imaging analysis.
Aug 2026
Two main conference papers and three workshop papers accepted at UNSURE, CAPI and AgenticMed.
Aug 2026
Doctoral thesis, Learning Normative Anatomy under Limited Supervision, at Friedrich-Alexander-Universität Erlangen-Nürnberg.
Jul 2026
Recognised for reviewing at MICCAI 2026.
Jun 2026
A framework for clinical and imaging data, accepted at MICCAI 2026.
Apr 2026
A synthetic dataset of the uterus in four anatomical orientations.
Nov 2025
at the Bavarian Conference on AI in Medicine.
Oct 2025
Best AI Democratization Paper award at MICCAI 2025.
Jul 2025
Main conference and Workshops
PAST
02 Research
Areas of active work
I hold a doctoral degree from the IDEA Lab at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), earned within the joint Borderless research group between Imperial College London and FAU, where my doctoral work focused on machine learning for quality control and diagnostic support at the front line of care. Since September 2026, I am a Postdoctoral Research Associate at King's College London in...
03 Selected work
36 total
MICCAI · 2026
@inproceedings{muller2026fibers,
title = {Fibers of Asymmetric Similarity: A Framework for
Clinical and Imaging Data},
author = {M{\"u}ller, Johanna P. and Baugh, M. and Wright, R.
and Day, T. and Razavi, R. and Kainz, B.},
booktitle = {MICCAI},
year = {2026}
}Simplifying Medical Ultrasound, ASMUS 2025, eds. Ni D, Noble A, Huang R, Xue W, Springer LNCS vol. 16165, Cham
@inproceedings{muller2026lfusion,
title = {L-FUSION: Laplacian Fetal Ultrasound Segmentation and
Uncertainty Estimation},
author = {M{\"u}ller, Johanna P. and Wright, Robert and Day, Thomas G. and Venturini, Lorenzo and Budd, Samuel F. and Reynaud, Hadrien and Hajnal, Joseph V. and Razavi, Reza and Kainz, Bernhard},
editor = {Ni, D. and Noble, A. and Huang, R. and Xue, W.},
booktitle = {Simplifying Medical Ultrasound},
series = {Springer LNCS},
volume = {16165},
address = {Cham},
year = {2026},
note = {ASMUS 2025}
}MICCAI CAPI Workshop · 2025
@inproceedings{muller2026diffusing,
title = {Diffusing the Blind Spot: Uterine MRI Synthesis with
Diffusion Models},
author = {M{\"u}ller, Johanna P. and Knupfer, A. and Bl{\"o}ss, P.
and Vittur, E. B. and Kainz, B. and Hutter, J.},
editor = {Celebi, M. E. and others},
booktitle = {Skin Image Analysis, and Computer-Aided Pelvic Imaging
for Female Health},
series = {Springer LNCS},
volume = {16149},
address = {Cham},
year = {2025},
note = {CAPI 2025}
}Proceedings of the AAAI Conference on Artificial Intelligence, 38(19):21037–21045 · 2024
@inproceedings{dombrowski2024tradeoffs,
title = {Trade-offs in Fine-Tuned Diffusion Models Between
Accuracy and Interpretability},
author = {Dombrowski, M. and Reynaud, H. and M{\"u}ller,
Johanna P. and Baugh, M. and Kainz, B.},
booktitle = {Proceedings of the AAAI Conference on Artificial
Intelligence},
volume = {38},
number = {19},
pages = {21037--21045},
year = {2024},
month = mar
}International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, pp. 177–187, Cham: Springer Nature Switzerland · 2023
@inproceedings{muller2023confidenceaware,
title = {Confidence-Aware and Self-supervised Image Anomaly
Localisation},
author = {M{\"u}ller, Johanna P. and Baugh, M. and Tan, J.
and Dombrowski, M. and Kainz, B.},
booktitle = {International Workshop on Uncertainty for Safe
Utilization of Machine Learning in Medical Imaging},
publisher = {Springer Nature Switzerland},
address = {Cham},
pages = {177--187},
year = {2023},
month = oct
}International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 162–172, Cham: Springer Nature Switzerland · 2023
@inproceedings{baugh2023many,
title = {Many Tasks Make Light Work: Learning to Localise
Medical Anomalies from Multiple Synthetic Tasks},
author = {Baugh, M. and Tan, J. and M{\"u}ller, Johanna P.
and Dombrowski, M. and Batten, J. and Kainz, B.},
booktitle = {International Conference on Medical Image Computing
and Computer-Assisted Intervention},
publisher = {Springer Nature Switzerland},
address = {Cham},
pages = {162--172},
year = {2023},
month = oct
}04 Blog
Notes, not papers
28 Aug 2026
→ 11 min
Geoffrey Hinton's 2022 proposal to train neural networks with two forward passes instead of one forward and one backward. What goodness means, why it needs no backward pass at all, and a from-scratch NumPy implementation that gets a small digit classifier working on it.
25 Aug 2026
→ 2 min
Second in the series on websites worth a permanent bookmark. This time, Orphanet - the reference portal that gave rare diseases a shared vocabulary long before anyone was building models for them.
13 Aug 2026
→ 2 min
First in an occasional series on websites that have earned a permanent bookmark. Starting with the On-Line Encyclopedia of Integer Sequences.