nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Matthew Baugh; Jeremy Tan; Athanasios Vlontzos; Johanna P. Müller; Bernhard Kainz (UNSURE@MICCAI, 2022)

Adnexal Mass Segmentation with Ultrasound Data Synthesis. - Clara Lebbos; Jen Barcroft; Jeremy Tan; Johanna P. Müller; Matthew Baugh; Athanasios Vlontzos; Srdjan Saso; Bernhard Kainz (ASMUS@MICCAI, 2022)

Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. - Constantin Jehn; Johanna P. Müller; Bernhard Kainz (Bildverarbeitung für die Medizin, 2023)

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. - Matthew Baugh; Jeremy Tan; Johanna P. Müller; Mischa Dombrowski; James Batten; Bernhard Kainz (MICCAI (1), 2023)

Confidence-Aware and Self-supervised Image Anomaly Localisation. - Johanna P. Müller; Matthew Baugh; Jeremy Tan; Mischa Dombrowski; Bernhard Kainz (UNSURE@MICCAI, 2023)

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. - Glejdis Shkëmbi; Johanna P. Müller; Zhe Li 025; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (DEMI@MICCAI, 2023)

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (CoRR, 2023)

Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. - Matthew Baugh; James Batten; Johanna P. Müller; Bernhard Kainz (CoRR, 2023)

Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (CoRR, 2023)

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (AAAI, 2024)

Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. - Marietta Stegmaier; Johanna P. Müller; Christian Schröder; Thomas G. Day; Michela Cuomo; Oliver Dewald; Sven Dittrich; Bernhard Kainz (Bildverarbeitung für die Medizin, 2024)

Image-Conditioned Diffusion Models for Medical Anomaly Detection. - Matthew Baugh; Hadrien Reynaud; Sergio Naval Marimont; Sarah Cechnicka; Johanna P. Müller; Giacomo Tarroni; Bernhard Kainz (UNSURE@MICCAI, 2024)

Uncertainty-Aware Vision Transformers for Medical Image Analysis. - Franciskus Xaverius Erick; Mina Rezaei; Johanna Paula Müller; Bernhard Kainz (UNSURE@MICCAI, 2024)

Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. - Johanna P. Müller; Bernhard Kainz (MLMI@MICCAI (2), 2024)

Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. - Lisa K. Fischer; Johanna P. Müller; Christian Schröder; Anja Hanser; Michela Cuomo; Thomas G. Day; Cheng Ouyang; Oliver Dewald; Oliver Rompel; Sven Dittrich; Thomas Küstner; Bernhard Kainz (Bildverarbeitung für die Medizin, 2025)

L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. - Johanna P. Müller; Robert Wright; Thomas G. Day; Lorenzo Venturini; Samuel Budd; Hadrien Reynaud; Joseph V. Hajnal; Reza Razavi; Bernhard Kainz (CoRR, 2025)