Johanna P. Müller

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Diffusion Model

Multiple Instance Learning

Medical Image Analysis

Top Venues

Bildverarbeitung für die Medizin

Publications

Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz
Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. Bildverarbeitung für die Medizin (2024)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI (2024)
Johanna P. Müller, Bernhard Kainz
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR (2024)
Constantin Jehn, Johanna P. Müller, Bernhard Kainz
Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. Bildverarbeitung für die Medizin (2023)
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR (2023)
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR (2023)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI (2023)
Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR (2023)
Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR (2023)
Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI (2023)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR (2022)