Johanna P. Müller

27 papers A* 1Journal 12Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Distil or Cluster? - Data-efficient Learning for Ultrasound in Practice. Bildverarbeitung für die Medizin Jennifer Ochmann, Johanna P. Müller, Franciskus Xaverius Erick, Bernhard Kainz
2026	J	`jnl`	Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging. CoRR Anika Knupfer, Johanna P. Müller, Jordina Aviles Verdera, Martin Fenske, Claudius S. Mathy, Smiti Tripathy, Sebastian Arndt, Matthias May, Michael Uder, Matthias W. Beckmann, Stefanie Burghaus, Jana Hutter
2025	—	`conf`	Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. ISIC@MICCAI Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter
2025	J	`jnl`	Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. CoRR Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter
2025	J	`jnl`	L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. CoRR Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz
2025	—	`conf`	L-FUSION: Laplacian Fetal Ultrasound Segmentation and Uncertainty Estimation. ASMUS@MICCAI Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz
2025	J	`jnl`	Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis. CoRR Zhe Li, Hadrien Reynaud, Johanna P. Müller, Bernhard Kainz
2025	—	`conf`	Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. Bildverarbeitung für die Medizin 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
2024	—	`conf`	Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. Bildverarbeitung für die Medizin Marietta Stegmaier, Johanna P. Müller, Christian Schröder, Thomas G. Day, Michela Cuomo, Oliver Dewald, Sven Dittrich, Bernhard Kainz
2024	—	`conf`	Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz
2024	—	`conf`	Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. MLMI@MICCAI (2) Johanna P. Müller, Bernhard Kainz
2024	J	`jnl`	Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR Johanna P. Müller, Bernhard Kainz
2024	A*	`conf`	Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
2023	J	`jnl`	Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging. Bildverarbeitung für die Medizin Constantin Jehn, Johanna P. Müller, Bernhard Kainz
2023	—	`conf`	Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023	J	`jnl`	Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023	J	`jnl`	Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
2023	—	`ed.`	Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings ASMUS@MICCAI Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day
2023	—	`conf`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
2022	—	`conf`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	J	`jnl`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	—	`conf`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2022	J	`jnl`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz