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ORCIDJohanna P. Müller
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2020 – today
- 2026
[c17]Jennifer Ochmann, Johanna P. Müller
, Franciskus Xaverius Erick, Bernhard Kainz:
Distil or Cluster? - Data-efficient Learning for Ultrasound in Practice. Bildverarbeitung für die Medizin 2026: 170-176- [e2]M. Emre Celebi, Johanna Paula Müller, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Kumar Abhishek, Joanna Jaworek-Korjakowska, Moi Hoon Yap, Katharina Breininger, Maximilian Lindholz, Jana Hutter, Richard Ruppel, Smiti Tripathy, Franziska Mathis-Ullrich, Stefanie Burghaus, Matthias May:
Skin Image Analysis, and Computer-Aided Pelvic Imaging for Female Health - 10th International Workshop, ISIC 2025, and First International Workshop, CAPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings. Lecture Notes in Computer Science 16149, Springer 2026, ISBN 978-3-032-05824-9 [contents] - [i16]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:
Unsupervised Anomaly Detection of Diseases in the Female Pelvis for Real-Time MR Imaging. CoRR abs/2602.06179 (2026) - [i15]Bernhard Kainz, Johanna P. Müller, Matthew Baugh, Cosmin Bercea:
Wasserstein-Aligned Localisation for VLM-Based Distributional OOD Detection in Medical Imaging. CoRR abs/2605.05161 (2026) - [i14]Luca Hagen, Johanna P. Müller, Weitong Zhang, Mengyun Qiao, Bernhard Kainz:
Wasserstein Equilibrium Decoding for Reliable Medical Visual Question Answering. CoRR abs/2605.18313 (2026) - [i13]Franciskus Xaverius Erick, Johanna Paula Müller, Bernhard Kainz:
Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology. CoRR abs/2605.18419 (2026) - 2025
- [c16]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:
Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion. Bildverarbeitung für die Medizin 2025: 178-184 - [c15]Samuel J. Roughley, Johanna P. Müller, Shangqi Gao, Zeyu Gao, Marta Ligero, Rudolfs Blums, Mireia Crispin-Ortuzar, Julia A. Schnabel, Bernhard Kainz, Cosmin I. Bercea, Inês Prata Machado:
GroundingDINO for Open-Set Lesion Detection in Medical Imaging. EMERGE@MICCAI 2025: 37-46 - [c14]Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter:
Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. ISIC@MICCAI 2025: 93-102 - [c13]Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz:
L-FUSION: Laplacian Fetal Ultrasound Segmentation and Uncertainty Estimation. ASMUS@MICCAI 2025: 164-173 - [c12]Franciskus Xaverius Erick, Johanna Paula Müller, Zhe Li, Bernhard Kainz:
Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis. MICCAI (8) 2025: 278-287 - [i12]Johanna P. Müller, Robert Wright, Thomas G. Day, Lorenzo Venturini, Samuel Budd, Hadrien Reynaud, Joseph V. Hajnal, Reza Razavi, Bernhard Kainz:
L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation. CoRR abs/2503.05245 (2025) - [i11]Johanna P. Müller, Anika Knupfer, Pedro Blöss, Edoardo Berardi Vittur, Bernhard Kainz, Jana Hutter:
Diffusing the Blind Spot: Uterine MRI Synthesis with Diffusion Models. CoRR abs/2508.07903 (2025) - [i10]Zhe Li, Hadrien Reynaud, Johanna P. Müller, Bernhard Kainz:
Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis. CoRR abs/2512.09418 (2025) - 2024
- [c11]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI 2024: 21037-21045 - [c10]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: 255-260 - [c9]Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz:
Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI 2024: 117-127 - [c8]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Uncertainty-Aware Vision Transformers for Medical Image Analysis. UNSURE@MICCAI 2024: 171-180 - [c7]Johanna P. Müller, Bernhard Kainz:
Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. MLMI@MICCAI (2) 2024: 180-190 - [i9]Johanna P. Müller, Bernhard Kainz:
Resource-efficient Medical Image Analysis with Self-adapting Forward-Forward Networks. CoRR abs/2406.14038 (2024) - 2023
- [c6]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: 25-31 - [c5]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: 11-20 - [c4]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: 162-172 - [c3]Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI 2023: 177-187 - [e1]Bernhard Kainz, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0 [contents] - [i8]Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR abs/2303.13227 (2023) - [i7]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR abs/2303.17908 (2023) - [i6]Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz:
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR abs/2306.09269 (2023) - [i5]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 abs/2307.00899 (2023) - [i4]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 abs/2310.04187 (2023) - [i3]Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR abs/2311.18645 (2023) - 2022
- [c2]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI 2022: 103-112 - [c1]Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI 2022: 106-116 - [i2]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR abs/2209.01124 (2022) - [i1]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 abs/2209.12305 (2022)
Coauthor Index
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