Johanna Müller

Professur für Image Data Exploration and Analysis

Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks (2025) Müller J, Kainz B Conference contribution Uncertainty-Aware Vision Transformers for Medical Image Analysis (2025) Erick F, Mina R, Müller J, Kainz B Conference contribution, Original article Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability (2024) Dombrowski M, Reynaud H, Müller J, Baugh M, Kainz B Conference contribution, Conference Contribution Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects (2024) Stegmaier M, Schröder C, Müller J, Day T, Cuomo M, Dewald O, Dittrich S, Kainz B Conference contribution, Conference Contribution Confidence-Aware and Self-supervised Image Anomaly Localisation (2023) Müller J, Baugh M, Tan J, Dombrowski M, Kainz B Conference contribution Simplifying Medical Ultrasound (2023) Kainz B, Noble JA, Schnabel J, Khanal B, Müller J, Day T Edited Volume Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging (2023) Jehn C, Müller J, Kainz B Conference contribution Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis (2023) Shkëmbi G, Müller J, Li Z, Breininger K, Schüffler P, Kainz B Conference contribution nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods (2022) Baugh M, Tan J, Vlontzos A, Müller J, Kainz B Conference contribution Adnexal Mass Segmentation with Ultrasound Data Synthesis (2022) Lebbos C, Barcroft J, Tan J, Müller J, Baugh M, Vlontzos A, Saso S, Kainz B Conference contribution