Professur für Image Data Exploration and Analysis

Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation (2025) Öttl M, Wilm F, Steenpaß J, Qiu J, Rübner M, Fasching P, Maier A, et al. Unpublished / Preprint Data-Centric Benchmarking of Neural Network Architectures for the Univariate Time Series Forecasting Task (2024) Schlieper P, Dombrowski M, Nguyen A, Zanca D, Eskofier B Journal 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 Multitask Weakly Supervised Generative Network for MR-US Registration (2024) Azampour MF, Mach K, Fatemizadeh E, Demiray B, Westenfelder K, Steiger K, Eiber M, et al. Journal article Static and adaptive subspace information fusion for indefinite heterogeneous proximity data (2023) Münch M, Röder M, Heilig S, Raab C, Schleif FM Journal article 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 ParaDime: A Framework for Parametric Dimensionality Reduction (2023) Hinterreiter A, Humer C, Kainz B, Streit M Journal article Improving image labelling quality (2023) Day TG, Simpson JM, Razavi R, Kainz B Journal article, Editorial