Professur für Image Data Exploration and Analysis

Distil or Cluster?: Data-efficient Learning for Ultrasound in Practice (2026) Ochmann J, Müller J, Erick F, Kainz B Conference contribution Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling (2026) Nützel F, Dombrowski MN, Kainz B Conference contribution L-FUSION: Laplacian Fetal Ultrasound Segmentation and Uncertainty Estimation (2026) Müller J, Wright R, Day TG, Venturini L, Budd SF, Reynaud H, Hajnal JV, et al. Conference contribution Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis (2026) Erick F, Müller J, Li Z, Kainz B Conference contribution Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation (2026) Hagen L, Müller J, Gmeiner M, Kainz B Conference contribution Image-conditioned latent rectified flow models for 3D medical anomaly localisation (2026) Baugh M, Müller J, Cechnicka S, Gu Baugh K, Bonnici J, Myles J, Kainz B Journal article Self-adaptive forward-forward network for anomaly detection and medical image analysis (2026) Müller J, Baugh M, Kainz B Journal article InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography (2026) Li Z, Reynaud H, Gomez A, Kainz B Conference contribution Label-Free Motion-Conditioned Diffusion Model for Cardiac Ultrasound Synthesis (2026) Li Z, Reynaud H, Müller J, Kainz B Conference contribution Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling (2025) Li Z, Cechnicka S, Ouyang C, Breininger K, Schüffler P, Kainz B Journal article