Prof. Dr. Bernhard Kainz

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 Generalist foundation models from a multimodal dataset for 3D computed tomography (2026) Hamamci IE, Er S, Wang C, Almas F, Simsek AG, Esirgun SN, Dogan I, et al. Journal article 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 Multi-agent Reasoning for Cardiovascular Imaging Phenotype Analysis (2026) Zhang W, Qiao M, Zang C, Niederer S, Matthews PM, Bai W, Kainz B Conference contribution Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction (2026) Qiao M, Zheng J, Zhang W, Ma Q, Li L, Kainz B, O’Regan DP, et al. Conference contribution Last Layer Laplacian Pseudocoresets for Robust Medical Image Analysis (2026) Erick F, Müller J, Li Z, 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