Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

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 Generation Diversity Issues and How to Tame Them (2025) Dombrowski MN, Zhang W, Cechnicka S, Reynaud H, Kainz B Conference contribution, Original article Unsupervised Single-source Domain Generalization for Robust Quantification of Lymphatic Perfusion (2025) Fischer LK, Müller J, Schröder C, Hanser A, Cuomo M, Day T, Ouyang C, et al. Conference contribution Causal reasoning in medical imaging (2025) Vlontzos A, Müller C, Kainz B Book chapter / Article in edited volumes Whole examination AI estimation of fetal biometrics from 20-week ultrasound scans (2025) Venturini L, Budd S, Farruggia A, Wright R, Matthew J, Day TG, Kainz B, et al. Journal article Uncertainty-Aware Vision Transformers for Medical Image Analysis (2025) Erick F, Mina R, Müller J, Kainz B Conference contribution, Original article Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation (2025) Öttl M, Wilm F, Steenpaß J, Qiu J, Rübner M, Hartmann A, Beckmann M, et al. Conference contribution, Original article Resource-Efficient Medical Image Analysis with Self-adapting Forward-Forward Networks (2025) Müller J, Kainz B Conference contribution