Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Image Generation Diversity Issues and How to Tame Them (2025) Dombrowski M, 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 Data-Efficient Generation for Dataset Distillation (2025) Li Z, Zhang W, Cechnicka S, Kainz B Conference contribution Exploring the role of different cell types on cortical folding in the developing human brain through computational modeling (2024) Zarzor MS, Ma Q, Almurey M, Kainz B, Budday S Journal article Arc2face: A foundation model for id-consistent human faces (2024) Paraperas PF, Alexandros L, Stylianos M, Deng J, Kainz B, Stefanos Z Conference contribution, Original article