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 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 Artificial intelligence to assist in the screening fetal anomaly ultrasound scan (PROMETHEUS): a randomised controlled trial (2024) Day TG, Matthew J, Budd S, Venturini L, Wright R, Farruggia A, Jamshidi B, et al. Conference contribution