Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Contrastive Learning for View Classification of Echocardiograms (2021) Kainz B Authored book, Volume of book series Can Non-specialists Provide High Quality Gold Standard Labels in Challenging Modalities? (2021) Budd S, Day TG, Simpson JM, Lloyd K, Matthew J, Skelton E, Razavi R, Kainz B Authored book, Volume of book series Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation (2021) Reynaud H, Vlontzos A, Hou B, Beqiri A, Leeson P, Kainz B Authored book, Volume of book series Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps (2021) Budd S, Sinclair M, Day TG, Vlontzos A, Tan J, Liu T, Matthew J, et al. Authored book, Volume of book series Geomstats: A python package for riemannian geometry in machine learning (2020) Miolane N, Guigui N, Le Brigant A, Mathe J, Hou B, Thanwerdas Y, Heyder S, et al. Journal article Divergent search for image classification behaviors (2020) Tan J, Kainz B Conference contribution Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening (2020) Tan J, Au A, Meng Q, FinesilverSmith S, Simpson J, Rueckert D, Razavi R, et al. Conference contribution Ultrasound Video Summarization Using Deep Reinforcement Learning (2020) Liu T, Meng Q, Vlontzos A, Tan J, Rueckert D, Kainz B Conference contribution Unsupervised Cross-domain Image Classification by Distance Metric Guided Feature Alignment (2020) Meng Q, Rueckert D, Kainz B Conference contribution Projective Latent Interventions for Understanding and Fine-Tuning Classifiers (2020) Hinterreiter A, Streit M, Kainz B Conference contribution