Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Deep radiance caching: Convolutional autoencoders deeper in ray tracing (2021) Jiang G, Kainz B Journal article Mutual Information-Based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging (2021) Meng Q, Matthew J, Zimmer VA, Gomez A, Lloyd DFA, Rueckert D, Kainz B Journal article Unsupervised Human Pose Estimation through Transforming Shape Templates (2021) Schmidtke L, Vlontzos A, Ellershaw S, Lukens A, Arichi T, Kainz B Conference contribution CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI (2021) Kainz B Conference contribution, Original article 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