Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

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 Image Registration via Stochastic Gradient Markov Chain Monte Carlo (2020) Grzech D, Kainz B, Glocker B, le Folgoc L Conference contribution 3D Probabilistic Segmentation and Volumetry from 2D Projection Images (2020) Vlontzos A, Budd S, Hou B, Rueckert D, Kainz B Conference contribution Surface Agnostic Metrics for Cortical Volume Segmentation and Regression (2020) Budd S, Patkee P, Baburamani A, Rutherford M, Robinson EC, Kainz B Conference contribution