Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

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 Weakly Supervised Estimation of Shadow Confidence Maps in Fetal Ultrasound Imaging (2019) Meng Q, Sinclair M, Zimmer V, Hou B, Rajchl M, Toussaint N, Oktay O, et al. Journal article Foreword to the special section on the Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 (2019) Schultz T, Puig A, Kainz B Journal article Morpho-Mnist: Quantitative assessment and diagnostics for representation learning (2019) Castro DC, Tan J, Kainz B, Konukoglu E, Glocker B Journal article