Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction (2021) Kainz B Authored book, Volume of book series Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning (2021) Kainz B, Heinrich MP, Makropoulos A, Oppenheimer J, Mandegaran R, Sankar S, Deane C, et al. Journal article, Original article Detecting Outliers with Poisson Image Interpolation (2021) Tan J, Hou B, Day TG, Simpson JM, Rueckert D, Kainz B Authored book, Volume of book series A survey on active learning and human-in-the-loop deep learning for medical image analysis (2021) Budd S, Robinson EC, Kainz B Journal article, Review article Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison (2021) Skelton E, Matthew J, Li Y, Khanal B, Martinez JJC, Toussaint N, Gupta C, et al. Journal article Artificial intelligence, fetal echocardiography, and congenital heart disease (2021) Day TG, Kainz B, Hajnal J, Razavi R, Simpson JM Journal article, Review article 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