Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

D’ARTAGNAN: Counterfactual Video Generation (2022) Reynaud H, Vlontzos A, Dombrowski M, Gilligan Lee C, Beqiri A, Leeson P, Kainz B Conference contribution Video Summarization Through Reinforcement Learning with a 3D Spatiooral U-Net (2022) Kainz B Journal article, Original article PRETUS: A plug-in based platform for real-time ultrasound imaging research (2022) Gomez A, Zimmer VA, Wheeler G, Toussaint N, Deng S, Wright R, Skelton E, et al. Journal article, Original article MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision (2022) Tan J, Kart T, Hou B, Batten J, Kainz B Conference contribution Video Summarization Through Reinforcement Learning with a 3D Spatiooral U-Net (2022) Liu T, Meng Q, Huang JJ, Vlontzos A, Rueckert D, Kainz B Journal article Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study (2021) Dou Q, So TY, Jiang M, Liu Q, Vardhanabhuti V, Kaissis G, Li Z, et al. Journal article RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting (2021) Hou B, Kaissis G, Summers R, Kainz B Authored book, Volume of book series 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