Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Simplifying Medical Ultrasound (2023) Kainz B, Noble JA, Schnabel J, Khanal B, Müller J, Day T Edited Volume ParaDime: A Framework for Parametric Dimensionality Reduction (2023) Hinterreiter A, Humer C, Kainz B, Streit M Journal article Improving image labelling quality (2023) Day TG, Simpson JM, Razavi R, Kainz B Journal article, Editorial Remote Expert Deep Venous Thrombosis Triaging of Novice-User Compression Sonography with Artificial Intelligence Guidance (2023) Avgerinos E, Oppenheimer J, Al-Noor F, Karimaghaei R, Adler A, Singöhl S, Kainz B, et al. Journal article RE: Wang et al. Diagnosis of fetal total anomalous pulmonary venous connection based on the post-left atrium space ratio using artificial intelligence (2023) Day TG, Kainz B, Razavi R, Simpson J Journal article, Letter Estimating categorical counterfactuals via deep twin networks (2023) Vlontzos A, Kainz B, Gilligan-Lee CM Journal article Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging (2023) Jehn C, Müller J, Kainz B Conference contribution Keynote: Beyond Supervised Learning Exploring Novel Machine Learning Approaches for Robust Medical Image Analysis (2023) Kainz B Conference contribution Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks (2023) Baugh M, Tan J, Müller JP, Dombrowski M, Batten J, Kainz B Conference contribution, Original article Remote Expert DVT Triaging of Novice-User Compression Sonography with AI-Guidance (2023) Oppenheimer J, Mandegaran R, Staabs F, Adler A, Singöhl S, Kainz B, Heinrich M, et al. Journal article