Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

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 Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis (2023) Shkëmbi G, Müller J, Li Z, Breininger K, Schüffler P, Kainz B Conference contribution MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI (2023) Zhang W, Basaran B, Meng Q, Baugh M, Stelter J, Lung P, Patel U, et al. Conference contribution, Original article Robust Segmentation via Topology Violation Detection and Feature Synthesis (2023) Li L, Ma Q, Ouyang C, Li Z, Meng Q, Zhang W, Qiao M, et al. Conference contribution, Original article