Professur für Image Data Exploration and Analysis

nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods (2022) Baugh M, Tan J, Vlontzos A, Müller J, Kainz B Conference contribution Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation (2022) Ouyang C, Wang S, Chen C, Li Z, Bai W, Kainz B, Rueckert D Conference contribution Adnexal Mass Segmentation with Ultrasound Data Synthesis (2022) Lebbos C, Barcroft J, Tan J, Müller J, Baugh M, Vlontzos A, Saso S, Kainz B Conference contribution D’ARTAGNAN: Counterfactual Video Generation (2022) Reynaud H, Vlontzos A, Dombrowski MN, 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 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 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