Professur für Image Data Exploration and Analysis

MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images (2022) Zimmerer D, Full PM, Isensee F, Jaeger P, Adler T, Petersen J, Koehler G, et al. Journal article Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization (2022) Schlüter HM, Tan J, Hou B, Kainz B Conference contribution A variational Bayesian method for similarity learning in non-rigid image registration (2022) Grzech D, Azampour MF, Glocker B, Schnabel J, Navab N, Kainz B, Folgoc LL Conference contribution 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 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 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