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Unsupervised Anomaly Detection in 3D Brain MRI using Deep Learning with Multi-Task Brain Age Prediction.

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Desiderata for the Design of Companion Systems - Insights from a Large Scale Wizard of Oz Experiment., , , , , and . KI, 30 (1): 53-61 (2016)Statistical appearance models based on probabilistic correspondences., , and . Medical Image Analysis, (2017)Simulation of mammographic breast compression in 3D MR images using ICP-based B-spline deformation for multimodality breast cancer diagnosis., , , and . Int. J. Comput. Assist. Radiol. Surg., 9 (3): 367-377 (2014)Speech Matters - Psychological Aspects of Artificial versus Anthropomorphic System Voices in User-Companion Interaction., , , , , and . HCI (18), volume 9748 of Lecture Notes in Computer Science, page 319-327. Springer, (2016)A probabilistic approach for the registration of images with missing correspondences., , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 1094925. SPIE, (2019)Users' Relational Ascriptions in User-Companion Interaction., , and . HCI (3), volume 9733 of Lecture Notes in Computer Science, page 128-137. Springer, (2016)Automatic correspondence detection in mammogram and breast tomosynthesis images., , , , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 831421. SPIE, (2012)Registration with probabilistic correspondences - Accurate and robust registration for pathological and inhomogeneous medical data., , , and . Computer Vision and Image Understanding, (2020)Smiling in a Wizard of Oz Experiment: Emotional vs. Social Smiles, General Effects and Sex Differences., , , and . HCI (1), volume 9731 of Lecture Notes in Computer Science, page 313-320. Springer, (2016)Statistical shape and appearance models without one-to-one correspondences., , and . Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340U. SPIE, (2014)