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A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients


Nov 28, 2019
David Zimmerer, Jens Petersen, Simon A. A. Kohl, Klaus H. Maier-Hein


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High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection


Nov 27, 2019
David Zimmerer, Jens Petersen, Klaus Maier-Hein


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Unsupervised Anomaly Localization using Variational Auto-Encoders


Jul 11, 2019
David Zimmerer, Fabian Isensee, Jens Petersen, Simon Kohl, Klaus Maier-Hein


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Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection


Dec 14, 2018
David Zimmerer, Simon A. A. Kohl, Jens Petersen, Fabian Isensee, Klaus H. Maier-Hein


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nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation


Sep 27, 2018
Fabian Isensee, Jens Petersen, Andre Klein, David Zimmerer, Paul F. Jaeger, Simon Kohl, Jakob Wasserthal, Gregor Koehler, Tobias Norajitra, Sebastian Wirkert, Klaus H. Maier-Hein


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Exploiting the potential of unlabeled endoscopic video data with self-supervised learning


Jan 31, 2018
Tobias Ross, David Zimmerer, Anant Vemuri, Fabian Isensee, Manuel Wiesenfarth, Sebastian Bodenstedt, Fabian Both, Philip Kessler, Martin Wagner, Beat Müller, Hannes Kenngott, Stefanie Speidel, Annette Kopp-Schneider, Klaus Maier-Hein, Lena Maier-Hein


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