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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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Reg R-CNN: Lesion Detection and Grading under Noisy Labels


Aug 26, 2019
Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein

* 9 pages, 3 figures, 1 table 

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Deep Probabilistic Modeling of Glioma Growth


Jul 09, 2019
Jens Petersen, Paul F. Jäger, Fabian Isensee, Simon A. A. Kohl, Ulf Neuberger, Wolfgang Wick, Jürgen Debus, Sabine Heiland, Martin Bendszus, Philipp Kickingereder, Klaus H. Maier-Hein

* MICCAI 2019 

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A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities


May 30, 2019
Simon A. A. Kohl, Bernardino Romera-Paredes, Klaus H. Maier-Hein, Danilo Jimenez Rezende, S. M. Ali Eslami, Pushmeet Kohli, Andrew Zisserman, Olaf Ronneberger

* 25 pages, 15 figures 

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nnU-Net: Breaking the Spell on Successful Medical Image Segmentation


Apr 17, 2019
Fabian Isensee, Jens Petersen, Simon A. A. Kohl, Paul F. Jäger, Klaus H. 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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Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection


Nov 21, 2018
Paul F. Jaeger, Simon A. A. Kohl, Sebastian Bickelhaupt, Fabian Isensee, Tristan Anselm Kuder, Heinz-Peter Schlemmer, Klaus H. Maier-Hein


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A Probabilistic U-Net for Segmentation of Ambiguous Images


Oct 29, 2018
Simon A. A. Kohl, Bernardino Romera-Paredes, Clemens Meyer, Jeffrey De Fauw, Joseph R. Ledsam, Klaus H. Maier-Hein, S. M. Ali Eslami, Danilo Jimenez Rezende, Olaf Ronneberger

* 11 pages for the main paper, 28 pages including appendix. 5 figures in the main paper, 18 figures in total, Advances in Neural Information Processing Systems (NIPS), 2018 

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