Search Results for author: Peter M. Full

Found 8 papers, 2 papers with code

Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries

no code implementations10 Jun 2018 Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf

Though, application of this approach to continuous video frames can result in flickering, which turned out to be especially prominent for this application.

Computers and Society

Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features

1 code implementation3 Jul 2017 Fabian Isensee, Paul Jaeger, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Klaus H. Maier-Hein

We evaluated our method on the ACDC dataset (4 pathology groups, 1 healthy group) and achieve dice scores of 0. 945 (LVC), 0. 908 (RVC) and 0. 905 (LVM) in a cross-validation over the training set (100 cases) and 0. 950 (LVC), 0. 923 (RVC) and 0. 911 (LVM) on the test set (50 cases).

General Classification Time Series

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