Multiple Generative Adversarial Networks Analysis for Predicting Photographers' Retouching

no code implementations • 3 Jun 2020 • Marc Bickel, Samuel Dubuis, Sébastien Gachoud

Anyone can take a photo, but not everybody has the ability to retouch their pictures and obtain result close to professional.

Automatic Liver and Tumor Segmentation of CT and MRI Volumes using Cascaded Fully Convolutional Neural Networks

4 code implementations • 20 Feb 2017 • Patrick Ferdinand Christ, Florian Ettlinger, Felix Grün, Mohamed Ezzeldin A. Elshaera, Jana Lipkova, Sebastian Schlecht, Freba Ahmaddy, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Felix Hofmann, Melvin D Anastasi, Seyed-Ahmad Ahmadi, Georgios Kaissis, Julian Holch, Wieland Sommer, Rickmer Braren, Volker Heinemann, Bjoern Menze

In the first step, we train a FCN to segment the liver as ROI input for a second FCN.

Automatic Liver And Tumor Segmentation Lesion Segmentation +2

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

3 code implementations • 7 Oct 2016 • Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger, Sunil Tatavarty, Marc Bickel, Patrick Bilic, Markus Rempfler, Marco Armbruster, Felix Hofmann, Melvin D'Anastasi, Wieland H. Sommer, Seyed-Ahmad Ahmadi, Bjoern H. Menze

Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support systems.

Lesion Segmentation Segmentation