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Andrea Schenk
Researcher at Fraunhofer Society
Publications - 106
Citations - 3113
Andrea Schenk is an academic researcher from Fraunhofer Society. The author has contributed to research in topics: Liver transplantation & Segmentation. The author has an hindex of 24, co-authored 97 publications receiving 2493 citations. Previous affiliations of Andrea Schenk include Charité & University of Bremen.
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The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic,Patrick Ferdinand Christ,Eugene Vorontsov,Grzegorz Chlebus,Hao Chen,Qi Dou,Chi-Wing Fu,Xiao Han,Pheng-Ann Heng,Jürgen Hesser,Samuel Kadoury,Tomasz Konopczynski,Miao Le,Chunming Li,Xiaomeng Li,Jana Lipkova,John Lowengrub,Hans Meine,Jan Hendrik Moltz,Chris Pal,Marie Piraud,Xiaojuan Qi,Jin Qi,Markus Rempfler,Karsten Roth,Andrea Schenk,Anjany Sekuboyina,Ping Zhou,Christian Hülsemeyer,Marcel Beetz,Florian Ettlinger,Felix Gruen,Georgios Kaissis,Fabian Lohöfer,Rickmer Braren,Julian Walter Holch,Felix Hofmann,Wieland H. Sommer,Volker Heinemann,Colin Jacobs,Gabriel Efrain Humpire Mamani,Bram van Ginneken,Gabriel Chartrand,An Tang,Michal Drozdzal,Avi Ben-Cohen,Eyal Klang,Marianne M. Amitai,Eli Konen,Hayit Greenspan,Johan Moreau,Alexandre Hostettler,Luc Soler,Refael Vivanti,Adi Szeskin,Naama Lev-Cohain,Jacob Sosna,Leo Joskowicz,Bjoern H. Menze +58 more
TL;DR: The set-up and results of the Liver Tumor Segmentation Benchmark (LITS) organized in conjunction with the IEEE International Symposium on Biomedical Imaging (ISBI) 2016 and International Conference on Medical Image Computing Computer Assisted Intervention (MICCAI) 2017 are reported.
Journal ArticleDOI
Analysis of vasculature for liver surgical planning
TL;DR: Methods for a geometrical and structural analysis of vessel systems have been evaluated in the clinical environment and have been used in more than 170 cases so far to plan interventions and transplantations.
Book ChapterDOI
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
TL;DR: A fast and accurate tool for semiautomatic segmentation of volumetric medical images based on the live wire algorithm, shape-based interpolation and a new optimization method is presented.
Journal ArticleDOI
Automatic liver tumor segmentation in CT with fully convolutional neural networks and object-based postprocessing
Grzegorz Chlebus,Andrea Schenk,Jan Hendrik Moltz,Bram van Ginneken,Bram van Ginneken,Horst K. Hahn,Horst K. Hahn,Hans Meine,Hans Meine +8 more
TL;DR: A fully automatic method for liver tumor segmentation in CT images based on a 2D fully convolutional neural network with an object-based postprocessing step with a significant reduction of false positive findings when compared with the raw neural network output.
Journal ArticleDOI
3D CT modeling of hepatic vessel architecture and volume calculation in living donated liver transplantation.
Bernd Frericks,Franco C. Caldarone,Björn Nashan,Dagmar Högemann Savellano,Georg Stamm,Timm Kirchhoff,Hoen-oh Shin,Andrea Schenk,Dirk Selle,Wolf Spindler,Jürgen Klempnauer,Heinz-Otto Peitgen,Michael Galanski +12 more
TL;DR: A novel image processing technique was evaluated which allows a semi-automatic volume calculation and 3D visualisation of the different liver segments and no significant differences between the presented automatic volumetry and the conventional volumets were observed.