Christian Weber

According to our database, Christian Weber authored at least 12 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.

Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz, Klaus H. Maier-Hein, Hans-Peter Meinzer, Barbara Bobek-Billewicz, Rafal Tarnawski, Joanna Polanska

Inf. Sci., 2017

2016

DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images.

Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein

IEEE Trans. Medical Imaging, 2016

Toward cognitive pipelines of medical assistance algorithms.

Patrick Philipp, Maria Maleshkova, Darko Katic, Christian Weber, Michael Götz, Achim Rettinger, Stefanie Speidel, Benedikt Kämpgen, Marco Nolden, Anna-Laura Wekerle, Rüdiger Dillmann, Hannes Kenngott, Beat P. Müller-Stich, Rudi Studer

Int. J. Comput. Assist. Radiol. Surg., 2016

A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.

Michael Götz, Eric Heim, Keno März, Tobias Norajitra, Mohammadreza Hafezi, Nassim Fard, Arianeb Mehrabi, Max Knoll, Christian Weber, Lena Maier-Hein, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection.

Michael Götz, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern.

Michael Götz, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015

A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting.

Peter F. Neher, Michael Götz, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation.

Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Überwachtes Lernen zur Prädiktion von Tumorwachstum.

Christian Weber, Michael Götz, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien.

Patrick Philipp, Maria Maleshkova, Michael Götz, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis.

Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

2014

Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images.

Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger

Proceedings of the 5th International Workshop on Consuming Linked Data (COLD 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014