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Christian Weber 0001
Person information
- affiliation: German Cancer Research Center, Heidelberg, Germany
Other persons with the same name
- Christian Weber — disambiguation page
- Christian Weber 0002 — Kaiserslautern University of Technology, Germany
- Christian Weber 0003
— Corvinno Technology Transfer Center, Budapest, Hungary (and 1 more)
- Christian Weber 0004 — LMU Munich, Institute for Cardiovascular Prevention, Germany
- Christian Weber 0005
— University of Stuttgart, Graduate School of Excellence Advanced Manufacturing Engineering, Germany
- Christian Weber 0006
— University of Freiburg, Department of Microsystems Engineering, Germany (and 1 more)
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Journal Articles
- 2017
- [j3]Franciszek Binczyk, Bram Stjelties, Christian Weber, Michael Götz
, Klaus H. Maier-Hein
, Hans-Peter Meinzer, Barbara Bobek-Billewicz
, Rafal Tarnawski
, Joanna Polanska
:
MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Inf. Sci. 384: 235-248 (2017) - 2016
- [j2]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:
Toward cognitive pipelines of medical assistance algorithms. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1743-1753 (2016) - [j1]Michael Götz
, Christian Weber, Franciszek Binczyk, Joanna Polanska
, Rafal Tarnawski
, Barbara Bobek-Billewicz
, Ullrich Köthe
, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein
:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans. Medical Imaging 35(1): 184-196 (2016)
Conference and Workshop Papers
- 2016
- [c9]Michael Götz
, Christoph Kolb, Christian Weber, Sebastian Regnery, Klaus H. Maier-Hein:
Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. Bildverarbeitung für die Medizin 2016: 62-67 - [c8]Michael Götz
, Stephan Skornitzke, Christian Weber, Franziska Fritz, Philipp Mayer
, Marco Koell, Wolfram Stiller, Klaus H. Maier-Hein:
Machine-learning based comparison of CT-perfusion maps and dual energy CT for pancreatic tumor detection. Medical Imaging: Computer-Aided Diagnosis 2016: 97851R - [c7]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:
A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. Medical Imaging: Image Processing 2016: 97841I - 2015
- [c6]Patrick Philipp, Maria Maleshkova
, Michael Götz
, Christian Weber, Benedikt Kämpgen, Sascha Zelzer, Klaus H. Maier-Hein, Miriam Klauß, Achim Rettinger:
Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien. Bildverarbeitung für die Medizin 2015: 263-268 - [c5]Christian Weber, Michael Götz
, Franciszek Binczyk, Joanna Polanska
, Rafal Tarnawski
, Barbara Bobek-Billewicz
, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Überwachtes Lernen zur Prädiktion von Tumorwachstum. Bildverarbeitung für die Medizin 2015: 473-478 - [c4]Michael Götz
, Christian Weber, Franciszek Binczyk, Joanna Polanska
, Rafal Tarnawski
, Barbara Bobek-Billewicz
, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein:
Automatische Tumorsegmentierung mit spärlich annotierter Lernbasis. Bildverarbeitung für die Medizin 2015: 486-491 - [c3]Peter F. Neher
, Michael Götz
, Tobias Norajitra, Christian Weber, Klaus H. Maier-Hein:
A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. MICCAI (1) 2015: 45-52 - [c2]Michael Götz
, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. Brainles@MICCAI 2015: 284-295 - 2014
- [c1]Philipp Gemmeke, Maria Maleshkova, Patrick Philipp, Michael Götz, Christian Weber, Benedikt Kämpgen, Marco Nolden, Klaus H. Maier-Hein, Achim Rettinger:
Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. COLD 2014
Informal and Other Publications
- 2024
- [i2]Michael Götz, Christian Weber, Christoph Kolb, Klaus H. Maier-Hein:
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation. CoRR abs/2403.07428 (2024) - [i1]Michael Götz, Christian Weber, Franciszek Binczyk, Joanna Polanska, Rafal Tarnawski, Barbara Bobek-Billewicz, Ullrich Köthe, Jens Kleesiek, Bram Stieltjes, Klaus H. Maier-Hein:
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. CoRR abs/2403.07434 (2024)
Coauthor Index
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last updated on 2024-08-05 21:12 CEST by the dblp team
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