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ORCIDTorbjørn Vik
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2010 – 2019
- 2016
[c11]Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov:
Precise anatomy localization in CT data by an improved probabilistic tissue type atlas. Medical Imaging: Image Processing 2016: 978444- 2015
- [c10]Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov:
Annotation-free probabilistic atlas learning for robust anatomy detection in CT images. Medical Imaging: Image Processing 2015: 941338 - 2014
- [c9]Cristian Lorenz, Heike Ruppertshofen, Torbjørn Vik, Peter Prinsen, Jens Wiegert:
Towards a comprehensive CT image segmentation for thoracic organ radiation dose estimation and reporting. Medical Imaging: Image Processing 2014: 90340A - 2012
- [c8]Torbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters:
A new method for robust organ positioning in CT images. ISBI 2012: 338-341 - 2010
- [c7]Rafael Wiemker, Ekta Dharaiya, Amnon Steinberg, Thomas Bülow, Axel Saalbach, Torbjørn Vik:
Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database. Medical Imaging: Computer-Aided Diagnosis 2010: 76242U
2000 – 2009
- 2009
- [c6]Daniel Bystrov, Torbjørn Vik, Heinrich Schulz, Tobias Klinder, Stefan Schmidt:
Local motion analysis in 4D lung CT using fast groupwise registration. ICIP 2009: 1749-1752 - 2008
- [c5]Torbjørn Vik, Sven Kabus, Jens von Berg, Konstantin Ens, Sebastian P. M. Dries
, Tobias Klinder, Cristian Lorenz:
Validation and comparison of registration methods for free-breathing 4D lung CT. Medical Imaging: Image Processing 2008: 69142P - [c4]Claudia Leavens, Torbjørn Vik, Heinrich Schulz, Stéphane Allaire, John J. Kim, Laura Dawson, Brian O'Sullivan, Stephen L. Breen, David A. Jaffray, Vladimir Pekar:
Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region. Medical Imaging: Image Processing 2008: 69143G - 2007
- [j2]Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier:
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 901-905 (2007) - 2005
- [j1]Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach:
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. NeuroImage 24(4): 1088-1098 (2005) - 2004
- [b1]Torbjørn Vik:
Non-Gaussian Statistical Appearance Models. Application to the Creation of a Probabilistic Atlas of Brain Perfusion in Medical Imaging. (Modèles statistiques d'apparence non gaussiens. Application à la création d'un atlas probabiliste de perfusion cérébrale en imagerie médicale). Louis Pasteur University, Strasbourg, Alsace, France, 2004 - 2003
- [c3]Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier:
Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) 2003: 697-700 - [c2]Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach:
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. MICCAI (2) 2003: 838-845 - [c1]Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz:
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. MICCAI (2) 2003: 981-982
Coauthor Index
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