Torbjørn Vik

14 papers B 6Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2016 B conf
Precise anatomy localization in CT data by an improved probabilistic tissue type atlas.
Image Processing
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov
2015 B conf
Annotation-free probabilistic atlas learning for robust anatomy detection in CT images.
Image Processing
Astrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov
2014 B conf
Towards a comprehensive CT image segmentation for thoracic organ radiation dose estimation and reporting.
Image Processing
Cristian Lorenz, Heike Ruppertshofen, Torbjørn Vik, Peter Prinsen, Jens Wiegert
2012 — conf
A new method for robust organ positioning in CT images.
ISBI
Torbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters
2010 — conf
Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI database.
Computer-Aided Diagnosis
Rafael Wiemker, Ekta Dharaiya, Amnon Steinberg, Thomas Bülow, Axel Saalbach, Torbjørn Vik
2009 B conf
Local motion analysis in 4D lung CT using fast groupwise registration.
ICIP
Daniel Bystrov, Torbjørn Vik, Heinrich Schulz, Tobias Klinder, Stefan Schmidt
2008 B conf
Validation and comparison of registration methods for free-breathing 4D lung CT.
Image Processing
Torbjørn Vik, Sven Kabus, Jens von Berg, Konstantin Ens, Sebastian P. M. Dries, Tobias Klinder, Cristian Lorenz
2008 B conf
Validation of automatic landmark identification for atlas-based segmentation for radiation treatment planning of the head-and-neck region.
Image Processing
Claudia Leavens, Torbjørn Vik, Heinrich Schulz, Stéphane Allaire, John J. Kim, Laura Dawson, Brian O'Sullivan, Stephen L. Breen, David A. Jaffray, Vladimir Pekar
2007 J jnl
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell.
Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier
2005 J jnl
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion.
NeuroImage
Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach
2004 — —
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).
Torbjørn Vik
2003 — conf
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++.
MICCAI (2)
Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz
2003 — conf
Mean shift-based Bayesian image reconstruction into visual subspace.
ICIP (1)
Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier
2003 — conf
Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance.
MICCAI (2)
Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach