Torbjørn Vik - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 13 from 13

2016

Precise anatomy localization in CT data by an improved probabilistic tissue type atlasAstrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Martin Bergtholdt, Daniel Bystrov. miip 2016: 978444 [doi]

2015

Annotation-free probabilistic atlas learning for robust anatomy detection in CT imagesAstrid Franz, Nicole Schadewaldt, Heinrich Schulz, Torbjørn Vik, Lisa Kausch, Jan Modersitzki, Rafael Wiemker, Daniel Bystrov. miip 2015: 941338 [doi]

2014

Towards a comprehensive CT image segmentation for thoracic organ radiation dose estimation and reportingCristian Lorenz, Heike Ruppertshofen, Torbjørn Vik, Peter Prinsen, Jens Wiegert. miip 2014: [doi]

2012

A new method for robust organ positioning in CT imagesTorbjørn Vik, Daniel Bystrov, Nicole Schadewaldt, Heinrich Schulz, Jochen Peters. isbi 2012: 338-341 [doi]

2010

Filter learning and evaluation of the computer aided visualization and analysis (CAVA) paradigm for pulmonary nodules using the LIDC-IDRI databaseRafael Wiemker, Ekta Dharaiya, Amnon Steinberg, Thomas Bülow, Axel Saalbach, Torbjørn Vik. micad 2010: [doi]

2008

2007

Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance SubspacesTorbjørn Vik, Fabrice Heitz, Pierre Charbonnier. pami, 29(5):901-905, 2007. [doi]

2005

On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusionTorbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach. neuroimage, 24(4):1088-1098, 2005. [doi]

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. PhD thesis, Louis Pasteur University, Strasbourg, Alsace, France, 2004. [doi]

2003

ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz. miccai 2003: 981-982 [doi]

Mean shift-based Bayesian image reconstruction into visual subspaceTorbjørn Vik, Fabrice Heitz, Pierre Charbonnier. icip 2003: 697-700

Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection PerformanceTorbjørn Vik, Fabrice Heitz, Jean-Paul Armspach. miccai 2003: 838-845 [doi]

Sign in or sign up to see more results.

runs on WebDSL