BoneFinder Tool Research Licence Request

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This request form is for non-commercial research licences only. If you are interested in a commercial evaluation licence, please contact claudia.lindner@manchester.ac.uk

This licence includes the 65 points proximal femur and 19 points cephalometric models. If you are interested in models for other skeletal structures, please contact claudia.lindner@manchester.ac.uk

Product *

BoneFinder tool (includes 65 points proximal femur and 19 points cephalometric models)

Required

Name of requesting scientist *

Email address of requesting scientist *

Institution name *

Institution country *

Institution address *

Research purpose *

Please provide details on how the BoneFinder research licence will be used.

Comments

A link to download the BoneFinder tool will be sent to your email address. Please confirm the licence terms and conditions for using the BoneFinder tool. *

By downloading the tool (including models) from the provided link, I agree not to use the tool for any commercial purposes and to not distribute it. The Licence is granted solely for non-commercial research and/or for non-commercial educational use. The tool (including models) is licensed without any warranty. The Licensee is responsible for the results or output that it obtains from the use of the licensed tool.

I will cite the following paper when publishing anything resulting from the usage of BoneFinder: C. Lindner, S. Thiagarajah, J.M. Wilkinson, The arcOGEN Consortium, G.A. Wallis and T.F. Cootes, “Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting”, IEEE Trans. Medical Imaging, Vol. 32, No. 8, pp. 1462-1472, 2013. doi:10.1109/TMI.2013.2258030

I will cite the following paper when publishing anything resulting from the usage of the lateral cephalometric model: C. Lindner, C-W. Wang, C-T. Huang, C-H. Li, S-W. Chang and T. Cootes, “Fully Automatic System for Accurate Localisation and Analysis of Cephalometric Landmarks in Lateral Cephalograms”, Scientific Reports, Vol. 6, Art. Nr. 33581, 2016. doi:10.1038/srep33581

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