Search Results - "Thodberg, H.H."

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    The BoneXpert Method for Automated Determination of Skeletal Maturity by Thodberg, H.H., Kreiborg, S., Juul, A., Pedersen, K.D.

    Published in IEEE transactions on medical imaging (01-01-2009)
    “…Bone age rating is associated with a considerable variability from the human interpretation, and this is the motivation for presenting a new method for…”
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    Journal Article
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    Computational radiology in skeletal radiography by Peloschek, Ph, Nemec, S, Widhalm, P, Donner, R, Birngruber, E, Thodberg, H.H, Kainberger, F, Langs, G

    Published in European journal of radiology (01-11-2009)
    “…Abstract Recent years have brought rapid developments in computational image analysis in musculo-skeletal radiology. Meanwhile the algorithms have reached a…”
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    In-line image analysis in the slaughter industry, illustrated by Beef Carcass Classification by Borggaard, C., Madsen, N.T., Thodberg, H.H.

    Published in Meat science (1996)
    “…This paper describes a complete framework for the quantitative quality control of biological objects using computer vision. The techniques are described in the…”
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    Journal Article Conference Proceeding
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    Optimal minimal neural interpretation of spectra by Borggaard, Claus, Thodberg, Hans Henrik

    Published in Analytical chemistry (Washington) (01-03-1992)
    “…A new method of "optimal minimal neural-network interpretation of spectra" (OMNIS) based on principal component analysis and artificial neural networks is…”
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    Journal Article
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    Application of the active shape model in a commercial medical device for bone densitometry by Thodberg, H.H, Rosholm, A

    Published in Image and vision computing (01-12-2003)
    “…Osteoporosis is a common disorder characterised mainly by low bone mineral density (BMD), and leading to an increased risk of fracture. We have developed a new…”
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    Journal Article
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    A review of Bayesian neural networks with an application to near infrared spectroscopy by Thodberg, H.H.

    Published in IEEE transactions on neural networks (01-01-1996)
    “…MacKay's (1992) Bayesian framework for backpropagation is a practical and powerful means to improve the generalization ability of neural networks. It is based…”
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    Journal Article