Mads Nielsen

Mads Nielsen

Professor


  1. Udgivet
  2. Udgivet

    Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object

    Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC nr. A61B-005/00, Patentnr. US2014357978-A1, 4 dec. 2014, Prioritetsdato 4 jun. 2013, Prioritetsnr. US909666

    Publikation: Patent

  3. Udgivet

    Computer based method for determining the size of an objects in an image

    Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 dec. 2014, Prioritetsdato 4 dec. 2014

    Publikation: Patent

  4. Afsendt

    Automatic Quantification of Pathology Indicating Measure Related to Cartilage Structure From Cartilage Scan Data

    Qazi, A. A., Dam, E., Olsen, O. F., Nielsen, Mads, Pettersen, P. & Christiansen, C., 2007, (Afsendt)

    Publikation: Patent

  5. Udgivet

    Processing method for mammogram image of breast involves deriving parameter that changes alongside changes in breast density based on aggregate pixel membership scores of classes

    Raundahl, J., Loog, M., Nielsen, Mads, Brandt, S. S. & Karemore, G., 2007, IPC nr. G06K-009/52, Patentnr. WO2007090892-A1, 16 aug. 2007, Prioritetsdato 10 feb. 2006, Prioritetsnr. GB002739

    Publikation: Patent

  6. Udgivet

    Breast Tissue Density Measure

    Raundahl, J., Loog, M. & Nielsen, Mads, 1 feb. 2007

    Publikation: Patent

  7. Udgivet

    Spinal image processing method, involves segmenting image of two vertebrae to obtain data representative of shape and size of vertebrae, and comparing shape and size with predicted unfractured shape and size of vertebrae

    de Bruijne, Marleen, Lund, M., Nielsen, Mads & Pettersen, P., 2006, IPC nr. G06T-007/00, Patentnr. WO2006087190-A1, 24 aug. 2006, Prioritetsdato 16 feb. 2005, Prioritetsnr. GB003236

    Publikation: Patent

  8. Afsendt

    Supervised shape learning for fracture prediction

    de Bruijne, Marleen, Nielsen, Mads & Pettersen, P., 2008, (Afsendt) 10 apr. 2008

    Publikation: Patent

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