Image of Me

Mads Nielsen, Professor, Ph.D.

Direct: (+45) 3532 1450
Email: madsn@diku.dk
Office: HC?- Building E, Office 4.0.16
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A Short Description

Mads Nielsen received a MSc in 1992 and a PhD in 1995 both in computer science from DIKU , Department of Computer Science, University of Copenhagen, Denmark. During his PhD studies he spent one year 93-94 at the Robotvis lab at INRIA, Sophia-Antipolis, France. In the second half of 1995 he was post-doc at the Image Sciences Institute of Utrecht University, The Netherlands. In 1996 he was joint post-doc at DIKU and 3D-Lab, School of Dentistry, University of Copenhagen., where he served as assistant professor 1997-99. In 1998-99 he served as external associate professor at Institute of Mathematical Modelling, Technical University of Denmark. April 1999 he became the first associate professor at the new IT University of Copenhagen. Since June 2002 he has been professor the same place heading the Image Analysis Group. He is head of the PhD-studies at ITU, member of the Academical Council of ITU, Vice-head of the Department of Innovation, General chair of MICCAI 2006 , member of the editorial board of IJCV and JMIV.

Recent Publications

  • Alessandro Crimi, Anarta Ghosh, Jon Sporring, and Mads Nielsen.
    Bayes estimation of shape model with application to vertebrae boundaries.
    In Proceedings of the SPIE: Medical Imaging 2009, Orlando, Florida, USA, 2009.
  • Vladlena Gorbunova, Pechin Lo, Martin Loeve, Harm Tiddens, Jon Sporring, Mads Nielsen, and Marleen de Bruijne.
    Mass preserving registration for lung ct.
    In Proceedings of the SPIE: Medical Imaging 2009, Orlando, Florida, USA, 2009.
  • David Gustavsson, Kim Steenstrup Pedersen, and Mads Nielsen.
    A svd based image complexity measure.
    In International Conference on Computer Vision Theory and Applications (VISAPP'09), 2009.
  • David Gustavsson, Kim Steenstrup Pedersen, Francois Lauze, and Mads Nielsen.
    On the rate of structural change in scale spaces.
    In Proceedings of Scale Space and Variational Methods in Computer Vision SSVM, 2009.
  • Lauge Sørensen, Pechin Lo, Haseem Ashraf, Jon Sporring, Mads Nielsen, and Marleen de Bruijne.
    Learning copd sensitive filters in pulmonary ct.
    In MICCAI 2009, London, UK, 2009.

Ph.D. students

  • Arish Qazi, DIKU/Nordic Bioscience
  • Melanie Ganz, DIKU/Nordic Bioscience
  • Aditya Jayant Tatu, DIKU
  • Michael Lund, DIKU/CCBR, Quantization of spine fracture

Graduated Ph.D.'s

  • Jakob Raundahl, DIKU/CCBR, Quantization of breast density
  • Sune Keller, DIKU, PDEs for video format conversion
  • Lars Arne Conrad-Hansen, ITU/CCBR, Quantization of aorta calcification
  • Nanna Glerup, ITU/3D-Lab, Quantization of assymetry
  • Francois Lauze, ITU, Multiscale analysis of multichannel images
  • Martin Lillholm, ITU, Multiscale analysis of multichannel images
  • Dan Witzner Hansen, ITU, Eye-tracking
  • Erik B. Dam, ITU, Deep structure of images
  • Alex Krivoulets, ITU, Compression of medical images
  • Kim Stenstrup Pedersen, DIKU, Multiscale image analysis and least committed statistics, April 28, 2003
  • Niels Holm Olsen,, ITU/3D-Lab, Analysis of 3D microscope images, April 24, 2003
  • Peter Riber, DIKU, Analysis of image sequences, 17 April, 2000
  • Ole Fogh Olsen, DIKU, Multiscale image analysis and singularity theory, 13 June, 2000