Selected List of Publications by Marco Loog:

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Journal Articles

  • Bo Markussen, Kim Steenstrup Pedersen, and Marco Loog.
    Second order structure of scale-space measurements.
    Journal of Mathematical Imaging and Vision, 31(2-3):207-220, July 2008.
    http://dx.doi.org/10.1007/s10851-008-0080-7.
  • Robert P.W. Duin, Marco Loog, and Tin Kam Ho.
    Recent submissions in linear dimensionality reduction and face recognition.
    Pattern Recognition Letters, 27(7):707-708, 2006.
  • Bram van Ginneken, Mikkel B. Stegmann, and Marco Loog.
    Segmentation of anatomical structures in chest radiographs using supervised methods: A comparative study on a public database.
    Medical Image Analysis, 10(1):19-40, 2006.
  • Marco Loog and Bram van Ginneken.
    Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification.
    IEEE Transactions on Medical Imaging, 25(5):602-611, 2006.
  • Marco Loog.
    On an alternative formulation of the fisher criterion that overcomes the small sample problem.
    Pattern Recognition, 2006.
  • Kai Qin, P.N. Suganthan, and Marco Loog.
    Generalized null space uncorrelated fisher discriminant analysis for linear dimensionality reduction.
    Pattern Recognition, 39(9):1805-1808, 2006.
  • Arnold M.R. Schilham, Bram van Ginneken, and Marco Loog.
    A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database.
    Medical Image Analysis, 10(2):247-258, 2006.
  • Marco Loog, Bram van Ginneken, and Robert. P.W. Duin.
    Dimensionality reduction of image features using the canonical contextual correlation projection.
    Pattern Recognition, 38(12):2409-2418, 2005.
  • Kai Qin, P.N. Suganthan, and Marco Loog.
    Uncorrelated heteroscedastic lda based on the weighted pairwise chernoff criterion.
    Pattern Recognition, 38(4):613-616, 2005.

Refereed Conference Articles and Book Contributions

  • J. Eugenio Iglesias, Marleen de Bruijne, Marco Loog, Francois B. Lauze, and Mads Nielsen.
    A family of principal component analyses for dealing with outliers.
    In Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2007.
  • Kim Steenstrup Pedersen, Marco Loog, and Pieter van Dorst.
    Salient point and scale detection by minimum likelihood.
    In JMLR: Workshop and Conference Proceedings: Gaussian Processes in Practice, volume 1, pages 59-72, 2007.
  • Kim Steenstrup Pedersen, Marco Loog, and Bo Markussen.
    Generic maximum likely scale selection.
    In 1st International Conference on Scale Space and Variational Methods in Computer Vision, volume LNCS 4485 of Lecture Notes in Computer Science, pages 362-373. Springer, 2007.
  • Erik B. Dam, Jenny Folkesson, Marco Loog, Paola Pettersen, and Claus Christiansen.
    Efficient automatic cartilage segmentation.
    In Joint Disease Workshop. ITU, 2006.
  • Marco Loog and Bram van Ginneken.
    Bony structure suppression in chest radiographs.
    In Proceedings CVAMIA 2006, 2006.
  • Marco Loog and Dick de Ridder.
    Local discriminant analysis.
    In IEEE Proceedings of ICPR 2006, 2006.
  • Marco Loog.
    Generic blind source separation using second-order local statistics.
    In Proceedings of S+SSPR 2006, 2006.
  • Marco Loog.
    Conditional linear discriminant analysis.
    In IEEE Proceedings of ICPR 2006, 2006.
  • Kai Qin, P.N. Suganthan, and Marco Loog.
    Efficient feature extraction based on regularized uncorrelated chernoff discriminant analysis.
    In IEEE Proceedings of ICPR 2006, 2006.
  • Marco Loog, Kim Steenstrup Pedersen, and Bo Markussen.
    Maximum likely scale estimation.
    In Ole Fogh Olsen, Luc Florack, and A. Kuijper, editors, Conference on Deep Structure, Singularities and Computer Vision, volume 3753 of Lecture Notes in Computer Science, pages 146-156. Springer Verlag, 2005.
  • Bo Markussen, Kim Steenstrup Pedersen, and Marco Loog.
    A scale invariant covariance structure on jet space.
    In Ole Fogh Olsen, Luc Florack, and A. Kuijper, editors, Conference on Deep Structure, Singularities and Computer Vision, volume 3753 of Lecture Notes in Computer Science, pages 12-23. Springer Verlag, 2005.
  • Kai Qin, P.N. Suganthan, Marco Loog, and S.Y.M. Shi.
    Enhanced direct linear discriminant analysis or feature extraction on high dimensional data.
    In Proceedings of the Twentieth National Conference on Artificial Intelligence, 2005.
  • Erik B. Dam, Marco Loog, and Marloes Letteboer.
    Integrating automatic and interactive brain tumor segmentation.
    In Proceedings of ICPR, 2004.
  • Marco Loog.
    Support blob machines.
    In ?, 2004.
  • Marleen de Bruijne, Bram van Ginneken, Wiro J. Niessen, Marco Loog, and Max A. Viergever.
    Model-based segmentation of abdominal aortic aneurysms in cta images.
    In SPIE Medical Imaging - Image Processing, 2003.
  • Bram van Ginneken, Marleen de Bruijne, Marco Loog, and Max A. Viergever.
    Interactive shape models.
    In SPIE Medical Imaging - Image Processing, 2003.
  • Marco Loog, Martin Lillholm, Mads Nielsen, and Max A. Viergever.
    Gaussian scale space from insufficient image information.
    In Lewis Griffin and Martin Lillholm, editors, Proceedings of the 4th International Scale Space Conference, pages 757-769, 2003.

Theses, Technical Reports, etc.

  • Kim Steenstrup Pedersen, Pieter van Dorst, and Marco Loog.
    Minimum likelihood image feature and scale detection based on the brownian image model.
    In Gaussian Processes in Practice Workshop, Bletchley Park, England, 2006.
    Extended Abstract Web Publication: http://www.dcs.shef.ac.uk/ml/gpip/schedule.html.