Home page of Mattias Hansson

MattiasHansson

Post Doc - Dept. Computer Science, Copenhagen University
Ph.D, M.Sc Mathematics
Formerly PhD Student Mathematics Lund University, Sweden
                                

Publications which constitute thesis:

Local and globally active contour models :
  • Paper 1: Rayleigh Segmentation of Ultrasound Images. M. Hansson, N. C Overgaard, A. Heyden. Proceedings of International Conference of Pattern Recognition (ICPR) 2008, Tampa, FL, USA, 2008. (pdf)

  • Paper 2: Convex Spatio-Temporal Segmentation of the Endocardium in Ultrasound Data using Distribution and Shape Priors. M.Hansson, K. Fundana, S. S Brandt, P. Gudmundsson. ISBI 2011 (2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro), Chicago, IL, USA, 2011. (pdf)

Feature descriptors and registration:

  • Paper 3: Spatial Statistics Based Feature Descriptor For RF Ultrasound Data. T. Klein, M. Hansson, N. Navab. ISBI 2011 (2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro), Chicago, IL, USA, 2011. (pdf)

  • Paper 4: Registration of RF Ultrasound Data using Hybrid Local Binary Patterns.  T. Klein, M. Hansson, A. Karamalis, N. Navab. ISBI 2012 (2012 IEEE International Symposium on Biomedical Imaging: From Nano to Macro), Barcelona, Spain, 2012. (pdf)

  • Paper 5: Modeling of Multi-View 3D Freehand Radio Frequency Ultrasound. T. Klein, M. Hansson, N. Navab. MICCAI 2012, Nice, France, 2012 (accepted for publication). (pdf)

Bayesian sampling segmentation model:

  • Paper 6: Bayesian Probability Maps for Evaluation of Ultrasound Data. M. Hansson, S.S Brandt, F. Lindgren, P. Gudmundsson. PMMIA (Probabilistic Models for Medical Image Analysis), a MICCAI 2009 Workshop, London, UK, 2009 (pdf)

  • Paper 7: Evaluation of Cardiac Ultrasound Data by Bayesian Probability Maps.  M. Hansson, S.S Brandt, F. Lindgren, P. Gudmundsson. ISVC 2009 (5th International Symposium on Visual Computing), Part II, LCNS 5876 proceedings, Las Vegas, NV, USA, 2009. (pdf)

  • Paper 8: Evaluation of Cardiac Ultrasound Data by Bayesian Probability Maps. M. Hansson, S.S Brandt, J. Lindstrom, A. Jujic, A. Malmgren, P. Gudmundsson, Y. Cheng. Submitted to IEEE Transactions on Medical Imaging (IEEE TMI). (pdf)

Paper 6 and 7 contain earlier versions of the model which has resulted in the submitted journal paper 8.