PMMIA-2009 is a MICCAI 2009 workshop focusing on the development, learning and use of probabilistic models for medical image understanding. The goal of this one day workshop is to foster discussions among researchers that are interested in innovative and principled probabilistic models that are stimulated by developments in other research communities, such as computer vision, machine learning and biological imaging.


Automatically quantifying and generalizing the information that is latent in medical images enables important work in scientific and disease-oriented research and in surgical guidance. Furthermore, probabilistic models are frequently a component of the methodology for such analyses. This workshop focuses on the development, learning and use of probabilistic models for medical image understanding. Relevant topics include (but are not limited to):
  • impact of prior information in medical analysis,
  • registration and segmentation of medical scans,
  • statistical frameworks for functional analysis,
  • hypothesis testing,
  • statistical shape modeling,
  • validating accuracy of probabilistic models,
  • controlling model complexity and efficient algorithms for determining optimal solutions by use of these models.
The workshop will consist of oral and poster presentations based on peer-reviewed papers. Participants are expected to have a basic understanding of medical image analysis.

Key Dates

  • Paper Submission: June 8th, 2009
    We cannot grant any extensions due to MICCAI regulations
  • Notification of Paper Acceptance: July 13th, 2009
  • Final Submission: August 9th, 2009
  • Workshop: September 20th, 2009, from 9:00 - 17:30


9:00 - 9:10Welcome
9:10 - 9:50 Prior knowledge regularization in statistical medical image tasks.
Alessandro Crimi, Jon Sporring, Marleen de Bruijne, Martin Lillholm, Mads Nielsen
9:50 - 10:30 Parametric estimation for Gaussian operator scaling random fields and anisotropy analysis of bone radiograph textures
Hermine Bierm, Claude-Laurent Benhamou, Frederic Richard
10:30 - 11:00 Coffee Break
11:00 - 11:40 Soft Plaque Detection and Automatic Vessel Segmentation
Shawn Lankton, Arthur Stillman, Paolo Raggi, Allen Tannenbaum
11:40 - 12:20 Level Set Segmentation Using a Point-Based Statistical Shape Model Relying on Correspondence Probabilities
Heike Hufnagel, Jan Ehrhardt, Xavier Pennec, Alexander Schmidt-Richberg, Heinz Handels
12:20 - 14:10 Lunch & Poster Session
14:10 - 14:50 Stochastic Tractography in 3-D Images via Nonlinear Filtering and Spherical Clustering
Hasan Cetingül, Gernot Plank, Natalia Trayanova, Rene Vidal
14:50 - 15:30 Towards Application-specific Multi-modal Similarity Measures: a Regression Approach
Olivier Pauly, Nicolas Padoy, Holger Poppert, Lorena Esposito, Hans-Henning Eckstein, Nassir Navab
15:30 - 16:00 Tea Break
16:00 - 16:40 Automatic Region Template Generation for Shape Particle Filtering based Image Segmentation
Lukas Fischer, Rene Donner, Franz Kainberger, Georg Langs
16:40 - 17:30 Nonparametric Mixture Models for Supervised Image Parcellation
Mert Sabuncu, B.T. thomas Yeo, Koen Van Leemput, Bruce Fischl, Polina Golland
17:20 - 17:30 Final Remarks
Each speaker will give a 25 minute presentation followed by 15 minute Q&A.


Please follow this link to download the final proceedings of the worskhop.


Follow the instructions at the official Miccai 2009 web site to register for this workshop.


  • Kilian Pohl (IBM)
  • Sarang Joshi (University of Utah)
  • William Wells (Harvard)

Program Committee

  • John Ashburner (University College London)
  • Sylvain Bouix (Harvard Medical School)
  • Tim Cootes (University of Manachester)
  • Jason J. Corso (University of Buffalo)
  • Brad Davis (Kitware)
  • Stanley Durelman (INRIA)
  • Tom Fletcher (University of Utah)
  • James Gee (University of Pennsylvania)
  • Polina Golland (MIT)
  • Casey Goodlett (Kitware)
  • Mark Jenkinson (Oxford)
  • Alex Leow (UCLA)
  • Jose Luis Marroquin (CIMAT)
  • Paulo Mendonca (GE)
  • Jim Miller (GE)
  • Marc Niethammer (UNC)
  • Nico Paragios (Ecole Central de Paris)
  • Xavier Pennec (INRIA)
  • Marcel Prastawa (University of Utah)
  • Michiel Schaap (Erasmus MC)
  • Hal Stern (University of California - Irvine)
  • Jon Taylor (Stanford)
  • Paul Thompson (University of California - Los Angeles)
  • Matthew Toews (Harvard Medical School)
  • Alain Trouvé (Ecole Normale Supérieure)
  • Zhuowen Tu (University of California - Los Angeles)
  • Koen Van Leemput (MIT-Harvard)
  • Baba Vemuri (University of Florida)