Medical Computer Vision 2010          

Recognition Techniques and Applications in Medical Imaging

Workshop @ MICCAI 2010 | September 20, 2010


Full day workshop on September 20th, during MICCAI 2010

The final Programm will be announced in July 2010

Workshop registration

Workshop registration is managed by the MICCAI registration system. For each accepted paper, we require at least one presenting author to be registered to the workshop.

Morning oral sessions 

8:30 - 9:45h: Session 1: Shape, geometry and registration

  1. Conditional Point Distribution Models.

  2. Kersten Petersen, Mads Nielsen, and Sami S. Brandt

  3. Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces.

  4. Sajjad Baloch, Alexander Zouhar, and Tong Fang 

  5. Iterative Training of Discriminative Models for the Generalized Hough Transform.

  6. Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, and Hauke Schramm 

10:00 - 11:00h: Keynote

  1. Dorin Comaniciu

11:00 - 11:50h: Session 2: Markov Models for image reconstruction and analysis

  1. Surgical phases detection from microscope videos by combining SVM and HMM.

  2. Florent Lalys, Laurent Riffaud, Xavier Morandi, and Pierre Jannin 

  3. Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment.

  4. Dongfeng Han, John Bayuoth, Sudershan Bhatia, Milan Sonka, and Xiaodong Wu  

12:00: Lunch-time poster session 

  1. A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex.

  2. Maxime Boucher, Alan Evans, and Kaleem Siddiqi 

  3. Topology Noise Removal for Curve and Surface Evolution.

  4. Chao Chen and Daniel Freedman 

  5. Simultaneous Multi-Object Segmentation using Local Robust Statistics and Contour Interaction.

  6. Yi Gao, Allen Tannenbaum, and Ron Kikinis 

  7. Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations.

  8. Frederik O. Kaster, Bjoern H. Menze, and Marc-Andre Weber, and Fred A. Hamprecht 

  9. Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-cecal Valve False Positive Reduction in CT Colonography.

  10. Le Lu, Matthias Wolf, Jinbo Bi, and Marcos Salganico

  11. Exploring Cortical Folding Pattern Variability Using Local Image Features.

  12. Rishi Rajalingham, Matthew Toews, D. Louis Collins, and Tal Arbel

  13. Semisupervised probabilistic clustering of brain MR images including prior clinical information.

  14. Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, and Paul Suetens 

  15. Automated Segmentation of 3D CT Images based on Statistical Atlas and Graph Cuts.

  16. Akinobu Shimizu, Keita Nakagomi, Takuya Narihira, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki, Koich Ishizu, and Kaori Togashi

  17. Learning Adaptive and Sparse Representations of Medical Image.

  18. Alessandra Stagliano, Gabriele Chiusano, Curzio Basso, and Matteo Santoro

  19. Spotlight: Automated Confidence-based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation.

  20. Andrew Top, Ghassan Hamarneh, and Rafeef Abugharbieh

  21. Feature Selection for SVM-based Vascular Anomaly Detection.

  22. M. A. Zuluaga, E. J. F. Delgado Leyton, M. Hernandez Hoyos, and M. Orkisz  

Afternoon oral sessions 

14:00 - 15:15h: Session 3: Anatomy localization via classification and regression forests

  1. 3D Localization of Complex Anatomical Structures based on Random Forests and Discrete Optimization.

  2. Rene Donner, Helmut Steiner, Horst Bischof, and Georg Langs

  3. Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning.

  4. B. Michael Kelm, S. Kevin Zhou, Michael Suehling, Yefeng Zheng, Michael Wels, and Dorin Comaniciu

  5. Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. 

  6. A. Criminisi, J. Shotton, D. Robertson, and E. Konukoglu

15:30 - 16:15h: Invited talk

  1. Yiqiang Zhan

16:15 - 17:05h: Session 4: Texture analysis

  1. Multiple Classifier Systems in Texton-Based Approach for the Classification  of CT Images of Lung.

  2. Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, and Marleen de Bruijne 

  3. Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles.

  4. Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell Schnall, Mark Rosen, Christos Davatzikos, and Ali Kamen

17:05h: Announcement of MCV 2010 Best Paper Award