13. MICCAI 2010: Beijing, China - MCV

Shape, Geometry and Registration

• Kersten Petersen, Mads Nielsen, Sami S. Brandt:
  Conditional Point Distribution Models. 1-10
  
• Sajjad Baloch, Alexander Zouhar, Tong Fang:
  Deformable Registration of Organic Shapes via Surface Intrinsic Integrals: Application to Outer Ear Surfaces. 11-20
  
• Heike Ruppertshofen, Cristian Lorenz, Sarah Schmidt, Peter Beyerlein, Zein Salah, Georg Rose, Hauke Schramm:
  Iterative Training of Discriminative Models for the Generalized Hough Transform. 21-30
  
• Chao Chen, Daniel Freedman:
  Topology Noise Removal for Curve and Surface Evolution. 31-42
  
• Rishi Rajalingham, Matthew Toews, D. Louis Collins, Tal Arbel:
  Exploring Cortical Folding Pattern Variability Using Local Image Features. 43-53
  

Markov Models for Image Reconstruction and Analysis

• Florent Lalys, Laurent Riffaud, Xavier Morandi, Pierre Jannin:
  Surgical Phases Detection from Microscope Videos by Combining SVM and HMM. 54-62
  
• Dongfeng Han, John E. Bayouth, Sudershan Bhatia, Milan Sonka, Xiaodong Wu:
  Motion Artifact Reduction in 4D Helical CT: Graph-Based Structure Alignment. 63-73
  
• Frederik O. Kaster, Bjoern H. Menze, Marc-André Weber, Fred A. Hamprecht:
  Comparative Validation of Graphical Models for Learning Tumor Segmentations from Noisy Manual Annotations. 74-85
  

Automatic Anatomy Localization via Classi?cation

• Rene Donner, Erich Birngruber, Helmut Steiner, Horst Bischof, Georg Langs:
  Localization of 3D Anatomical Structures Using Random Forests and Discrete Optimization. 86-95
  
• B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu:
  Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. 96-105
  
• Antonio Criminisi, Jamie Shotton, Duncan P. Robertson, Ender Konukoglu:
  Regression Forests for Efficient Anatomy Detection and Localization in CT Studies. 106-117
  
• Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff:
  Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. 118-129
  
• Alessandra Staglianò, Gabriele Chiusano, Curzio Basso, Matteo Santoro:
  Learning Adaptive and Sparse Representations of Medical Images. 130-140
  
• Maria A. Zuluaga, Edgar J. F. Delgado Leyton, Marcela Hernández Hoyos, Maciej Orkisz:
  Feature Selection for SVM-Based Vascular Anomaly Detection. 141-152
  

Texture Analysis

• Mehrdad J. Gangeh, Lauge Sørensen, Saher B. Shaker, Mohamed S. Kamel, Marleen de Bruijne:
  Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung. 153-163
  
• Peter Maday, Parmeshwar Khurd, Lance Ladic, Mitchell D. Schnall, Mark Rosen, Christos Davatzikos, Ali Kamen:
  Imaging as a Surrogate for the Early Prediction and Assessment of Treatment Response through the Analysis of 4-D Texture Ensembles (ISEPARATE). 164-173
  
• Maxime Boucher, Alan C. Evans, Kaleem Siddiqi:
  A Texture Manifold for Curve-Based Morphometry of the Cerebral Cortex. 174-183
  
• Annemie Ribbens, Frederik Maes, Dirk Vandermeulen, Paul Suetens:
  Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information. 184-194
  

Segmentation

• Yi Gao, Allen Tannenbaum, Ron Kikinis:
  Simultaneous Multi-object Segmentation Using Local Robust Statistics and Contour Interaction. 195-203
  
• Andrew Top, Ghassan Hamarneh, Rafeef Abugharbieh:
  Spotlight: Automated Confidence-Based User Guidance for Increasing Efficiency in Interactive 3D Image Segmentation. 204-213
  
• Akinobu Shimizu, Keita Nakagomi, Takuya Narihira, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki, Koichi Ishizu, Kaori Togashi:
  Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts. 214-223
  

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