Shape, Geometry and Registration

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  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
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  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

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  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

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  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

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  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
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  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

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  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

last updated on Wed May 22 04:55:57 2013 by the dblp team
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