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ORCIDMCV@MICCAI 2010: Beijing, China
- Bjoern H. Menze
, Georg Langs, Zhuowen Tu, Antonio Criminisi:
Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, ISBN 978-3-642-18420-8
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 R. 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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