14. MICCAI 2011: Toronto, Canada - MLMI

• Yonghong Shi, Shu Liao, Dinggang Shen:
  Learning Statistical Correlation of Prostate Deformations for Fast Registration. 1-9
  
• Peter Mysling, Kersten Petersen, Mads Nielsen, Martin Lillholm:
  Automatic Segmentation of Vertebrae from Radiographs: A Sample-Driven Active Shape Model Approach. 10-17
  
• Agnès Masson-Sibut, Amir Nakib, Eric Petit, François Leitner:
  Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images. 18-25
  
• Roman Filipovych, Susan M. Resnick, Christos Davatzikos:
  Multi-Kernel Classification for Integration of Clinical and Imaging Data: Application to Prediction of Cognitive Decline in Older Adults. 26-34
  
• Bahbibi Rahmatullah, Aris Papageorghiou, J. Alison Noble:
  Automated Selection of Standardized Planes from Ultrasound Volume. 35-42
  
• Engin Dikici, Fredrik Orderud:
  Maximum Likelihood and James-Stein Edge Estimators for Left Ventricle Tracking in 3D Echocardiography. 43-50
  
• Carsten Last, Simon Winkelbach, Friedrich M. Wahl, Klaus W. G. Eichhorn, Friedrich Bootz:
  A Locally Deformable Statistical Shape Model. 51-58
  
• Wei Liu, Suyash P. Awate, Jeffrey S. Anderson, Deborah Yurgelun-Todd, P. Thomas Fletcher:
  Monte Carlo Expectation Maximization with Hidden Markov Models to Detect Functional Networks in Resting-State fMRI. 59-66
  
• Gabriele Chiusano, Alessandra Staglianò, Curzio Basso, Alessandro Verri:
  DCE-MRI Analysis Using Sparse Adaptive Representations. 67-74
  
• Michael Verhoek, Mohammad Yaqub, John McManigle, J. Alison Noble:
  Learning Optical Flow Propagation Strategies Using Random Forests for Fast Segmentation in Dynamic 2D & 3D Echocardiography. 75-82
  
• Chao Lu, James S. Duncan:
  A Non-rigid Registration Framework That Accommodates Pathology Detection. 83-90
  
• Johannes Feulner, Shaohua Kevin Zhou, Matthias Hammon, Joachim Hornegger, Dorin Comaniciu:
  Segmentation Based Features for Lymph Node Detection from 3-D Chest CT. 91-99
  
• Minjeong Kim, Guorong Wu, Wei Li, Li Wang, Young-Don Son, Zang-Hee Cho, Dinggang Shen:
  Segmenting Hippocampus from 7.0 Tesla MR Images by Combining Multiple Atlases and Auto-Context Models. 100-108
  
• Joselene Marques, Erik Dam:
  Texture Analysis by a PLS Based Method for Combined Feature Extraction and Selection. 109-116
  
• Uyen T. V. Nguyen, Alauddin Bhuiyan, Kotagiri Ramamohanarao, Laurence A. F. Park:
  An Effective Supervised Framework for Retinal Blood Vessel Segmentation Using Local Standardisation and Bagging. 117-125
  
• Tao Wu, Bing Jian, Xiang Sean Zhou:
  Automated Identification of Thoracolumbar Vertebrae Using Orthogonal Matching Pursuit. 126-133
  
• Jiayin Zhou, Qi Tian, Vincent Chong, Wei Xiong, Weimin Huang, Zhimin Wang:
  Segmentation of Skull Base Tumors from MRI Using a Hybrid Support Vector Machine-Based Method. 134-141
  
• Juan David Ospina, Oscar Acosta, Gaël Dréan, Guillaume Cazoulat, Antoine Simon, Juan Carlos Correa, Pascal Haigron, Renaud de Crevoisier:
  Spatial Nonparametric Mixed-Effects Model with Spatial-Varying Coefficients for Analysis of Populations. 142-150
  
• Lisa Tang, Ghassan Hamarneh, Tim Bressmann:
  A Machine Learning Approach to Tongue Motion Analysis in 2D Ultrasound Image Sequences. 151-158
  
• Katherine R. Gray, Paul Aljabar, Rolf A. Heckemann, Alexander Hammers, Daniel Rueckert:
  Random Forest-Based Manifold Learning for Classification of Imaging Data in Dementia. 159-166
  
• Stefano Pedemonte, Alexandre Bousse, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin:
  Probabilistic Graphical Model of SPECT/MRI. 167-174
  
• Hongjun Jia, Guorong Wu, Qian Wang, Yaping Wang, Minjeong Kim, Dinggang Shen:
  Directed Graph Based Image Registration. 175-183
  
• Mohammad Yaqub, M. Kassim Javaid, Cyrus Cooper, J. Alison Noble:
  Improving the Classification Accuracy of the Classic RF Method by Intelligent Feature Selection and Weighted Voting of Trees with Application to Medical Image Segmentation. 184-192
  
• Dai Dai, Huiguang He, Joshua T. Vogelstein, Zengguang Hou:
  Network-Based Classification Using Cortical Thickness of AD Patients. 193-200
  
• Rémi Cuingnet, Joan Alexis Glaunès, Marie Chupin, Habib Benali, Olivier Colliot:
  Anatomical Regularization on Statistical Manifolds for the Classification of Patients with Alzheimer's Disease. 201-208
  
• Nhat Nguyen, Eric Norris, Mark G. Clemens, Min C. Shin:
  Rapidly Adaptive Cell Detection Using Transfer Learning with a Global Parameter. 209-216
  
• Ching-Wei Wang, Cheng-Ping Yu:
  Automatic Morphological Classification of Lung Cancer Subtypes with Boosting Algorithms for Optimizing Therapy. 217-224
  
• Moo K. Chung, Seongho Seo, Nagesh Adluru, Houri K. Vorperian:
  Hot Spots Conjecture and Its Application to Modeling Tubular Structures. 225-232
  
• Jose George, Kathleen Vunckx, Sabine Tejpar, Christophe Deroose, Johan Nuyts, Dirk Loeckx, Paul Suetens:
  Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images. 233-240
  
• Bo Cheng, Daoqiang Zhang, Songcan Chen, Dinggang Shen:
  Predicting Clinical Scores Using Semi-supervised Multimodal Relevance Vector Regression. 241-248
  
• Johannes Keustermans, Dirk Smeets, Dirk Vandermeulen, Paul Suetens:
  Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models. 249-256
  
• Yoshihide Sawada, Hidekata Hontani:
  A Comparison Study of Inferences on Graphical Model for Registering Surface Model to 3D Image. 257-264
  
• Loc Tran, Deb Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li:
  A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. 265-272
  
• Nima Tajbakhsh, Hong Wu, Wenzhe Xue, Jianming Liang:
  Automated Detection of Major Thoracic Structures with a Novel Online Learning Method. 273-281
  
• Dime Vitanovski, Alexey Tsymbal, Razvan Ioan Ionasec, Michaela Schmidt, Andreas Greiser, Edgar Mueller, Xiaoguang Lu, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu:
  Accurate Regression-Based 4D Mitral Valve Surface Reconstruction from 2D+t MRI Slices. 282-290
  
• Sina KhakAbi, Tim K. Lee, M. Stella Atkins:
  Tree Structured Model of Skin Lesion Growth Pattern via Color Based Cluster Analysis. 291-299
  
• Lichao Wang, Su-Lin Lee, Robert D. Merrifield, Guang-Zhong Yang:
  Subject-Specific Cardiac Segmentation Based on Reinforcement Learning with Shape Instantiation. 300-307
  
• Lei Xu, Branislav Stojkovic, Hu Ding, Qi Song, Xiaodong Wu, Milan Sonka, Jinhui Xu:
  Faster Segmentation Algorithm for Optical Coherence Tomography Images with Guaranteed Smoothness. 308-316
  
• Ahmad A. Hammoudi, Fuhai Li, Liang Gao, Zhiyong Wang, Michael J. Thrall, Yehia Massoud, Stephen T. C. Wong:
  Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks. 317-325
  
• Chetan Bhole, Nicholas Morsillo, Christopher Pal:
  3D Segmentation in CT Imagery with Conditional Random Fields and Histograms of Oriented Gradients. 326-334
  
• Kunlei Zhang, Wenmiao Lu:
  Automatic Human Knee Cartilage Segmentation from Multi-contrast MR Images Using Extreme Learning Machines and Discriminative Random Fields. 335-343
  
• Daoqiang Zhang, Dinggang Shen:
  MultiCost: Multi-stage Cost-sensitive Classification of Alzheimer's Disease. 344-351
  
• Mahesh Nagarajan, Markus Huber, Thomas Schlossbauer, Gerda L. Leinsinger, Andrzej Król, Axel Wismüller:
  Classifying Small Lesions on Breast MRI through Dynamic Enhancement Pattern Characterization. 352-359
  
• Jianwu Xu, Kenji Suzuki:
  Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques. 360-367
  

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