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ORCID2nd MLMI@MICCAI 2011: Toronto, Canada
- Kenji Suzuki
, Fei Wang, Dinggang Shen, Pingkun Yan:
Machine Learning in Medical Imaging - Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Lecture Notes in Computer Science 7009, Springer 2011, ISBN 978-3-642-24318-9 - 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 T. 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 A. 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 Anthony 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 Rich 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 M. 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, Debrup 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 J. 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 B. Nagarajan, Markus B. 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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