13. MICCAI 2010:
Beijing, China - MLMI
Fei Wang, Pingkun Yan, Kenji Suzuki, Dinggang Shen (Eds.):
Machine Learning in Medical Imaging, First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings.
Lecture Notes in Computer Science 6357 Springer 2010, ISBN 978-3-642-15947-3 
- Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images.
1-9
- Xiao Dong, Huanxiang Lu, Yasuo Sakurai, Hitoshi Yamagata, Guoyan Zheng, Mauricio Reyes:
Automated Intervertebral Disc Detection from Low Resolution, Sparse MRI Images for the Planning of Scan Geometries.
10-17
- Wei Huang, Kap Luk Chan, Huiqi Li, Joo-Hwee Lim, Jiang Liu, Tien Yin Wong:
Content-Based Medical Image Retrieval with Metric Learning via Rank Correlation.
18-25
- Hayaru Shouno, Masato Okada:
A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference.
26-33
- Melanie Ganz, Mads Nielsen, Sami S. Brandt:
Patch-Based Generative Shape Model and MDL Model Selection for Statistical Analysis of Archipelagos.
34-41
- Hakim C. Achterberg, Fedde van der Lijn, Tom den Heijer, Aad van der Lugt, Monique M. B. Breteler, Wiro J. Niessen, Marleen de Bruijne:
Prediction of Dementia by Hippocampal Shape Analysis.
42-49
- Vincent Michel, Evelyn Eger, Christine Keribin, Bertrand Thirion:
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis.
50-57
- Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas:
Appearance Normalization of Histology Slides.
58-66
- Fangfang Zhou, Ying Zhao, Kwan-Liu Ma:
Parallel Mean Shift for Interactive Volume Segmentation.
67-75
- Bing Nan Li, Chee-Kong Chui, Sim Heng Ong, Toshikatsu Washio, Tomokazu Numano, Stephen K. Y. Chang, Sudhakar K. Venkatesh, Etsuko Kobayashi:
Soft Tissue Discrimination Using Magnetic Resonance Elastography with a New Elastic Level Set Model.
76-83
- Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu:
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization.
84-91
- Lin Zheng, Yingcai Wu, Kwan-Liu Ma:
Relation-Aware Spreadsheets for Multimodal Volume Segmentation and Visualization.
92-99
- Ching-Wei Wang:
A Bayesian Learning Application to Automated Tumour Segmentation for Tissue Microarray Analysis.
100-107
- Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef Abugharbieh:
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI.
108-115
- Robin Wolz, Paul Aljabar, Joseph V. Hajnal, Daniel Rueckert:
Manifold Learning for Biomarker Discovery in MR Imaging.
116-123
- Fuhai Li, Xiaobo Zhou, Stephen T. C. Wong:
Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images.
124-131
- André Gooßen, Thomas Pralow, Rolf-Rainer Grigat:
Fully Automatic Joint Segmentation for Computer-Aided Diagnosis and Planning.
132-139
- Chong-Yaw Wee, Pew-Thian Yap, Jeffery N. Brownyke, Guy G. Potter, David C. Steffens, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen:
Accurate Identification of MCI Patients via Enriched White-Matter Connectivity Network.
140-147
- Wei Bian, Jun Li, Dacheng Tao:
Feature Extraction for fMRI-Based Human Brain Activity Recognition.
148-156
- Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan:
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources.
157-164
- Yiming Xiao, Mohak Shah, Simon J. Francis, Douglas L. Arnold, Tal Arbel, D. Louis Collins:
Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis.
165-173
- Mitsutaka Nemoto, Yukihiro Nomura, Shohei Hanaoka, Yoshitaka Masutani, Takeharu Yoshikawa, Naoto Hayashi, Naoki Yoshioka, Kuni Ohtomo:
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images.
174-181
- Kenji Suzuki, Jianwu Xu, Jun Zhang, Ivan Sheu:
Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography.
182-189
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