Table of Contents

• Segmentation of Right Ventricle in Cardiac MR Images Using Shape RegressionSuman Sedai, Pallab Kanti Roy, Rahil Garnavi. 1-8 [doi]
• Visual Saliency Based Active Learning for Prostate MRI SegmentationDwarikanath Mahapatra, Joachim M. Buhmann. 9-16 [doi]
• Soft-Split Random Forest for Anatomy LabelingGuangkai Ma, Yaozong Gao, Li Wang 0026, Ligang Wu, Dinggang Shen. 17-25 [doi]
• A New Image Data Set and Benchmark for Cervical Dysplasia Classification EvaluationTao Xu, Cheng Xin, L. Rodney Long, Sameer Antani, Zhiyun Xue, Edward Kim, Xiaolei Huang. 26-35 [doi]
• Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification MethodsBenjamin S. C. Wade, Shantanu H. Joshi, Boris A. Gutman, Paul M. Thompson. 36-43 [doi]
• Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity GraphsBernard Ng, Anna-Clare Milazzo, André Altmann. 44-51 [doi]
• BundleMAP: Anatomically Localized Features from dMRI for Detection of DiseaseMohammad Khatami, Tobias Schmidt-Wilcke, Pia C. Sundgren, Amin Abbasloo, Bernhard Schölkopf, Thomas Schultz 0001. 52-60 [doi]
• FADR: Functional-Anatomical Discriminative Regions for Rest fMRI CharacterizationMarta Nuñez Garcia, Sonja Simpraga, Maria Angeles Jurado, Maite Garolera, Roser Pueyo, Laura Igual. 61-68 [doi]
• Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent SpaceZuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen. 69-76 [doi]
• Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's DiseaseTong Tong, Katherine R. Gray, Qinquan Gao, Liang Chen, Daniel Rueckert. 77-84 [doi]
• HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local DescriptorXian-Hua Han, Yen-Wei Chen, Gang Xu. 85-93 [doi]
• Supervoxel Classification Forests for Estimating Pairwise Image CorrespondencesFahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker. 94-101 [doi]
• Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation ModelGuoyan Zheng, Weimin Yu. 102-109 [doi]
• Learning and Combining Image Similarities for Neonatal Brain Population StudiesVeronika A. M. Zimmer, Ben Glocker, Paul Aljabar, Serena J. Counsell, Mary A. Rutherford, A. David Edwards, Joseph V. Hajnal, Miguel Ángel González Ballester, Daniel Rueckert, Gemma Piella. 110-117 [doi]
• Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy ImagesNoel C. F. Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith. 118-126 [doi]
• Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse RepresentationYan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu 0001, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen. 127-135 [doi]
• Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus ImagesJulian G. Zilly, Joachim M. Buhmann, Dwarikanath Mahapatra. 136-143 [doi]
• Brain Fiber Clustering Using Non-negative Kernelized Matching PursuitKuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi. 144-152 [doi]
• Automatic Detection of Good/Bad Colonies of iPS Cells Using Local FeaturesAtsuki Masuda, Bisser Raytchev, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki, Kazufumi Kaneda. 153-160 [doi]
• Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo DevelopmentAisha Khan, Stephen Gould, Mathieu Salzmann. 161-169 [doi]
• Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter ConnectomesYan Jin, Chong-Yaw Wee, Feng Shi, Kim-Han Thung, Pew-Thian Yap, Dinggang Shen. 170-177 [doi]
• Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker LearningRicardo Guerrero, Christian Ledig, Alexander Schmidt-Richberg, Daniel Rueckert. 178-185 [doi]
• Multi-atlas Context Forests for Knee MR Image SegmentationQin Liu, Qian Wang, Lichi Zhang, Yaozong Gao, Dinggang Shen. 186-193 [doi]
• Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter LesionsSnehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham. 194-202 [doi]
• Hierarchical Multi-modal Image Registration by Learning Common Feature RepresentationsHongkun Ge, Guorong Wu, Li Wang, Yaozong Gao, Dinggang Shen. 203-211 [doi]
• Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and SupervoxelsPierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux. 212-219 [doi]
• Flexible and Latent Structured Output Learning - Application to HistologyGustavo Carneiro, Tingying Peng, Christine Bayer, Nassir Navab. 220-228 [doi]
• Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome DataDavy Vanderweyen, Brent C. Munsell, Jacobo E. Mintzer, Olga Mintzer, Andy Gajadhar, Xun Zhu, Guorong Wu, Jane E. Joseph. 229-237 [doi]
• Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's DiseaseBo Cheng, Mingxia Liu, Daoqiang Zhang. 238-245 [doi]
• Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's DiseaseLei Huang, Yaozong Gao, Yan Jin, Kim-Han Thung, Dinggang Shen. 246-254 [doi]
• Multi-view Classification for Identification of Alzheimer's DiseaseXiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen. 255-262 [doi]
• Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital PathologyMohammad Peikari, Judit T. Zubovits, Gina M. Clarke, Anne L. Martel. 263-270 [doi]
• A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT AngiographyYanling Chi, Weimin Huang, Jiayin Zhou, Liang Zhong, Swee Yaw Tan, Keng Yung Jih Felix, Low Choon Seng Sheon, Ru San Tan. 271-279 [doi]
• Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density EstimationMichaela Weingant, Hayley M. Reynolds, Annette Haworth, Catherine Mitchell, Scott Williams, Matthew D. DiFranco. 280-287 [doi]
• Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology FeaturesJiawen Yao, Dheeraj Ganti, Xin Luo, Guanghua Xiao, Yang Xie, Shirley Yan, JunZhou Huang. 288-295 [doi]
• Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment ClassificationMingxia Liu, Daoqiang Zhang, Dinggang Shen. 296-303 [doi]
• Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging AnalysisYani Chen, Bibo Shi, Charles D. Smith, Jundong Liu. 304-312 [doi]
• Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image DatasetXiao Liu, Jun Shi, Qi Zhang. 313-320 [doi]
• Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI DataTri Huynh, Yaozong Gao, Jiayin Kang, Li Wang, Pei Zhang, Dinggang Shen. 321-329 [doi]
• Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal RelationsBai Ying Lei, Siping Chen, Dong Ni, Tianfu Wang. 330-337 [doi]