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Segmentation of Right Ventricle in Cardiac MR Images Using Shape Regression |
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1 | (8) |
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Visual Saliency Based Active Learning for Prostate MRI Segmentation |
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9 | (8) |
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Soft-Split Random Forest for Anatomy Labeling |
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17 | (9) |
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A New Image Data Set and Benchmark for Cervical Dysplasia Classification Evaluation |
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26 | (10) |
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Machine Learning on High Dimensional Shape Data from Subcortical Brain Surfaces: A Comparison of Feature Selection and Classification Methods |
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36 | (8) |
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Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs |
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44 | (8) |
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BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease |
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52 | (9) |
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FADR: Functional-Anatomical Discriminative Regions for Rest fMRI Characterization |
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61 | (8) |
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Craniomaxillofacial Deformity Correction via Sparse Representation in Coherent Space |
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69 | (8) |
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Nonlinear Graph Fusion for Multi-modal Classification of Alzheimer's Disease |
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77 | (8) |
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HEp-2 Staining Pattern Recognition Using Stacked Fisher Network for Encoding Weber Local Descriptor |
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85 | (9) |
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Supervoxel Classification Forests for Estimating Pairwise Image Correspondences |
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94 | (8) |
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Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation Model |
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102 | (8) |
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Learning and Combining Image Similarities for Neonatal Brain Population Studies |
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110 | (8) |
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Miguel Angel Gonzalez Ballester |
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Deep Learning, Sparse Coding, and SVM for Melanoma Recognition in Dermoscopy Images |
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118 | (9) |
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Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation |
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127 | (9) |
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Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images |
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136 | (8) |
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Brain Fiber Clustering Using Non-negative Kernelized Matching Pursuit |
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144 | (9) |
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Automatic Detection of Good/Bad Colonies of iPS Cells Using Local Features |
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153 | (8) |
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Detecting Abnormal Cell Division Patterns in Early Stage Human Embryo Development |
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161 | (9) |
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Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes |
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170 | (8) |
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Group-Constrained Laplacian Eigenmaps: Longitudinal AD Biomarker Learning |
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178 | (8) |
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Multi-atlas Context Forests for Knee MR Image Segmentation |
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186 | (8) |
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Longitudinal Patch-Based Segmentation of Multiple Sclerosis White Matter Lesions |
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194 | (9) |
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Hierarchical Multi-modal Image Registration by Learning Common Feature Representations |
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203 | (9) |
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Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels |
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212 | (8) |
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Flexible and Latent Structured Output Learning: Application to Histology |
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220 | (9) |
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Identifying Abnormal Network Alterations Common to Traumatic Brain Injury and Alzheimer's Disease Patients Using Functional Connectome Data |
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229 | (9) |
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Multimodal Multi-label Transfer Learning for Early Diagnosis of Alzheimer's Disease |
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238 | (8) |
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Soft-Split Sparse Regression Based Random Forest for Predicting Future Clinical Scores of Alzheimer's Disease |
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246 | (9) |
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Multi-view Classification for Identification of Alzheimer's Disease |
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255 | (8) |
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Clustering Analysis for Semi-supervised Learning Improves Classification Performance of Digital Pathology |
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263 | (8) |
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A Composite of Features for Learning-Based Coronary Artery Segmentation on Cardiac CT Angiography |
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271 | (9) |
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Ensemble Prostate Tumor Classification in H&E Whole Slide Imaging via Stain Normalization and Cell Density Estimation |
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280 | (8) |
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Computer-Assisted Diagnosis of Lung Cancer Using Quantitative Topology Features |
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288 | (8) |
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Inherent Structure-Guided Multi-view Learning for Alzheimer's Disease and Mild Cognitive Impairment Classification |
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296 | (8) |
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Nonlinear Feature Transformation and Deep Fusion for Alzheimer's Disease Staging Analysis |
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304 | (9) |
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Tumor Classification by Deep Polynomial Network and Multiple Kernel Learning on Small Ultrasound Image Dataset |
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313 | (8) |
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Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data |
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321 | (9) |
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Joint Learning of Multiple Longitudinal Prediction Models by Exploring Internal Relations |
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330 | (9) |
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| Author Index |
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339 | |
Lisainfo e-raamatute kohta