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Machine Learning in Medical Imaging [2014]

1
Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development
9
Graph-Based Label Propagation in Fetal Brain MR Images
17
Deep Learning Based Automatic Immune Cell Detection for Immunohistochemistry Images
25
Stacked Multiscale Feature Learning for Domain Independent Medical Image Segmentation
33
Detection of Mammographic Masses by Content-Based Image Retrieval
42
Inferring Sources of Dementia Progression with Network Diffusion Model
50
3D Intervertebral Disc Localization and Segmentation from MR Images by Data-Driven Regression and Classification
59
Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification
68
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression
77
Manifold Alignment and Transfer Learning for Classification of Alzheimer’s Disease
85
Gleason Grading of Prostate Tumours with Max-Margin Conditional Random Fields
93
Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images
101
Geodesic Geometric Mean of Regional Covariance Descriptors as an Image-Level Descriptor for Nuclear Atypia Grading in Breast Histology Images
109
A Constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation
117
Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation
125
Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer
133
Searching for Structures of Interest in an Ultrasound Video Sequence
141
Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer’s Disease
149
Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection
157
Sparse Discriminative Feature Selection for Multi-class Alzheimer’s Disease Classification
165
Context-Aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images
174
Optimal MAP Parameters Estimation in STAPLE - Learning from Performance Parameters versus Image Similarity Information
182
Colon Biopsy Classification Using Crypt Architecture
190
Network-Guided Group Feature Selection for Classification of Autism Spectrum Disorder
198
Deformation Field Correction for Spatial Normalization of PET Images Using a Population-Derived Partial Least Squares Model
207
Novel Multi-Atlas Segmentation by Matrix Completion
215
Structured Random Forests for Myocardium Delineation in 3D Echocardiography
223
Improved Reproducibility of Neuroanatomical Definitions through Diffeomorphometry and Complexity Reduction
231
Topological Descriptors of Histology Images
240
Robust Deep Learning for Improved Classification of AD/MCI Patients
248
Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation
256
Multi-atlas Segmentation with Learning-Based Label Fusion
264
Interactive Prostate Segmentation Based on Adaptive Feature Selection and Manifold Regularization
272
Feature Selection Based on SVM Significance Maps for Classification of Dementia
280
Prediction of Standard-Dose PET Image by Low-Dose PET and MRI Images
289
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data
297
Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation
306
Persistent Reeb Graph Matching for Fast Brain Search
314
In Vivo MRI Based Prostate Cancer Identification with Random Forests and Auto-context Model
323
Learning of Atlas Forest Hierarchy for Automatic Labeling of MR Brain Images
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