Machine learning in medical imaging : 5th international workshop, mlmi 2014, held in conjunction with miccai 2014, boston, ma, usa, september 14, 2014. Proceedings / edited by Guorong Wu, Daoqiang Zhang, Luping Zhou.

Springer eBooks

 Sparsity-Learning-Based Longitudinal MR Image Registration for Early Brain Development -- Graph-Based Label Propagation in Fetal brain MR Images -- Deep Learning Based Automatic immune Cell Detection for Immunohistochemistry Images -- Stacked Multiscale Feature learning for Domain Independent Medical Image Segmentation -- Detection of Mammographic Masses by Content-Based Image Retrieval -- Inferring Sources of Dementia Progression with Network Diffusion Model -- 3D Intervertebral Disc Localization through Representation Learning with Knowledge Transfer -- Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification -- Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression -- Manifold Alignment and Transfer Learning for Classification of Alzheimer’s Disease -- Gleason Grading of Prostate Tumors with Max-Margin Conditional Random Fields -- Learning Distance Transform for Boundary Detection and Deformable Segmentation in CT Prostate Images -- Geodesic Geometric mean of Regional Covariance Descriptors as an Image-Level Descriptor for nuclear Atypia Grading in Breast Images -- A constrained Regression Forests Solution to 3D Fetal Ultrasound Plane Localization for Longitudinal Analysis of Brain Growth and Maturation -- Deep Learning of Image Features from Unlabeled Data for Multiple Sclerosis Lesion Segmentation -- Fetal Abdominal Standard Plane Localization through Representation Learning with Knowledge Transfer -- Searching for Structures of Interest in an Ultrasound Video Sequence -- Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer’s Disease -- Automatic Bone and Marrow Extraction from Dual Energy CT through SVM Margin-Based Multi-Material Decomposition Model Selection -- Sparse Discriminative Feature Selection for Multi-Class Alzheimer’s Disease Classification -- Context-aware Anatomical Landmark Detection: Application to Deformable Model Initialization in Prostate CT Images -- Optimal MAP Parameters Estimation in STAPLE-Learning from Performance Parameters versus Image Similarity Information -- Colon Biopsy Classification Using Crypt Architecture -- Network Guided Group Feature Selection for Classification of Autism Spectrum Disorder -- Deformation Field Correction for Spatial Normalization of PET Images Using a Population-derived Partial Least Squares Model -- Novel Multi-Atlas Segmentation by Matrix Completion -- Structured Random Forest for Myocardium Delineation in 3D Echocardiography -- Improved Reproducibility of Neuroanatomical Definition through Diffeomorphometry and Complexity Reduction -- Topological Descriptors of Histology Images -- Robust Deep Learning for Improved Classification of AD/MCI Patients -- Subject Specific Sparse Dictionary Learning for Atlas Based Brain MRI Segmentation -- Online Discriminative Multi-Atlas Learning with Application to Isointense Infant Brain Segmentation.  .

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