Machine Learning in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph
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   Chapter 2 Bilateral Regularization in Reproducing Kernel Hilbert Spaces for Discontinuity Preserving Image Registration
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   Chapter 3 Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection
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   Chapter 4 Building an Ensemble of Complementary Segmentation Methods by Exploiting Probabilistic Estimates
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   Chapter 5 Learning Appearance and Shape Evolution for Infant Image Registration in the First Year of Life
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   Chapter 6 Detecting Osteophytes in Radiographs of the Knee to Diagnose Osteoarthritis
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   Chapter 7 Direct Estimation of Fiber Orientations Using Deep Learning in Diffusion Imaging
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   Chapter 8 Segmentation of Perivascular Spaces Using Vascular Features and Structured Random Forest from 7T MR Image
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    Chapter 9 Dual-Layer Groupwise Registration for Consistent Labeling of Longitudinal Brain Images
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    Chapter 10 Joint Discriminative and Representative Feature Selection for Alzheimer’s Disease Diagnosis
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    Chapter 11 Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method
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    Chapter 12 Improving Single-Modal Neuroimaging Based Diagnosis of Brain Disorders via Boosted Privileged Information Learning Framework
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    Chapter 13 A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation
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    Chapter 14 Deep Ensemble Sparse Regression Network for Alzheimer’s Disease Diagnosis
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    Chapter 15 Learning Representation for Histopathological Image with Quaternion Grassmann Average Network
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    Chapter 16 Learning Global and Cluster-Specific Classifiers for Robust Brain Extraction in MR Data
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    Chapter 17 Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations and Atlas Location Autocontext
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    Chapter 18 Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection
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    Chapter 19 Segmentation-Free Estimation of Kidney Volumes in CT with Dual Regression Forests
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    Chapter 20 Multi-resolution-Tract CNN with Hybrid Pretrained and Skin-Lesion Trained Layers
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    Chapter 21 Retinal Image Quality Classification Using Saliency Maps and CNNs
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    Chapter 22 Unsupervised Discovery of Emphysema Subtypes in a Large Clinical Cohort
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    Chapter 23 Tree-Based Transforms for Privileged Learning
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    Chapter 24 Automated 3D Ultrasound Biometry Planes Extraction for First Trimester Fetal Assessment
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    Chapter 25 Learning for Graph-Based Sensorless Freehand 3D Ultrasound
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    Chapter 26 Learning-Based 3T Brain MRI Segmentation with Guidance from 7T MRI Labeling
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    Chapter 27 Transductive Maximum Margin Classification of ADHD Using Resting State fMRI
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    Chapter 28 Automatic Hippocampal Subfield Segmentation from 3T Multi-modality Images
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    Chapter 29 Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs
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    Chapter 30 Functional Connectivity Network Fusion with Dynamic Thresholding for MCI Diagnosis
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    Chapter 31 Sparse Coding Based Skin Lesion Segmentation Using Dynamic Rule-Based Refinement
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    Chapter 32 Structure Fusion for Automatic Segmentation of Left Atrial Aneurysm Based on Deep Residual Networks
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    Chapter 33 Tumor Lesion Segmentation from 3D PET Using a Machine Learning Driven Active Surface
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    Chapter 34 Iterative Dual LDA: A Novel Classification Algorithm for Resting State fMRI
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    Chapter 35 Mitosis Detection in Intestinal Crypt Images with Hough Forest and Conditional Random Fields
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    Chapter 36 Comparison of Multi-resolution Analysis Patterns for Texture Classification of Breast Tumors Based on DCE-MRI
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    Chapter 37 Novel Morphological Features for Non-mass-like Breast Lesion Classification on DCE-MRI
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    Chapter 38 Fast Neuroimaging-Based Retrieval for Alzheimer’s Disease Analysis