Machine Learning in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis
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   Chapter 2 Robust Contextual Bandit via the Capped- $$\ell _{2}$$ ℓ 2 Norm for Mobile Health Intervention
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   Chapter 3 Dynamic Multi-scale CNN Forest Learning for Automatic Cervical Cancer Segmentation
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   Chapter 4 Multi-task Fundus Image Quality Assessment via Transfer Learning and Landmarks Detection
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   Chapter 5 End-to-End Lung Nodule Detection in Computed Tomography
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   Chapter 6 CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement
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   Chapter 7 Deep Learning Based Inter-modality Image Registration Supervised by Intra-modality Similarity
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   Chapter 8 Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis
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    Chapter 9 Joint Registration And Segmentation Of Xray Images Using Generative Adversarial Networks
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    Chapter 10 SCCA-Ref: Novel Sparse Canonical Correlation Analysis with Reference to Discover Independent Spatial Associations Between White Matter Hyperintensities and Atrophy
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    Chapter 11 Synthesizing Dynamic MRI Using Long-Term Recurrent Convolutional Networks
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    Chapter 12 Automatically Designing CNN Architectures for Medical Image Segmentation
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    Chapter 13 Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features
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    Chapter 14 Can Dilated Convolutions Capture Ultrasound Video Dynamics?
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    Chapter 15 Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net
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    Chapter 16 Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition
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    Chapter 17 Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation
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    Chapter 18 Brain Status Prediction with Non-negative Projective Dictionary Learning
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    Chapter 19 Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images
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    Chapter 20 Retinal Blood Vessel Segmentation Using a Fully Convolutional Network – Transfer Learning from Patch- to Image-Level
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    Chapter 21 Combining Deep Learning and Active Contours Opens The Way to Robust, Automated Analysis of Brain Cytoarchitectonics
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    Chapter 22 Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip
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    Chapter 23 Adversarial Image Registration with Application for MR and TRUS Image Fusion
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    Chapter 24 Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
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    Chapter 25 Competition vs. Concatenation in Skip Connections of Fully Convolutional Networks
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    Chapter 26 Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation
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    Chapter 27 Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network
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    Chapter 28 Nuclei Detection Using Mixture Density Networks
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    Chapter 29 Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs
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    Chapter 30 Graph of Hippocampal Subfields Grading for Alzheimer’s Disease Prediction
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    Chapter 31 Deep Multiscale Convolutional Feature Learning for Weakly Supervised Localization of Chest Pathologies in X-ray Images
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    Chapter 32 Combining Heterogeneously Labeled Datasets For Training Segmentation Networks
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    Chapter 33 SoLiD: Segmentation of Clostridioides Difficile Cells in the Presence of Inhomogeneous Illumination Using a Deep Adversarial Network
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    Chapter 34 On the Adaptability of Unsupervised CNN-Based Deformable Image Registration to Unseen Image Domains
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    Chapter 35 Early Diagnosis of Autism Disease by Multi-channel CNNs
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    Chapter 36 Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson’s Disease Diagnosis
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    Chapter 37 Prostate Cancer Classification on VERDICT DW-MRI Using Convolutional Neural Networks
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    Chapter 38 Detection of the Pharyngeal Phase in the Videofluoroscopic Swallowing Study Using Inflated 3D Convolutional Networks
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    Chapter 39 End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification
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    Chapter 40 Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes
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    Chapter 41 Masseter Segmentation from Computed Tomography Using Feature-Enhanced Nested Residual Neural Network
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    Chapter 42 Iterative Interaction Training for Segmentation Editing Networks
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    Chapter 43 Temporal Consistent 2D-3D Registration of Lateral Cephalograms and Cone-Beam Computed Tomography Images
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    Chapter 44 Computation of Total Kidney Volume from CT Images in Autosomal Dominant Polycystic Kidney Disease Using Multi-task 3D Convolutional Neural Networks
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    Chapter 45 Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization
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    Chapter 46 Deep Learning for Fast and Spatially-Constrained Tissue Quantification from Highly-Undersampled Data in Magnetic Resonance Fingerprinting (MRF)