Machine Learning in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder Analysis
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   Chapter 2 Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
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   Chapter 3 Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction
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   Chapter 4 Student Becomes Decathlon Master in Retinal Vessel Segmentation via Dual-Teacher Multi-target Domain Adaptation
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   Chapter 5 Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN
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   Chapter 6 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient
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   Chapter 7 A More Design-Flexible Medical Transformer for Volumetric Image Segmentation
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   Chapter 8 Dcor-VLDet: A Vertebra Landmark Detection Network for Scoliosis Assessment with Dual Coordinate System
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    Chapter 9 Plug-and-Play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping
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    Chapter 10 A Coarse-to-Fine Network for Craniopharyngioma Segmentation
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    Chapter 11 Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring
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    Chapter 12 AutoMO-Mixer: An Automated Multi-objective Mixer Model for Balanced, Safe and Robust Prediction in Medicine
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    Chapter 13 Memory Transformers for Full Context and High-Resolution 3D Medical Segmentation
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    Chapter 14 Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification
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    Chapter 15 Cross Task Temporal Consistency for Semi-supervised Medical Image Segmentation
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    Chapter 16 U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?
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    Chapter 17 UNet-eVAE: Iterative Refinement Using VAE Embodied Learning for Endoscopic Image Segmentation
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    Chapter 18 Dynamic Linear Transformer for 3D Biomedical Image Segmentation
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    Chapter 19 Automatic Grading of Emphysema by Combining 3D Lung Tissue Appearance and Deformation Map Using a Two-Stream Fully Convolutional Neural Network
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    Chapter 20 A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure
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    Chapter 21 Fast Image-Level MRI Harmonization via Spectrum Analysis
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    Chapter 22 CT2CXR: CT-based CXR Synthesis for Covid-19 Pneumonia Classification
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    Chapter 23 Harmonization of Multi-site Cortical Data Across the Human Lifespan
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    Chapter 24 Head and Neck Vessel Segmentation with Connective Topology Using Affinity Graph
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    Chapter 25 Coarse Retinal Lesion Annotations Refinement via Prototypical Learning
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    Chapter 26 Nuclear Segmentation and Classification: On Color and Compression Generalization
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    Chapter 27 Understanding Clinical Progression of Late-Life Depression to Alzheimer’s Disease Over 5 Years with Structural MRI
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    Chapter 28 ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition
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    Chapter 29 Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition
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    Chapter 30 Driving Points Prediction for Abdominal Probabilistic Registration
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    Chapter 31 CircleSnake: Instance Segmentation with Circle Representation
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    Chapter 32 Vertebrae Localization, Segmentation and Identification Using a Graph Optimization and an Anatomic Consistency Cycle
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    Chapter 33 Coronary Ostia Localization Using Residual U-Net with Heatmap Matching and 3D DSNT
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    Chapter 34 AMLP-Conv, a 3D Axial Long-range Interaction Multilayer Perceptron for CNNs
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    Chapter 35 Neural State-Space Modeling with Latent Causal-Effect Disentanglement
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    Chapter 36 Adaptive Unified Contrastive Learning for Imbalanced Classification
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    Chapter 37 Prediction of HPV-Associated Genetic Diversity for Squamous Cell Carcinoma of Head and Neck Cancer Based on $$^{18}$$ 18 F-FDG PET/CT
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    Chapter 38 TransWS: Transformer-Based Weakly Supervised Histology Image Segmentation
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    Chapter 39 Contextual Attention Network: Transformer Meets U-Net
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    Chapter 40 Intelligent Masking: Deep Q-Learning for Context Encoding in Medical Image Analysis
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    Chapter 41 A New Lightweight Architecture and a Class Imbalance Aware Loss Function for Multi-label Classification of Intracranial Hemorrhages
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    Chapter 42 Spherical Transformer on Cortical Surfaces
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    Chapter 43 Accurate Localization of Inner Ear Regions of Interests Using Deep Reinforcement Learning
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    Chapter 44 Shifted Windows Transformers for Medical Image Quality Assessment
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    Chapter 45 Multi-scale Multi-structure Siamese Network (MMSNet) for Primary Open-Angle Glaucoma Prediction
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    Chapter 46 HealNet - Self-supervised Acute Wound Heal-Stage Classification
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    Chapter 47 Federated Tumor Segmentation with Patch-Wise Deep Learning Model
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    Chapter 48 Multi-scale and Focal Region Based Deep Learning Network for Fine Brain Parcellation