Machine Learning in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 GEMTrans: A General, Echocardiography-Based, Multi-level Transformer Framework for Cardiovascular Diagnosis
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   Chapter 2 Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder
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   Chapter 3 LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image
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   Chapter 4 Identifying Alzheimer’s Disease-Induced Topology Alterations in Structural Networks Using Convolutional Neural Networks
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   Chapter 5 Specificity-Aware Federated Graph Learning for Brain Disorder Analysis with Functional MRI
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   Chapter 6 3D Transformer Based on Deformable Patch Location for Differential Diagnosis Between Alzheimer’s Disease and Frontotemporal Dementia
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   Chapter 7 Consisaug: A Consistency-Based Augmentation for Polyp Detection in Endoscopy Image Analysis
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   Chapter 8 Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis
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    Chapter 9 Modeling Life-Span Brain Age from Large-Scale Dataset Based on Multi-level Information Fusion
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    Chapter 10 Boundary-Constrained Graph Network for Tooth Segmentation on 3D Dental Surfaces
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    Chapter 11 FAST-Net: A Coarse-to-fine Pyramid Network for Face-Skull Transformation
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    Chapter 12 Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping
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    Chapter 13 Consistency Loss for Improved Colonoscopy Landmark Detection with Vision Transformers
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    Chapter 14 Radiomics Boosts Deep Learning Model for IPMN Classification
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    Chapter 15 Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection
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    Chapter 16 Enhancing Anomaly Detection in Melanoma Diagnosis Through Self-Supervised Training and Lesion Comparison
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    Chapter 17 DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis
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    Chapter 18 Precise Localization Within the GI Tract by Combining Classification of CNNs and Time-Series Analysis of HMMs
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    Chapter 19 Towards Unified Modality Understanding for Alzheimer’s Disease Diagnosis Using Incomplete Multi-modality Data
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    Chapter 20 COVID-19 Diagnosis Based on Swin Transformer Model with Demographic Information Fusion and Enhanced Multi-head Attention Mechanism
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    Chapter 21 MoViT: Memorizing Vision Transformers for Medical Image Analysis
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    Chapter 22 Fact-Checking of AI-Generated Reports
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    Chapter 23 Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis
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    Chapter 24 Group Distributionally Robust Knowledge Distillation
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    Chapter 25 A Bone Lesion Identification Network (BLIN) in CT Images with Weakly Supervised Learning
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    Chapter 26 Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
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    Chapter 27 Data-Driven Classification of Fatty Liver From 3D Unenhanced Abdominal CT Scans
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    Chapter 28 Replica-Based Federated Learning with Heterogeneous Architectures for Graph Super-Resolution
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    Chapter 29 A Multitask Deep Learning Model for Voxel-Level Brain Age Estimation
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    Chapter 30 Deep Nearest Neighbors for Anomaly Detection in Chest X-Rays
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    Chapter 31 CCMix: Curriculum of Class-Wise Mixup for Long-Tailed Medical Image Classification
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    Chapter 32 MEDKD: Enhancing Medical Image Classification with Multiple Expert Decoupled Knowledge Distillation for Long-Tail Data
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    Chapter 33 Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
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    Chapter 34 Non-uniform Sampling-Based Breast Cancer Classification
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    Chapter 35 A Scaled Denoising Attention-Based Transformer for Breast Cancer Detection and Classification
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    Chapter 36 Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes
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    Chapter 37 Delving into Ipsilateral Mammogram Assessment Under Multi-view Network
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    Chapter 38 ARHNet: Adaptive Region Harmonization for Lesion-Aware Augmentation to Improve Segmentation Performance
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    Chapter 39 Normative Aging for an Individual’s Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration
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    Chapter 40 Deep Bayesian Quantization for Supervised Neuroimage Search
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    Chapter 41 Triplet Learning for Chest X-Ray Image Search in Automated COVID-19 Analysis
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    Chapter 42 Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
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    Chapter 43 Enhanced Diagnostic Fidelity in Pathology Whole Slide Image Compression via Deep Learning
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    Chapter 44 RoFormer for Position Aware Multiple Instance Learning in Whole Slide Image Classification
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    Chapter 45 Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
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    Chapter 46 NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images
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    Chapter 47 Regionalized Infant Brain Cortical Development Based on Multi-view, High-Level fMRI Fingerprint