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Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Overview of attention for book
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation
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    Chapter 2 Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
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    Chapter 3 Deep is a Luxury We Don’t Have
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    Chapter 4 PD-DWI: Predicting Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer with Physiologically-Decomposed Diffusion-Weighted MRI Machine-Learning Model
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    Chapter 5 Transformer Based Multi-view Network for Mammographic Image Classification
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    Chapter 6 Intra-class Contrastive Learning Improves Computer Aided Diagnosis of Breast Cancer in Mammography
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    Chapter 7 BoxPolyp: Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations
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    Chapter 8 FFCNet: Fourier Transform-Based Frequency Learning and Complex Convolutional Network for Colon Disease Classification
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    Chapter 9 Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
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    Chapter 10 Lesion-Aware Dynamic Kernel for Polyp Segmentation
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    Chapter 11 Stepwise Feature Fusion: Local Guides Global
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    Chapter 12 Stay Focused - Enhancing Model Interpretability Through Guided Feature Training
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    Chapter 13 On the Uncertain Single-View Depths in Colonoscopies
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    Chapter 14 Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-Modal Representation Consistency
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    Chapter 15 TGANet: Text-Guided Attention for Improved Polyp Segmentation
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    Chapter 16 SATr: Slice Attention with Transformer for Universal Lesion Detection
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    Chapter 17 MAL: Multi-modal Attention Learning for Tumor Diagnosis Based on Bipartite Graph and Multiple Branches
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    Chapter 18 Optimal Transport Based Ordinal Pattern Tree Kernel for Brain Disease Diagnosis
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    Chapter 19 Dynamic Bank Learning for Semi-supervised Federated Image Diagnosis with Class Imbalance
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    Chapter 20 Coronary R-CNN: Vessel-Wise Method for Coronary Artery Lesion Detection and Analysis in Coronary CT Angiography
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    Chapter 21 Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification
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    Chapter 22 CephalFormer: Incorporating Global Structure Constraint into Visual Features for General Cephalometric Landmark Detection
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    Chapter 23 ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans
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    Chapter 24 Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays
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    Chapter 25 Did You Get What You Paid For? Rethinking Annotation Cost of Deep Learning Based Computer Aided Detection in Chest Radiographs
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    Chapter 26 Context-Aware Transformers for Spinal Cancer Detection and Radiological Grading
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    Chapter 27 End-to-End Evidential-Efficient Net for Radiomics Analysis of Brain MRI to Predict Oncogene Expression and Overall Survival
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    Chapter 28 Denoising of 3D MR Images Using a Voxel-Wise Hybrid Residual MLP-CNN Model to Improve Small Lesion Diagnostic Confidence
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    Chapter 29 ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment
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    Chapter 30 Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
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    Chapter 31 Interaction-Oriented Feature Decomposition for Medical Image Lesion Detection
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    Chapter 32 Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis
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    Chapter 33 Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging
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    Chapter 34 Joint Prediction of Meningioma Grade and Brain Invasion via Task-Aware Contrastive Learning
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    Chapter 35 Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI
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    Chapter 36 Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
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    Chapter 37 A Penalty Approach for Normalizing Feature Distributions to Build Confounder-Free Models
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    Chapter 38 mulEEG: A Multi-view Representation Learning on EEG Signals
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    Chapter 39 Automatic Detection of Steatosis in Ultrasound Images with Comparative Visual Labeling
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    Chapter 40 Automation of Clinical Measurements on Radiographs of Children’s Hips
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    Chapter 41 Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
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    Chapter 42 Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans
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    Chapter 43 Overlooked Trustworthiness of Saliency Maps
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    Chapter 44 Flexible Sampling for Long-Tailed Skin Lesion Classification
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    Chapter 45 A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images
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    Chapter 46 Deep Treatment Response Assessment and Prediction of Colorectal Cancer Liver Metastases
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    Chapter 47 CACTUSS: Common Anatomical CT-US Space for US Examinations
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    Chapter 48 INSightR-Net: Interpretable Neural Network for Regression Using Similarity-Based Comparisons to Prototypical Examples
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    Chapter 49 Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis
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    Chapter 51 Spatiotemporal Attention for Early Prediction of Hepatocellular Carcinoma Based on Longitudinal Ultrasound Images
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    Chapter 52 NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification
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    Chapter 53 Local Graph Fusion of Multi-view MR Images for Knee Osteoarthritis Diagnosis
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    Chapter 54 DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform
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    Chapter 55 Graph Convolutional Network with Probabilistic Spatial Regression: Application to Craniofacial Landmark Detection from 3D Photogrammetry
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    Chapter 56 Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays
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    Chapter 57 Skin Lesion Recognition with Class-Hierarchy Regularized Hyperbolic Embeddings
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    Chapter 58 Reinforcement Learning Driven Intra-modal and Inter-modal Representation Learning for 3D Medical Image Classification
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    Chapter 59 A New Dataset and a Baseline Model for Breast Lesion Detection in Ultrasound Videos
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    Chapter 60 RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data
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    Chapter 61 Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
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    Chapter 62 Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging
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    Chapter 63 A Medical Semantic-Assisted Transformer for Radiographic Report Generation
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    Chapter 64 Personalized Diagnostic Tool for Thyroid Cancer Classification Using Multi-view Ultrasound
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    Chapter 65 Morphology-Aware Interactive Keypoint Estimation
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    Chapter 66 GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework
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    Chapter 67 Deep Reinforcement Learning for Detection of Inner Ear Abnormal Anatomy in Computed Tomography
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    Chapter 68 Vision-Language Contrastive Learning Approach to Robust Automatic Placenta Analysis Using Photographic Images
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    Chapter 69 Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
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    Chapter 70 Federated Medical Image Analysis with Virtual Sample Synthesis
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    Chapter 71 Unsupervised Cross-Domain Feature Extraction for Single Blood Cell Image Classification
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    Chapter 72 Attentional Generative Multimodal Network for Neonatal Postoperative Pain Estimation
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    Chapter 73 Deep Learning Based Modality-Independent Intracranial Aneurysm Detection
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    Chapter 74 LIDP: A Lung Image Dataset with Pathological Information for Lung Cancer Screening
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    Chapter 75 Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging
Attention for Chapter 2: Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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