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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

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Cover of 'Medical Image Computing and Computer Assisted Intervention – MICCAI 2023'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Bleeding Risk Rating System of Gastric Varices
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    Chapter 2 You Don’t Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images
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    Chapter 3 SHISRCNet: Super-Resolution and Classification Network for Low-Resolution Breast Cancer Histopathology Image
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    Chapter 4 cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations
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    Chapter 5 YONA: You Only Need One Adjacent Reference-Frame for Accurate and Fast Video Polyp Detection
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    Chapter 6 Personalized Patch-Based Normality Assessment of Brain Atrophy in Alzheimer’s Disease
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    Chapter 7 Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis
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    Chapter 8 Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network
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    Chapter 9 Self- and Semi-supervised Learning for Gastroscopic Lesion Detection
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    Chapter 10 DiffULD: Diffusive Universal Lesion Detection
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    Chapter 11 Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies
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    Chapter 12 Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images
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    Chapter 13 Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus
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    Chapter 14 Multi-view Vertebra Localization and Identification from CT Images
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    Chapter 15 Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans
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    Chapter 16 Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
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    Chapter 17 Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis
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    Chapter 18 A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging
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    Chapter 19 Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports
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    Chapter 20 Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists
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    Chapter 21 Privacy-Preserving Early Detection of Epileptic Seizures in Videos
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    Chapter 22 Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning
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    Chapter 23 Discovering Brain Network Dysfunction in Alzheimer’s Disease Using Brain Hypergraph Neural Network
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    Chapter 24 Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer
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    Chapter 25 Contrastive Feature Decoupling for Weakly-Supervised Disease Detection
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    Chapter 26 Uncovering Heterogeneity in Alzheimer’s Disease from Graphical Modeling of the Tau Spatiotemporal Topography
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    Chapter 27 Text-Guided Foundation Model Adaptation for Pathological Image Classification
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    Chapter 28 Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models
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    Chapter 29 Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection
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    Chapter 30 What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection
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    Chapter 31 SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings
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    Chapter 32 Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection
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    Chapter 33 DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation
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    Chapter 34 Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding
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    Chapter 35 CARL: Cross-Aligned Representation Learning for Multi-view Lung Cancer Histology Classification
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    Chapter 36 Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery
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    Chapter 37 COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities
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    Chapter 38 Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
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    Chapter 39 Uncertainty Inspired Autism Spectrum Disorder Screening
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    Chapter 40 Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting
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    Chapter 41 Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
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    Chapter 42 Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
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    Chapter 43 Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers
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    Chapter 44 Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer’s Disease from Multi-site Structural MRI
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    Chapter 45 GSDG: Exploring a Global Semantic-Guided Dual-Stream Graph Model for Automated Volume Differential Diagnosis and Prognosis
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    Chapter 46 Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models
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    Chapter 47 Diversity-Preserving Chest Radiographs Generation from Reports in One Stage
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    Chapter 48 Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
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    Chapter 49 Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography
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    Chapter 50 Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model
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    Chapter 51 Recruiting the Best Teacher Modality: A Customized Knowledge Distillation Method for if Based Nephropathy Diagnosis
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    Chapter 52 Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image
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    Chapter 53 Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
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    Chapter 54 Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion
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    Chapter 55 Self-supervised Learning for Endoscopic Video Analysis
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    Chapter 56 Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images
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    Chapter 57 Self-supervised Polyp Re-identification in Colonoscopy
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    Chapter 58 A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics
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    Chapter 59 Visual Grounding of Whole Radiology Reports for 3D CT Images
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    Chapter 60 Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics
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    Chapter 61 Revisiting Feature Propagation and Aggregation in Polyp Segmentation
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    Chapter 62 MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis
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    Chapter 63 Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation
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    Chapter 64 How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?
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    Chapter 65 Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study
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    Chapter 66 Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images
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    Chapter 67 Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning
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    Chapter 68 Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT
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    Chapter 69 Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
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    Chapter 70 Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models
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    Chapter 71 Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps
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    Chapter 72 Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification
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    Chapter 73 Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies
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    Chapter 74 Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI
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    Chapter 75 M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector
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    Chapter 76 Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis
Overall attention for this book and its chapters
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Title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
Published by
Springer Nature Switzerland, October 2023
DOI 10.1007/978-3-031-43904-9
ISBNs
978-3-03-143903-2, 978-3-03-143904-9
Editors

Greenspan, Hayit, Madabhushi, Anant, Mousavi, Parvin, Salcudean, Septimiu, Duncan, James, Syeda-Mahmood, Tanveer, Taylor, Russell

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