Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Table of Contents

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   Book Overview
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   Chapter 1 Mining Negative Temporal Contexts for False Positive Suppression in Real-Time Ultrasound Lesion Detection
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   Chapter 2 Combat Long-Tails in Medical Classification with Relation-Aware Consistency and Virtual Features Compensation
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   Chapter 3 Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering
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   Chapter 4 Joint Segmentation and Sub-pixel Localization in Structured Light Laryngoscopy
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   Chapter 5 A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images
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   Chapter 6 HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis
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   Chapter 7 SegNetr: Rethinking the Local-Global Interactions and Skip Connections in U-Shaped Networks
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   Chapter 8 Gradient and Feature Conformity-Steered Medical Image Classification with Noisy Labels
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    Chapter 9 Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information
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    Chapter 10 DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
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    Chapter 11 Whole-Heart Reconstruction with Explicit Topology Integrated Learning
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    Chapter 12 Enhancing Automatic Placenta Analysis Through Distributional Feature Recomposition in Vision-Language Contrastive Learning
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    Chapter 13 Frequency-Mixed Single-Source Domain Generalization for Medical Image Segmentation
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    Chapter 14 A Semantic-Guided and Knowledge-Based Generative Framework for Orthodontic Visual Outcome Preview
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    Chapter 15 A Multi-task Method for Immunofixation Electrophoresis Image Classification
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    Chapter 16 Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound
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    Chapter 17 Thyroid Nodule Diagnosis in Dynamic Contrast-Enhanced Ultrasound via Microvessel Infiltration Awareness
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    Chapter 18 Polar Eyeball Shape Net for 3D Posterior Ocular Shape Representation
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    Chapter 19 DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
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    Chapter 20 A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images
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    Chapter 21 Wall Thickness Estimation from Short Axis Ultrasound Images via Temporal Compatible Deformation Learning
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    Chapter 22 Mitral Regurgitation Quantification from Multi-channel Ultrasound Images via Deep Learning
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    Chapter 23 Progressive Attention Guidance for Whole Slide Vulvovaginal Candidiasis Screening
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    Chapter 24 Detection-Free Pipeline for Cervical Cancer Screening of Whole Slide Images
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    Chapter 25 Improving Pathology Localization: Multi-series Joint Attention Takes the Lead
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    Chapter 26 Detection of Basal Cell Carcinoma in Whole Slide Images
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    Chapter 27 SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
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    Chapter 28 STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models
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    Chapter 29 Interpretable Deep Biomarker for Serial Monitoring of Carotid Atherosclerosis Based on Three-Dimensional Ultrasound Imaging
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    Chapter 30 Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk
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    Chapter 31 TCEIP: Text Condition Embedded Regression Network for Dental Implant Position Prediction
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    Chapter 32 Vision Transformer Based Multi-class Lesion Detection in IVOCT
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    Chapter 33 Accurate and Robust Patient Height and Weight Estimation in Clinical Imaging Using a Depth Camera
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    Chapter 34 AR 2 T: Advanced Realistic Rendering Technique for Biomedical Volumes
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    Chapter 35 Transformer-Based End-to-End Classification of Variable-Length Volumetric Data
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    Chapter 36 ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography
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    Chapter 37 MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans
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    Chapter 38 Diffusion-Based Hierarchical Multi-label Object Detection to Analyze Panoramic Dental X-Rays
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    Chapter 39 Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
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    Chapter 40 Coupling Bracket Segmentation and Tooth Surface Reconstruction on 3D Dental Models
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    Chapter 41 TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer
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    Chapter 42 Anatomical Landmark Detection Using a Multiresolution Learning Approach with a Hybrid Transformer-CNN Model
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    Chapter 43 Cross-View Deformable Transformer for Non-displaced Hip Fracture Classification from Frontal-Lateral X-Ray Pair
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    Chapter 44 Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis
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    Chapter 45 Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification
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    Chapter 46 MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis
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    Chapter 47 CellGAN: Conditional Cervical Cell Synthesis for Augmenting Cytopathological Image Classification
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    Chapter 48 Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning
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    Chapter 49 Gene-Induced Multimodal Pre-training for Image-Omic Classification
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    Chapter 50 Artifact Restoration in Histology Images with Diffusion Probabilistic Models
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    Chapter 51 Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-supervised Contrastive Learning
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    Chapter 52 Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision
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    Chapter 53 StainDiff: Transfer Stain Styles of Histology Images with Denoising Diffusion Probabilistic Models and Self-ensemble
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    Chapter 54 IIB-MIL: Integrated Instance-Level and Bag-Level Multiple Instances Learning with Label Disambiguation for Pathological Image Analysis
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    Chapter 55 Semi-supervised Pathological Image Segmentation via Cross Distillation of Multiple Attentions
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    Chapter 56 An Anti-biased TBSRTC-Category Aware Nuclei Segmentation Framework with a Multi-label Thyroid Cytology Benchmark
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    Chapter 57 DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation
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    Chapter 58 Multi-scale Prototypical Transformer for Whole Slide Image Classification
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    Chapter 59 Transfer Learning-Assisted Survival Analysis of Breast Cancer Relying on the Spatial Interaction Between Tumor-Infiltrating Lymphocytes and Tumors
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    Chapter 60 Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction
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    Chapter 61 Adaptive Supervised PatchNCE Loss for Learning H&E-to-IHC Stain Translation with Inconsistent Groundtruth Image Pairs
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    Chapter 62 Deep Learning for Tumor-Associated Stroma Identification in Prostate Histopathology Slides
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    Chapter 63 Robust Cervical Abnormal Cell Detection via Distillation from Local-Scale Consistency Refinement
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    Chapter 64 Instance-Aware Diffusion Model for Gland Segmentation in Colon Histology Images
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    Chapter 65 Label-Free Nuclei Segmentation Using Intra-Image Self Similarity
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    Chapter 66 Histopathology Image Classification Using Deep Manifold Contrastive Learning
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    Chapter 67 Zero-Shot Nuclei Detection via Visual-Language Pre-trained Models
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    Chapter 68 An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment
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    Chapter 69 Position-Aware Masked Autoencoder for Histopathology WSI Representation Learning
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    Chapter 70 A One-Class Variational Autoencoder (OCVAE) Cascade for Classifying Atypical Bone Marrow Cell Sub-types
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    Chapter 71 MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation
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    Chapter 72 Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction
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    Chapter 73 HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis
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    Chapter 74 ALL-IN: A L ocal G L obal Graph-Based D I stillatio N Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment
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    Chapter 75 Deep Cellular Embeddings: An Explainable Plug and Play Improvement for Feature Representation in Histopathology
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    Chapter 76 NASDM: Nuclei-Aware Semantic Histopathology Image Generation Using Diffusion Models
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    Chapter 77 Triangular Analysis of Geographical Interplay of Lymphocytes (TriAnGIL): Predicting Immunotherapy Response in Lung Cancer