Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Table of Contents

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   Book Overview
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   Chapter 1 OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
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   Chapter 2 SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation
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   Chapter 3 COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation
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   Chapter 4 Continual Learning for Abdominal Multi-organ and Tumor Segmentation
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   Chapter 5 Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI
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   Chapter 6 PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images
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   Chapter 7 Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
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   Chapter 8 EdgeAL: An Edge Estimation Based Active Learning Approach for OCT Segmentation
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    Chapter 9 Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
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    Chapter 10 CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-training
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    Chapter 11 VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation
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    Chapter 12 L3DMC: Lifelong Learning Using Distillation via Mixed-Curvature Space
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    Chapter 13 Weakly Supervised Medical Image Segmentation via Superpixel-Guided Scribble Walking and Class-Wise Contrastive Regularization
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    Chapter 14 SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
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    Chapter 15 SFusion: Self-attention Based N-to-One Multimodal Fusion Block
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    Chapter 16 FedGrav: An Adaptive Federated Aggregation Algorithm for Multi-institutional Medical Image Segmentation
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    Chapter 17 Category-Independent Visual Explanation for Medical Deep Network Understanding
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    Chapter 18 Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation
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    Chapter 19 Neuro Explainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
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    Chapter 20 Centroid-Aware Feature Recalibration for Cancer Grading in Pathology Images
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    Chapter 21 Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging
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    Chapter 22 Few Shot Medical Image Segmentation with Cross Attention Transformer
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    Chapter 23 ECL: Class-Enhancement Contrastive Learning for Long-Tailed Skin Lesion Classification
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    Chapter 24 Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation
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    Chapter 25 Efficient Subclass Segmentation in Medical Images
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    Chapter 26 Class Specific Feature Disentanglement and Text Embeddings for Multi-label Generalized Zero Shot CXR Classification
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    Chapter 27 Prediction of Cognitive Scores by Joint Use of Movie-Watching fMRI Connectivity and Eye Tracking via Attention-CensNet
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    Chapter 28 Partial Vessels Annotation-Based Coronary Artery Segmentation with Self-training and Prototype Learning
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    Chapter 29 FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification
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    Chapter 30 FedSoup: Improving Generalization and Personalization in Federated Learning via Selective Model Interpolation
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    Chapter 31 TransLiver: A Hybrid Transformer Model for Multi-phase Liver Lesion Classification
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    Chapter 32 ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models
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    Chapter 33 FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
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    Chapter 34 Localized Questions in Medical Visual Question Answering
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    Chapter 35 Reconstructing the Hemodynamic Response Function via a Bimodal Transformer
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    Chapter 36 Debiasing Medical Visual Question Answering via Counterfactual Training
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    Chapter 37 Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold
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    Chapter 38 Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing
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    Chapter 39 Rethinking Semi-Supervised Federated Learning: How to Co-train Fully-Labeled and Fully-Unlabeled Client Imaging Data
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    Chapter 40 Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
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    Chapter 41 Interpretable Medical Image Classification Using Prototype Learning and Privileged Information
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    Chapter 42 Physics-Based Decoding Improves Magnetic Resonance Fingerprinting
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    Chapter 43 Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
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    Chapter 44 Localized Region Contrast for Enhancing Self-supervised Learning in Medical Image Segmentation
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    Chapter 45 A Spatial-Temporal Deformable Attention Based Framework for Breast Lesion Detection in Videos
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    Chapter 46 A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis
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    Chapter 47 Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging
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    Chapter 48 Inflated 3D Convolution-Transformer for Weakly-Supervised Carotid Stenosis Grading with Ultrasound Videos
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    Chapter 49 One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation
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    Chapter 50 Multi-objective Point Cloud Autoencoders for Explainable Myocardial Infarction Prediction
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    Chapter 51 Aneurysm Pose Estimation with Deep Learning
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    Chapter 52 Joint Optimization of a  $$\beta $$ β -VAE for ECG Task-Specific Feature Extraction
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    Chapter 53 Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation
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    Chapter 54 Explainable Image Classification with Improved Trustworthiness for Tissue Characterisation
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    Chapter 55 A Video-Based End-to-end Pipeline for Non-nutritive Sucking Action Recognition and Segmentation in Young Infants
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    Chapter 56 Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models
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    Chapter 57 Faithful Synthesis of Low-Dose Contrast-Enhanced Brain MRI Scans Using Noise-Preserving Conditional GANs
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    Chapter 58 Prediction of Infant Cognitive Development with Cortical Surface-Based Multimodal Learning
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    Chapter 59 Distilling BlackBox to Interpretable Models for Efficient Transfer Learning
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    Chapter 60 Gadolinium-Free Cardiac MRI Myocardial Scar Detection by 4D Convolution Factorization
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    Chapter 61 Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification
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    Chapter 62 FedContrast-GPA: Heterogeneous Federated Optimization via Local Contrastive Learning and Global Process-Aware Aggregation
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    Chapter 63 Partially Supervised Multi-organ Segmentation via Affinity-Aware Consistency Learning and Cross Site Feature Alignment
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    Chapter 64 Attentive Deep Canonical Correlation Analysis for Diagnosing Alzheimer’s Disease Using Multimodal Imaging Genetics
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    Chapter 65 FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification
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    Chapter 66 Transferability-Guided Multi-source Model Adaptation for Medical Image Segmentation
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    Chapter 67 Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models
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    Chapter 68 An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairment
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    Chapter 69 An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography
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    Chapter 70 On the Relevance of Temporal Features for Medical Ultrasound Video Recognition
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    Chapter 71 Synthetic Augmentation with Large-Scale Unconditional Pre-training
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    Chapter 72 DeDA: Deep Directed Accumulator
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    Chapter 73 Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis