Medical Image Computing and Computer Assisted Intervention – MICCAI 2022

Table of Contents

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   Book Overview
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   Chapter 1 Automatic Segmentation of Hip Osteophytes in DXA Scans Using U-Nets
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   Chapter 2 CIRDataset: A Large-Scale Dataset for Clinically-Interpretable Lung Nodule Radiomics and Malignancy Prediction
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   Chapter 3 UNeXt: MLP-Based Rapid Medical Image Segmentation Network
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   Chapter 4 Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation
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   Chapter 5 Uncertainty-Guided Lung Nodule Segmentation with Feature-Aware Attention
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   Chapter 6 Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding
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   Chapter 7 ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training
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   Chapter 8 A Sense of Direction in Biomedical Neural Networks
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    Chapter 9 Stroke Lesion Segmentation from Low-Quality and Few-Shot MRIs via Similarity-Weighted Self-ensembling Framework
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    Chapter 10 Edge-Oriented Point-Cloud Transformer for 3D Intracranial Aneurysm Segmentation
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    Chapter 11 mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation
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    Chapter 12 Multimodal Brain Tumor Segmentation Using Contrastive Learning Based Feature Comparison with Monomodal Normal Brain Images
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    Chapter 13 Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
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    Chapter 14 NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation
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    Chapter 15 MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation
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    Chapter 16 A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
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    Chapter 17 Usable Region Estimate for Assessing Practical Usability of Medical Image Segmentation Models
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    Chapter 18 Modality-Adaptive Feature Interaction for Brain Tumor Segmentation with Missing Modalities
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    Chapter 19 Position-Prior Clustering-Based Self-attention Module for Knee Cartilage Segmentation
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    Chapter 20 Attentive Symmetric Autoencoder for Brain MRI Segmentation
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    Chapter 21 Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
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    Chapter 22 Curvature-Enhanced Implicit Function Network for High-quality Tooth Model Generation from CBCT Images
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    Chapter 23 PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation
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    Chapter 24 Learning Tumor-Induced Deformations to Improve Tumor-Bearing Brain MR Segmentation
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    Chapter 25 Contrastive Re-localization and History Distillation in Federated CMR Segmentation
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    Chapter 26 Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning
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    Chapter 27 DeepPyramid: Enabling Pyramid View and Deformable Pyramid Reception for Semantic Segmentation in Cataract Surgery Videos
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    Chapter 28 A Geometry-Constrained Deformable Attention Network for Aortic Segmentation
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    Chapter 29 ConTrans: Improving Transformer with Convolutional Attention for Medical Image Segmentation
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    Chapter 30 End-to-End Segmentation of Medical Images via Patch-Wise Polygons Prediction
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    Chapter 31 Automatic Identification of Segmentation Errors for Radiotherapy Using Geometric Learning
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    Chapter 32 A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation
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    Chapter 33 OnlyCaps-Net, a Capsule only Based Neural Network for 2D and 3D Semantic Segmentation
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    Chapter 34 Identifying and Combating Bias in Segmentation Networks by Leveraging Multiple Resolutions
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    Chapter 35 Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation
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    Chapter 36 Transformer Based Feature Fusion for Left Ventricle Segmentation in 4D Flow MRI
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    Chapter 37 Learning Towards Synchronous Network Memorizability and Generalizability for Continual Segmentation Across Multiple Sites
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    Chapter 38 Progressive Deep Segmentation of Coronary Artery via Hierarchical Topology Learning
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    Chapter 39 Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation
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    Chapter 40 Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation
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    Chapter 41 Weakly Supervised Volumetric Image Segmentation with Deformed Templates
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    Chapter 42 Implicit Neural Representations for Medical Imaging Segmentation
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    Chapter 43 ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities
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    Chapter 44 DOMINO: Domain-Aware Model Calibration in Medical Image Segmentation
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    Chapter 45 iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR Images
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    Chapter 46 Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentation
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    Chapter 47 TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
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    Chapter 48 CorticalFlow $$^{++}$$ + + : Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability
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    Chapter 49 Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
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    Chapter 50 SMESwin Unet: Merging CNN and Transformer for Medical Image Segmentation
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    Chapter 51 The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$
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    Chapter 52 Robust Segmentation of Brain MRI in the Wild with Hierarchical CNNs and No Retraining
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    Chapter 53 Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations
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    Chapter 54 Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation
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    Chapter 55 Atlas-Based Semantic Segmentation of Prostate Zones
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    Chapter 56 Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation
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    Chapter 57 Enforcing Connectivity of 3D Linear Structures Using Their 2D Projections
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    Chapter 58 RT-DNAS: Real-Time Constrained Differentiable Neural Architecture Search for 3D Cardiac Cine MRI Segmentation
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    Chapter 59 Lesion Guided Explainable Few Weak-Shot Medical Report Generation
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    Chapter 60 Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data
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    Chapter 61 Discrepancy and Gradient-Guided Multi-modal Knowledge Distillation for Pathological Glioma Grading
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    Chapter 62 Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays
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    Chapter 63 Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
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    Chapter 64 Identification of Vascular Cognitive Impairment in Adult Moyamoya Disease via Integrated Graph Convolutional Network
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    Chapter 65 Multi-modal Masked Autoencoders for Medical Vision-and-Language Pre-training
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    Chapter 66 Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training
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    Chapter 67 Explaining Chest X-Ray Pathologies in Natural Language
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    Chapter 68 RepsNet: Combining Vision with Language for Automated Medical Reports
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    Chapter 69 BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis