Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

Table of Contents

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   Book Overview
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   Chapter 1 CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation
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   Chapter 2 Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
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   Chapter 3 Towards Accurate Microstructure Estimation via 3D Hybrid Graph Transformer
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   Chapter 4 Cortical Analysis of Heterogeneous Clinical Brain MRI Scans for Large-Scale Neuroimaging Studies
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   Chapter 5 Flow-Based Geometric Interpolation of Fiber Orientation Distribution Functions
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   Chapter 6 Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
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   Chapter 7 FE-STGNN: Spatio-Temporal Graph Neural Network with Functional and Effective Connectivity Fusion for MCI Diagnosis
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   Chapter 8 Learning Normal Asymmetry Representations for Homologous Brain Structures
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    Chapter 9 Simulation of Arbitrary Level Contrast Dose in MRI Using an Iterative Global Transformer Model
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    Chapter 10 Development and Fast Transferring of General Connectivity-Based Diagnosis Model to New Brain Disorders with Adaptive Graph Meta-Learner
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    Chapter 11 Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI
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    Chapter 12 Dynamic Structural Brain Network Construction by Hierarchical Prototype Embedding GCN Using T1-MRI
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    Chapter 13 Microstructure Fingerprinting for Heterogeneously Oriented Tissue Microenvironments
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    Chapter 14 AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation
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    Chapter 15 Relaxation-Diffusion Spectrum Imaging for Probing Tissue Microarchitecture
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    Chapter 16 Joint Representation of Functional and Structural Profiles for Identifying Common and Consistent 3-Hinge Gyral Folding Landmark
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    Chapter 17 Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
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    Chapter 18 DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data
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    Chapter 19 Multimodal Brain Age Estimation Using Interpretable Adaptive Population-Graph Learning
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    Chapter 20 BrainUSL: U nsupervised Graph S tructure L earning for Functional Brain Network Analysis
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    Chapter 21 Learning Asynchronous Common and Individual Functional Brain Network for AD Diagnosis
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    Chapter 22 Self-pruning Graph Neural Network for Predicting Inflammatory Disease Activity in Multiple Sclerosis from Brain MR Images
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    Chapter 23 atTRACTive: Semi-automatic White Matter Tract Segmentation Using Active Learning
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    Chapter 24 Domain-Agnostic Segmentation of Thalamic Nuclei from Joint Structural and Diffusion MRI
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    Chapter 25 Neural Pre-processing: A Learning Framework for End-to-End Brain MRI Pre-processing
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    Chapter 26 Dynamic Functional Connectome Harmonics
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    Chapter 27 Wasserstein Distance-Preserving Vector Space of Persistent Homology
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    Chapter 28 Community-Aware Transformer for Autism Prediction in fMRI Connectome
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    Chapter 29 Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Mapping
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    Chapter 30 Exploring Brain Function-Structure Connectome Skeleton via Self-supervised Graph-Transformer Approach
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    Chapter 31 Vertex Correspondence in Cortical Surface Reconstruction
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    Chapter 32 Path-Based Heterogeneous Brain Transformer Network for Resting-State Functional Connectivity Analysis
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    Chapter 33 Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases
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    Chapter 34 Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN
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    Chapter 35 DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network Dynamics
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    Chapter 36 Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization
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    Chapter 37 SurfFlow: A Flow-Based Approach for Rapid and Accurate Cortical Surface Reconstruction from Infant Brain MRI
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    Chapter 38 Prior-Driven Dynamic Brain Networks for Multi-modal Emotion Recognition
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    Chapter 39 Unified Surface and Volumetric Inference on Functional Imaging Data
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    Chapter 40 TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation
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    Chapter 41 Robust and Generalisable Segmentation of Subtle Epilepsy-Causing Lesions: A Graph Convolutional Approach
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    Chapter 42 Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning
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    Chapter 43 Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI
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    Chapter 44 Physics-Informed Conditional Autoencoder Approach for Robust Metabolic CEST MRI at 7T
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    Chapter 45 A Coupled-Mechanisms Modelling Framework for Neurodegeneration
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    Chapter 46 A Texture Neural Network to Predict the Abnormal Brachial Plexus from Routine Magnetic Resonance Imaging
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    Chapter 47 Mitosis Detection from Partial Annotation by Dataset Generation via Frame-Order Flipping
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    Chapter 48 CircleFormer: Circular Nuclei Detection in Whole Slide Images with Circle Queries and Attention
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    Chapter 49 A Motion Transformer for Single Particle Tracking in Fluorescence Microscopy Images
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    Chapter 50 B-Cos Aligned Transformers Learn Human-Interpretable Features
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    Chapter 51 PMC-CLIP: Contrastive Language-Image Pre-training Using Biomedical Documents
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    Chapter 52 Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction
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    Chapter 53 Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis
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    Chapter 54 Exploring Unsupervised Cell Recognition with Prior Self-activation Maps
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    Chapter 55 Prompt-Based Grouping Transformer for Nucleus Detection and Classification
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    Chapter 56 PAS-Net: Rapid Prediction of Antibiotic Susceptibility from Fluorescence Images of Bacterial Cells Using Parallel Dual-Branch Network
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    Chapter 57 Diffusion-Based Data Augmentation for Nuclei Image Segmentation
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    Chapter 58 Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
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    Chapter 59 3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
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    Chapter 60 Prompt-MIL: Boosting Multi-instance Learning Schemes via Task-Specific Prompt Tuning
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    Chapter 61 Pick and Trace: Instance Segmentation for Filamentous Objects with a Recurrent Neural Network
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    Chapter 62 BigFUSE: Global Context-Aware Image Fusion in Dual-View Light-Sheet Fluorescence Microscopy with Image Formation Prior
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    Chapter 63 LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network
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    Chapter 64 Deep Unsupervised Clustering for Conditional Identification of Subgroups Within a Digital Pathology Image Set
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    Chapter 65 Weakly-Supervised Drug Efficiency Estimation with Confidence Score: Application to COVID-19 Drug Discovery