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Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 [2020]

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A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer’s Disease
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Attention, Suggestion and Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation
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Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
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Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression
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Improving Amide Proton Transfer-Weighted MRI Reconstruction Using T2-Weighted Images
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Lightweight Double Attention-Fused Networks for Intraoperative Stent Segmentation
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Reconstructing Sinus Anatomy from Endoscopic Video – Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment
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A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy
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Compressive MR Fingerprinting Reconstruction with Neural Proximal Gradient Iterations
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Demixing Calcium Imaging Data in <italic>C. elegans</italic> via Deformable Non-negative Matrix Factorization
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DeScarGAN: Disease-Specific Anomaly Detection with Weak Supervision
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Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee
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Scribble2Label: Scribble-Supervised Cell Segmentation via Self-generating Pseudo-Labels with Consistency
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TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling
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Domain-Invariant Prior Knowledge Guided Attention Networks for Robust Skull Stripping of Developing Macaque Brains
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Active MR <italic>k</italic>-space Sampling with Reinforcement Learning
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Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides
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Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance?
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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
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Automated Measurements of Key Morphological Features of Human Embryos for IVF
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KISEG: A Three-Stage Segmentation Framework for Multi-level Acceleration of Chest CT Scans from COVID-19 Patients
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Deep Reinforcement Active Learning for Medical Image Classification
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Parkinson’s Disease Detection from fMRI-Derived Brainstem Regional Functional Connectivity Networks
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A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants
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Fast Correction of Eddy-Current and Susceptibility-Induced Distortions Using Rotation-Invariant Contrasts
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Branch-Aware Double DQN for Centerline Extraction in Coronary CT Angiography
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CircleNet: Anchor-Free Glomerulus Detection with Circle Representation
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A Novel Approach to Tongue Standardization and Feature Extraction
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An Effective Data Refinement Approach for Upper Gastrointestinal Anatomy Recognition
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Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry
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Joint Reconstruction and Bias Field Correction for Undersampled MR Imaging
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Persistent Feature Analysis of Multimodal Brain Networks Using Generalized Fused Lasso for EMCI Identification
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Automatic CAD-RADS Scoring Using Deep Learning
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Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies
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Patch-Based Non-local Bayesian Networks for Blind Confocal Microscopy Denoising
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Joint Total Variation ESTATICS for Robust Multi-parameter Mapping
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Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network
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Synthetic Sample Selection via Reinforcement Learning
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Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking
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Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis
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Attention-Guided Quality Assessment for Automated Cryo-EM Grid Screening
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Diagnostic Assessment of Deep Learning Algorithms for Detection and Segmentation of Lesion in Mammographic Images
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From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity
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Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT
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End-to-End Variational Networks for Accelerated MRI Reconstruction
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An Interactive Mixed Reality Platform for Bedside Surgical Procedures
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Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
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Efficient and Phase-Aware Video Super-Resolution for Cardiac MRI
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MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images
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Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting
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3d-SMRnet: Achieving a New Quality of MPI System Matrix Recovery by Deep Learning
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BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture
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Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical Refinement
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Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders
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ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease
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Learning Guided Electron Microscopy with Active Acquisition
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COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children
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MRI Image Reconstruction via Learning Optimization Using Neural ODEs
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Constrain Latent Space for Schizophrenia Classification via Dual Space Mapping Net
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Robust Multi-modal 3D Patient Body Modeling
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Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI Scoring
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Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation
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Neuronal Subcompartment Classification and Merge Error Correction
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An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms
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Species-Shared and -Specific Structural Connections Revealed by Dirty Multi-task Regression
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Have You Forgotten? A Method to Assess if Machine Learning Models Have Forgotten Data
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A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution
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ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm Treatment
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DeU-Net: Deformable U-Net for 3D Cardiac MRI Video Segmentation
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Microtubule Tracking in Electron Microscopy Volumes
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Lesion Mask-Based Simultaneous Synthesis of Anatomic and Molecular MR Images Using a GAN
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Self-weighted Multi-task Learning for Subjective Cognitive Decline Diagnosis
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Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network
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JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation
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Learning and Exploiting Interclass Visual Correlations for Medical Image Classification
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Learning Directional Feature Maps for Cardiac MRI Segmentation
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Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity
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T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions
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Unified Brain Network with Functional and Structural Data
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Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning
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Feature Preserving Smoothing Provides Simple and Effective Data Augmentation for Medical Image Segmentation
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Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
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Joint Left Atrial Segmentation and Scar Quantification Based on a DNN with Spatial Encoding and Shape Attention
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Statistical Atlas of <italic>C. elegans</italic> Neurons
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Integrating Similarity Awareness and Adaptive Calibration in Graph Convolution Network to Predict Disease
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Learned Proximal Networks for Quantitative Susceptibility Mapping
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Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation
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Deep kNN for Medical Image Classification
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Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification
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XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms
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Probabilistic Joint Segmentation and Labeling of <italic>C. elegans</italic> Neurons
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Infant Cognitive Scores Prediction with Multi-stream Attention-Based Temporal Path Signature Features
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Reinforcement Learning of Musculoskeletal Control from Functional Simulations
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Learning a Gradient Guidance for Spatially Isotropic MRI Super-Resolution Reconstruction
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Learning Semantics-Enriched Representation via Self-discovery, Self-classification, and Self-restoration
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TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound
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Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
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Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping
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Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes
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Multi-organ Segmentation via Co-training Weight-Averaged Models from Few-Organ Datasets
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