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Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder with Resting-State fMRI
Error Attention Interactive Segmentation of Medical Images through Matting and Fusion
A Novel fMRI Representation Learning Framework with GAN
Semi-supervised Segmentation with Self-Training Based on Quality Estimation and Refinement
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Self-Recursive Contextual Network for Unsupervised 3D Medical Image Registration
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network
Robust Multiple Sclerosis Lesion Inpainting with Edge Prior
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Anatomy-Aware Cardiac Motion Estimation
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation
Boundary-aware Network for Kidney Tumor Segmentation
O-Net: An Overall Convolutional Network for Segmentation Tasks
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints
EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer
Exploring Functional Difference between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks
Detection of Ischemic Infarct Core in Non-Contrast Computed Tomography
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients
Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification
Multi-tasking Siamese Networks for Breast Mass Detection using Dual-view Mammogram Matching
3D Volume Reconstruction from Single Lateral X-ray Image via Cross-Modal Discrete Embedding Transition
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Learning Conditional Deformable Shape Templates for Brain Anatomy
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
Unsupervised Learning for Spherical Surface Registration
Anatomy-guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization
Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening
Importance Driven Continual Learning for Segmentation Across Domains
RDCNet: Instance segmentation with a minimalist recurrent residual network
Automatic Segmentation of Achilles Tendon Tissues using Deep Convolutional Neural Network
An End to End System for Measuring Axon Growth
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling
Unsupervised Learning-based Nonrigid Registration of High Resolution Histology Images
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation
Mammographic Image Conversion between Source and Target Acquisition Systems using CGAN
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Neural Architecture Search for Microscopy Cell Segmentation
Classification of Ulcerative Colitis Severity in Colonoscopy Videos Using Vascular Pattern Detection
Predicting Catheter Ablation Outcomes from Heart Rhythm Time-series: Less Is More
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets
Cross-Task Representation Learning for Anatomical Landmark Detection
Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks
Learning Hierarchical Semantic Correspondence and Gland Instance Segmentation
Open-Set Recognition for Skin Lesions using Dermoscopic Images
End-to-End Coordinate Regression Model with Attention-Guided Mechanism for Landmark Localization in 3D Medical Images
Enhanced MRI Reconstruction Network using Neural Architecture Search
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Noise-aware Standard-dose PET Reconstruction Using General and Adaptive Robust Loss
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation
Informative Feature-guided Siamese Network for Early Diagnosis of ASD.
Error Attention Interactive Segmentation of Medical Images through Matting and Fusion
A Novel fMRI Representation Learning Framework with GAN
Semi-supervised Segmentation with Self-Training Based on Quality Estimation and Refinement
3D Segmentation Networks for Excessive Numbers of Classes: Distinct Bone Segmentation in Upper Bodies
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Self-Recursive Contextual Network for Unsupervised 3D Medical Image Registration
Automated Tumor Proportion Scoring for Assessment of PD-L1 Expression Based on Multi-Stage Ensemble Strategy
Uncertainty Quantification in Medical Image Segmentation with Normalizing Flows
Out-of-Distribution Detection for Skin Lesion Images with Deep Isolation Forest
A 3D+2D CNN Approach Incorporating Boundary Loss for Stroke Lesion Segmentation
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network
Robust Multiple Sclerosis Lesion Inpainting with Edge Prior
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Anatomy-Aware Cardiac Motion Estimation
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation
LDGAN: Longitudinal-Diagnostic Generative Adversarial Network for Disease Progression Prediction with Missing Structural MRI
Unsupervised MRI Homogenization: Application to Pediatric Anterior Visual Pathway Segmentation
Boundary-aware Network for Kidney Tumor Segmentation
O-Net: An Overall Convolutional Network for Segmentation Tasks
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints
EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer
Exploring Functional Difference between Gyri and Sulci via Region-Specific 1D Convolutional Neural Networks
Detection of Ischemic Infarct Core in Non-Contrast Computed Tomography
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients
Structural Connectivity Enriched Functional Brain Network using Simplex Regression with GraphNet
Constructing High-Order Dynamic Functional Connectivity Networks from Resting-State fMRI for Brain Dementia Identification
Multi-tasking Siamese Networks for Breast Mass Detection using Dual-view Mammogram Matching
3D Volume Reconstruction from Single Lateral X-ray Image via Cross-Modal Discrete Embedding Transition
Cleft Volume Estimation and Maxilla Completion Using Cascaded Deep Neural Networks
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies
Learning Conditional Deformable Shape Templates for Brain Anatomy
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity
Unsupervised Learning for Spherical Surface Registration
Anatomy-guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI
Gyral Growth Patterns of Macaque Brains Revealed by Scattered Orthogonal Nonnegative Matrix Factorization
Inhomogeneity Correction in Magnetic Resonance Images Using Deep Image Priors
Hierarchical and Robust Pathology Image Reading for High-Throughput Cervical Abnormality Screening
Importance Driven Continual Learning for Segmentation Across Domains
RDCNet: Instance segmentation with a minimalist recurrent residual network
Automatic Segmentation of Achilles Tendon Tissues using Deep Convolutional Neural Network
An End to End System for Measuring Axon Growth
Interwound Structural and Functional Difference Between Preterm and Term Infant Brains Revealed by Multi-view CCA
Graph Convolutional Network Based Point Cloud for Head and Neck Vessel Labeling
Unsupervised Learning-based Nonrigid Registration of High Resolution Histology Images
Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
Gambling Adversarial Nets for Hard Sample Mining and Structured Prediction: Application in Ultrasound Thyroid Nodule Segmentation
Mammographic Image Conversion between Source and Target Acquisition Systems using CGAN
An End-to-End learnable Flow Regularized Model for Brain Tumor Segmentation
Neural Architecture Search for Microscopy Cell Segmentation
Classification of Ulcerative Colitis Severity in Colonoscopy Videos Using Vascular Pattern Detection
Predicting Catheter Ablation Outcomes from Heart Rhythm Time-series: Less Is More
AdaBoosted Deep Ensembles: Getting Maximum Performance Out of Small Training Datasets
Cross-Task Representation Learning for Anatomical Landmark Detection
Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks
Learning Hierarchical Semantic Correspondence and Gland Instance Segmentation
Open-Set Recognition for Skin Lesions using Dermoscopic Images
End-to-End Coordinate Regression Model with Attention-Guided Mechanism for Landmark Localization in 3D Medical Images
Enhanced MRI Reconstruction Network using Neural Architecture Search
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Noise-aware Standard-dose PET Reconstruction Using General and Adaptive Robust Loss
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation
Informative Feature-guided Siamese Network for Early Diagnosis of ASD.