Computer Aided Diagnosis
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search
Hepatocellular Carcinoma Segmentation from Digital Subtraction Angiography Videos using Learnable Temporal Difference
CA-Net: Leveraging Contextual Features for Lung Cancer Prediction
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images
DAE-GCN: Identifying Disease-Related Features for Disease Prediction
Enhanced Breast Lesion Classification via Knowledge Guided Cross-Modal and Semantic Data Augmentation
Multiple Meta-model Quantifying for Medical Visual Question Answering
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network
You Only Learn Once: Universal Anatomical Landmark Detection
A Coherent Cooperative Learning Framework Based on Transfer Learning for Unsupervised Cross-domain Classification
Towards a non-invasive diagnosis of portal hypertension based on an Eulerian CFD model with diffuse boundary conditions
A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels
Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images
Conditional Training with Bounding Map for Universal Lesion Detection
Focusing on Clinically Interpretable Features: Selective Attention Regularization for Liver Biopsy Image Classification
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification
Tensor-based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-state fMRI
Region Ensemble Network for MCI Conversion Prediction With a Relation Regularized Loss
Airway Anomaly Detection by Graph Neural Network
Energy-Based Supervised Hashing for Multimorbidity Image Retrieval
Stochastic 4D Flow Vector-Field Signatures: A new approach for comprehensive 4D Flow MRI quantification
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
ASC-Net: Adversarial-based Selective Network for Unsupervised Anomaly Segmentation
Cost-Sensitive Meta-Learning for Progress Prediction of Subjective Cognitive Decline with Brain Structural MRI
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings
VertNet: Accurate Vertebra Localization and Identification Network from CT Images
VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs
Multi-frame Collaboration for Effective Endoscopic Video Polyp Detection via Spatial-Temporal Feature Transformation
MBFF-Net: Multi-Branch Feature Fusion Network for Carotid Plaque Segmentation in Ultrasound
Balanced-MixUp for highly imbalanced medical image classification
Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
Retina-Match: Ipsilateral Mammography Lesion Matching in a Single Shot Detection Pipeline
Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
Joint Spinal Centerline Extraction and Curvature Estimation with Row-wise Classification and Curve Graph Network
LDPolypVideo Benchmark: A Large-scale Colonoscopy Video Dataset of Diverse Polyps
Continual Learning with Bayesian Model based on a Fixed Pre-trained Feature Extractor
Alleviating Data Imbalance Issue with Perturbed Input during Inference
A Deep Reinforced Tree-traversal Agent for Coronary Artery Centerline Extraction
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction
Predicting Symptoms from Multiphasic MRI via Multi-Instance Attention Learning for Hepatocellular Carcinoma Grading
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
DeepMitral: Fully Automatic 3D Echocardiography Segmentation for Patient Specific Mitral Valve Modelling
Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages
Seg4Reg+: A Local and Global ConsistencyLearning between Spine Segmentation and CobbAngle Regression
Meta-Modulation Network for Domain Generalization in Multi-site fMRI Classification
3D Brain Midline Delineation for Hematoma Patients
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
nnDetection: A Self-configuring Method for Medical Object Detection
Automating Embryo Development Stage Detection in Time-Lapse Imaging with Synergic Loss and Temporal Learning
Deep Neural Dynamic Bayesian Networks applied to EEG sleep spindles modeling
Few Trust Data Guided Annotation Refinement for Upper Gastrointestinal Anatomy Recognition
Asymmetric 3D Context Fusion for Universal Lesion Detection
Detecting Outliers with Poisson Image Interpolation
MG-NET: Leveraging Pseudo-Imaging for Multi-Modal Metagenome Analysis
Multimodal Multitask Deep Learning for X-Ray Image Retrieval
Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait
Primary Tumor and Inter-Organ Augmentations for Supervised Lymph Node Colon Adenocarcinoma Metastasis Detection
Radiomics-informed Deep Curriculum Learning for Breast Cancer Diagnosis
Integration of Imaging with Non-Imaging Biomarkers
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective
Co-Graph Attention Reasoning based Imaging and Clinical Features Integration for Lymph Node Metastasis Prediction
Deep Orthogonal Fusion: Multimodal Prognostic Biomarker Discovery Integrating Radiology, Pathology, Genomic, and Clinical Data
A Novel Bayesian Semi-parametric Model for Learning Heritable Imaging Traits
Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform
Image-derived phenotype extraction for genetic discovery via unsupervised deep learning in CMR images
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference
Outcome/Disease Prediction
Predicting Esophageal Fistula Risks Using a Multimodal Self-Attention Network
Hybrid Aggregation Network for Survival Analysis from Whole Slide Histopathological Images
Intracerebral Haemorrhage Growth Prediction Based on Displacement Vector Field and Clinical Metadata
AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases
Survival Prediction Based on Histopathology Imaging and Clinical Data: A Novel, Whole Slide CNN Approach
Beyond Non-Maximum Suppression
Detecting Lesions in Digital Breast Tomosynthesis Volumes
A Structural Causal Model MR Images of Multiple Sclerosis
EMA: Auditing Data Removal from Trained Models
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Projection-wise Disentangling for Fair and Interpretable Representation Learning: Application to 3D Facial Shape Analysis
Attention-based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction.