Contrastive Representations for Continual Learning of Fine-grained Histology Images
Learning Transferable 3D-CNN for MRI-based Brain Disorder Classification from Scratch: An Empirical Study
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks
Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision
Variational Encoding and Decoding for Hybrid Supervision of Registration Network
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning
Learning to Synthesize 7T MRI from 3T MRI with Few Data by Deformable Augmentation
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation
End-to-end lung nodule detection framework with model-based feature projection block
Learning Structure from Visual SemanticFeatures and Radiology Ontology for LymphNode Classification on MRI
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Cell Counting by a Location-Aware Network
Exploring Gyro-Sulcal Functional Connectivity Differences across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images
Transfer learning with a layer dependent regularization for medical image segmentation
Multi-Scale Self-Supervised Learning for Multi-Site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts
Deep active learning for dual-view mammogram analysis
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes
A Recurrent Two-stage Anatomy-guided Network for Registration of Liver DCE-MRI
Learning Infancy Brain Developmental Connectivity for the Cognitive Score Prediction
Hierarchical 3D Feature Learning for Pancreas Segmentation
Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images using Structure-Constrained Super-Resolution Network
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation
Pre-biopsy multi-class classification of breast lesion pathology in mammograms
Co-Segmentation of Multi-Modality Spinal Images Using Channel and Spatial Attention
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data
STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
MIST GAN: Modality Imputation using Style Transfer for MRI
Biased Extrapolation in Latent Space for Imbalanced Deep Learning
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity
Automated deep learning-based detection of osteoporotic fractures in CT images
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
Self-supervised Mean Teacher for Semi-supervisedChest X-ray Classification
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning
Using Spatio-Temporal Correlation based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI
Window-Level is a Strong Denoising Surrogate
Cardiovascular disease risk improves COVID-19 patient outcome prediction
Self-Supervision Based Dual-Transformation Learning for Stain Normalization, Classification and Segmentation
Deep Representation Learning for Image-Based Cell Profiling
Detecting Extremely Small Lesions with Point Annotations via Multi-task Learning
Morphology-guided Prostate MRI Segmentation with Multi-slice Association
Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization
Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference
Spine-rib Segmentation and Labeling via Hierarchical Matching and Rib-guided Registration
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images
Knowledge-guided Multiview Deep Curriculum Learning for Elbow Fracture Classification
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging
SkullEngine: A Multi-Stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection
Skull Segmentation from CBCT Images via Voxel-based Rendering
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models
3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data
Clinically Correct Report Generation from Chest X-rays using Templates
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI for Brain Disease Classification
Detection of Lymph Nodes in T2 MRI using Neural Network Ensembles
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection.