Image Reconstruction
Two-Stage Self-Supervised Cycle-Consistency Network for Reconstruction of Thin-Slice MR Images
Over-and-Under Complete Convolutional RNN for MRI Reconstruction
TarGAN: Target-Aware Generative Adversarial Networks for Multi-modality Medical Image Translation
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network
Generalised Super Resolution for Quantitative MRI Using Self-Supervised Mixture of Experts
TransCT: Dual-path Transformer for Low Dose Computed Tomography
IREM: High-Resolution Magnetic Resonance Image Reconstruction via Implicit Neural Representation
DA-VSR: Domain Adaptable Volumetric Super-Resolution For Medical Images
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
Depth Estimation for Colonoscopy Images with Self-supervised Learning from Videos
Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration Network
Generator Versus Segmentor: Pseudo-healthy Synthesis
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Estimation of High Frame Rate Digital Subtraction Angiography Sequences at Low Radiation Dose
RLP-Net: Recursive Light Propagation Network for 3-D Virtual Refocusing
Noise Mapping and Removal in Complex-Valued Multi-Channel MRI via Optimal Shrinkage of Singular Values
Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction
Universal Undersampled MRI Reconstruction
A Neural Framework for Multi-Variable Lesion Quantification Through B-mode Style Transfer
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction
Dual-Domain Adaptive-Scaling Non-Local Network for CT Metal Artifact Reduction
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
Adaptive Squeeze-and-Shrink Image Denoising for Improving Deep Detection of Cerebral Microbleeds
3D Transformer-GAN for High-quality PET Reconstruction
Learnable Multi-scale Fourier Interpolation for Sparse View CT Image Reconstruction
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
Conditional GAN with an Attention-based Generator and a 3D Discriminator for 3D Medical Image Generation
Multimodal MRI Acceleration via Deep Cascading Networks with Peer-layer-wise Dense Connections
Rician noise estimation for 3D Magnetic Resonance Images based on Benford's Law
Deep J-Sense: Accelerated MRI Reconstruction via Unrolled Alternating Optimization
Label-Free Physics-Informed Image Sequence Reconstruction with Disentangled Spatial-Temporal Modeling
High-Resolution Hierarchical Adversarial Learning for OCT Speckle Noise Reduction
Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework
Acceleration by deep-learnt sharing of superfluous information in multi-contrast MRI
Sequential Lung Nodule Synthesis using Attribute-guided Generative Adversarial Networks
A Data-driven Approach for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging
Interpretable deep learning for multimodal super-resolution of medical images
MRI Super-Resolution Through Generative Degradation Learning
Task-Oriented Low-Dose CT Image Denoising
Revisiting contour-driven and knowledge-based deformable models: application to 2D-3D proximal femur reconstruction from X-ray images
Memory-efficient Learning for High-dimensional MRI Reconstruction
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation
Clinical Applications
Cardiac
Distortion Energy for Deep Learning-based Volumetric Finite Element Mesh Generation for Aortic Valves
Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation
EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views
Phase-independent Latent Representation for Cardiac Shape Analysis
Cardiac Transmembrane Potential Imaging with GCN Based Iterative Soft Threshold Network
AtrialGeneral: Domain Generalization for Left Atrial Segmentation of Multi-Center LGE MRIs
TVnet: Automated Time-Resolved Tracking of the Tricuspid Valve Plane in MRI Long-Axis Cine Images with a Dual-Stage Deep Learning Pipeline
Clinical Applications
Vascular
Deep Open Snake Tracker for Vessel Tracing
MASC-Units: Training Oriented Filters for Segmenting Curvilinear Structures
Vessel Width Estimation via Convolutional Regression
Renal Cell Carcinoma Classification from Vascular Morphology.