Angiography and Vessel Analysis
Lightweight Double Attention-fused Networks for Intraoperative Stent Segmentation
TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Branch-aware Double DQN for Centerline Extraction in Coronary CT Angiography
Automatic CAD-RADS Scoring from CCTA Scans using Deep Learning
Higher-Order Flux with Spherical Harmonics Transform for Vascular Analysis
Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement
Time matters: Handling spatio-temporal perfusion information for automated TICI scoring
ID-Fit: Intra-saccular Device adjustment for personalized cerebral aneurysm treatment
JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular Segmentation
Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus Images
Vascular surface segmentation for intracranial aneurysm isolation and quantification
Breast Imaging
Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities
2D X-ray mammography and 3D breast MRI registration
A Second-order Subregion Pooling Network for Breast Ultrasound Lesion Segmentation
Multi-Scale Gradational-Order Fusion Framework for Breast lesions Classification Using Ultrasound images
Computer-aided Tumor Diagnosis in Automated Breast Ultrasound using 3D Detection Network
Auto-weighting for Breast Cancer Classification in Multimodal Ultrasound
MommiNet: Mammographic Multi-View Mass Identification Networks
Multi-Site Evaluation of a Study-Level Classifier for Mammography using Deep Learning
The case of missed cancers: Applying AI as a radiologist's safety net
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models
Multi-task learning for detection and classification of cancer in screening mammography
Colonoscopy
Adaptive Context Selection for Polyp Segmentation
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy
PolypSeg: an Efficient Context-aware Network for Polyp Segmentation from Colonoscopy Videos
Endoscopic polyp segmentation using a hybrid 2D/3D CNN
Dermatology
A distance-based loss for smooth and continuous skin layer segmentation in optoacoustic images
Fairness of Classifiers Across Skin Tones in Dermatology
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification
Clinical-Inspired Network for Skin Lesion Recognition
Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images
Fetal Imaging
Deep learning automatic fetal structures segmentation in MRI scans with few annotated datasets
Data-Driven Multi-Contrast Spectral Microstructure Imaging with InSpect
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency
Enhanced detection of fetal pose in 3D MRI by Deep Reinforcement Learning with physical structure priors on anatomy
Automatic angle of progress measurement of intrapartum transperineal ultrasound image with deep learning
Joint Image Quality Assessment and Brain Extraction of Fetal MRI using Deep Learning
Heart and Lung Imaging
Accelerated 4D Respiratory Motion-resolved Cardiac MRI with a Model-based Variational Network
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation
ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation
A Bottom-up Approach for Real-time Mitral Valve Annulus Modeling on 3D Echo Images
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography
Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study
Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules
Multi-stream Progressive Up-sampling Network for Dense CT Image Reconstruction
Abnormality Detection in Chest X-ray Images Using Uncertainty Prediction Autoencoders
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification
CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans
Interpretable Identification of Interstitial Lung Diseases (ILD) Associated Findings from CT
Learning with Sure Data for Nodule-Level Lung Cancer Prediction
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
Class-Aware Multi-Window Adversarial Lung Nodule Synthesis Conditioned on Semantic Features
Nodule2vec: a 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic Representation
Deep Active Learning for Effective Pulmonary Nodule Detection
Musculoskeletal Imaging
Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity
Improve bone age assessment by learning from anatomical local regions
An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCT
Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware Learning
Manifold Ordinal-Mixup for Ordered Classes inTW3-based Bone Age Assessment
Contour-based Bone Axis Detection for X-Ray Guided Surgery on the Knee
Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks
Discriminative dictionary-embedded network for comprehensive vertebrae tumor diagnosis
Multi-vertebrae segmentation from arbitrary spine MR images under global view
A Convolutional Approach to Vertebrae Identification in Whole Spine MRI
Keypoints Localization for Joint Vertebra Detection and Fracture Severity Quantification
Grading Loss: A Fracture Grade-based Metric Loss for Vertebral Fracture Detection
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT
SIMBA: Specific Identity Markers for Bone Age Assessment
Doctor Imitator: A Graph-based Bone Age Assessment Framework Using Hand Radiographs
Inferring the 3D Standing Spine Posture from 2D Radiographs
Generative Modelling of 3D in-silico Spongiosa with Controllable Micro-Structural Parameters
GAN-based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation
Robust Bone Shadow Segmentation from 2D Ultrasound Through Task Decomposition.