Latest Research in Cardiac Imaging and Diagnostics
19 research papers · 2026 median publication year
Top Research Topics in Cardiac Imaging and Diagnostics
- Cardiac Imaging and Diagnostics — 3 papers
- Acute Ischemic Stroke Management — 3 papers
- Cardiovascular Function and Risk Factors — 3 papers
- Image and Video Processing — 2 papers
- Computer Vision and Pattern Recognition — 2 papers
- Advanced MRI Techniques and Applications — 1 papers
- Cardiac Valve Diseases and Treatments — 1 papers
- Machine Learning — 1 papers
- Cerebrovascular and Carotid Artery Diseases — 1 papers
- Hip and Femur Fractures — 1 papers
Highest-Cited Papers
- Feasibility of deep learning-based image reconstruction using TrueFidelity for coronary calcium scoring
- Agreement of Cercare artificial intelligence with neuroradiologist interpretation and Vitrea CT perfusion outputs in acute ischaemic stroke: A dual-centre retrospective study
- Circle of Willis-Guided Localization for Simultaneous Detection and Classification of Large Vessel Occlusions in Brain CTA
- Anatomy- and Time-Based Post-Processing with CT Perfusion-Derived Time–Vessel Maps to Reduce Incorrect Occlusion Detections in Late-Phase CT Angiography
- Noncontrast MRI Assessment of Oxygen Metabolism in Human Calf Muscles Using VSASL and ANN‐Based GESSE
- Automated Distinction of Intimal and Medial Intracranial Arterial Calcification from CT Head
- Diagnostic accuracy of deep learning models for detecting valvular heart diseases using echocardiography: a systematic review and meta-analysis
- Leveraging Cardiac Imaging to Improve ECG-Based Detection of Chagas Disease in Resource-Constrained Settings
- Patient-Specific Articulated Digital Twins from a Single Full-Body CT Scan
- Automated Assessment of Echocardiograms to Aid Diagnosis of Heart Failure with Preserved Ejection Fraction
- AI-Powered Detection of Left Ventricular Myocardial Scar from Dual-Sequence CT: Global and Segmental Prediction Validated by CMR
- A fully automated deep learning pipeline system for carotid plaque segmentation and vulnerability classification on multi-contrast MRI: a multicenter study
- Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction
- A CT-enhanced multi-modal framework for predicting early conversion to arthroplasty in patients with intracapsular hip fractures
- Variational autoencoders can detect coronary artery disease in myocardial perfusion SPECT images
- Dual-flow convolutional neural network for automatic measurement of left ventricular ejection fraction and global longitudinal strain in echocardiography
- Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction
- Intracranial Aneurysm Classification and Segmentation via Tri-Axial ROI and Multi-Task Learning
- Post-operative radiological evaluation of a bilateral hypoglossal nerve stimulation system