Original Research
Accepted on 03 Nov 2025
Texture Analysis Improves Lung-Tissue Segmentation on High-Resolution Computed Tomography in COVID-19
in Cardiothoracic Imaging
Frontiers in Radiology
Type at least 3 characters
16 articles
Original Research
Accepted on 30 Oct 2025
Application of one heartbeat acquisition with motion correction algorithm in CCTA of patients with atrial fibrillation: Evaluation of coronary artery stenose using Artificial Intelligence Assisted Diagnostic System
in Cardiothoracic Imaging
Frontiers in Radiology
Original Research
Published on 26 Jun 2025
A comparative analysis of CT angiography and echocardiography in the evaluation of chest findings in patients with interrupted aortic arch
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2025.1616112
- 1,589 views
Original Research
Published on 24 Apr 2025
Radiologic analysis of CT imaging patterns and clinical correlations in hospitalized pediatric COVID-19 patients
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2025.1571672
- 1,363 views
Review
Published on 11 Mar 2025
CT diagnosis and destiny of acute aortic intramural hematoma
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2025.1552644
- 2,516 views
Original Research
Published on 14 Jan 2025
Comparison of dark-field chest radiography and CT for the assessment of COVID-19 pneumonia
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2024.1487895
- 2,138 views
- 1 citation
Editorial
Published on 15 Nov 2024
Editorial: Artificial intelligence and multimodal medical imaging data fusion for improving cardiovascular disease care
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2024.1412404
- 2,333 views
- 2 citations
Original Research
Published on 07 Aug 2024
Wideband radiofrequency pulse sequence for evaluation of myocardial scar in patients with cardiac implantable devices
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2024.1327406
- 2,015 views
- 1 citation
Original Research
Published on 27 Feb 2024
Utility of multimodal longitudinal imaging data for dynamic prediction of cardiovascular and renal disease: the CARDIA study
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2024.1269023
- 2,935 views
- 2 citations
Original Research
Published on 21 Feb 2024
Left atrial diastasis strain slope is a marker of hemodynamic recovery in post-ST elevation myocardial infarction: the Laser Atherectomy for STemi, Pci Analysis with Scintigraphy Study (LAST-PASS)
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2024.1294398
- 3,913 views
Review
Published on 12 Jan 2024
Applications of AI in multi-modal imaging for cardiovascular disease
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2023.1294068
- 9,292 views
- 33 citations
Original Research
Published on 01 Dec 2023
Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2023.1214521
- 1,675 views
- 1 citation
Original Research
Published on 03 Aug 2023
Layer-specific strain in patients with cardiac amyloidosis using tissue tracking MR
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2023.1115527
- 2,032 views
- 1 citation
Original Research
Published on 02 Jun 2023
Deep learning-based left ventricular segmentation demonstrates improved performance on respiratory motion-resolved whole-heart reconstructions
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2023.1144004
- 4,532 views
- 10 citations
Original Research
Published on 20 Oct 2022
Correlation analysis between unenhanced and enhanced CT radiomic features of lung cancers presenting as solid nodules and their efficacy for predicting hilar and mediastinal lymph node metastases
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2022.911179
- 2,683 views
- 3 citations
Original Research
Published on 08 Apr 2022
An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study
in Cardiothoracic Imaging
Frontiers in Radiology
doi 10.3389/fradi.2022.781536
- 4,192 views
- 1 citation