IJ Radiology
An Innovative Journal in the Field of Radiology
Scopus by Title (Ref)
1. Multi-center strain elastography radiomics for breast cancer diagnosis: integrating intratumoral and peritumoral regions
- Li G. , et al.
2. Non-Invasive Prediction of Axillary Lymph Node Metastasis in Breast Cancer Using Combined Clinical, Radiomics, and Deep Learning Features
- Chen J. , et al.
3. Novel investigational modalities for clinical breast imaging: A narrative review
- Sengupta S. , et al.
5. Improving breast ultrasonography education: the impact of AI-based decision support on the performance of nonspecialist medical professionals
- Lee S. , et al.
6. Enhancing Early Breast Cancer Diagnosis With Contrast-Enhanced Ultrasound Radiomics: Insights From Intratumoral and Peritumoral Analysis
- Li G. , et al.
8. Photoacoustic Imaging Radiomics to Identify Breast Cancer in BI-RADS 4 or 5 Lesions
- Li G. , et al.
10. The Role of a Deep Learning-Based Computer-Aided Diagnosis System and Elastography in Reducing Unnecessary Breast Lesion Biopsies
- Wang Y. , et al.
11. Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study
- Gu Y. , et al.
12. INTERPRETATION OF EMERGENCY COMPUTER TOMOGRAPHY PULMONARY ANGIOGRAM
- Sohail Z. , et al.
13. Prospective assessment of breast lesions AI classification model based on ultrasound dynamic videos and ACR BI-RADS characteristics
- Qiu S. , et al.
14. Can Pre-biopsy Second-Look Breast Ultrasound Affect Clinical Management? Experience From a Single Tertiary Hospital
- Ma L. , et al.
15. S-Thyroid Computer-Aided Diagnosis Ultrasound System of Thyroid Nodules: Correlation Between Transverse and Longitudinal Planes
- Yang K. , et al.
16. Enhancing Performance of Breast Ultrasound in Opportunistic Screening Women by a Deep Learning-Based System: A Multicenter Prospective Study
- Zhao C. , et al.
17. The added value of S-detect in the diagnostic accuracy of breast masses by senior and junior radiologist groups: a systematic review and meta-analysis
- Chen P. , et al.
18. Agreement in breast lesion assessment and final BI-RADS classification between radial and meander-like breast ultrasound
- Brasier-Lutz P. , et al.
19. S-Detect characterization of focal solid breast lesions: a prospective analysis of inter-reader agreement for US BI-RADS descriptors
- Bartolotta T.V. , et al.
20. Exploring the diagnostic value of photoacoustic imaging for breast cancer: The identification of regional photoacoustic signal differences of breast tumors
- Zhang R. , et al.
21. A review of the role of the S-detect computer-aided diagnostic ultrasound system in the evaluation of benign and malignant breast and thyroid masses
- Zhang D. , et al.
22. A National Chinese Survey on Ultrasound Feature Interpretation and Risk Assessment of Breast Masses Under ACR BI-RADS
- Wen W. , et al.
23. Correlation between pharmacokinetic analysis of DCE-MRI and breast image reporting and data system (BIRADS) classification
- Wu X. , et al.