Yunjing H. Xue
No. 29, Xinquan Road
Fuzhou, 350004, China
Fuzhou, 350004, China
Last Updated: 09/26/2026
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Found 79 publications
Corrigendum to "Histogram analysis of advanced diffusion-weighted MRI models for evaluating the grade and proliferative activity of meningiomas" [Acad Radiol 2025; 32:2171-2181].
Journal: Academic radiology
Published: August 21, 2026
Delta Histogram Analysis of Synthetic MRI for Evaluating Grade and Cellular Proliferation of Meningioma.
Journal: Radiology. Imaging cancer
Published: May 29, 2026
Deep Learning Image Reconstruction Algorithm for Quantitative Assessment of Low-Dose Biphasic Chest CT in Chronic Obstructive Pulmonary Disease.
Journal: International journal of chronic obstructive pulmonary disease
Published: April 07, 2026
Associations Between Hemodynamics, Shape and Atherosclerosis in M1 of Middle Cerebral Artery: Insights From 4-Dimensional Flow Magnetic Resonance Imaging in Patients With Ischemic Stroke.
Journal: Journal of the American Heart Association
Published: February 11, 2026
Abdominal Dual-Energy CT with Deep Learning Reconstruction: Preserving Image Quality and Hepatic Lesion Conspicuity with Reduced Radiation and Contrast.
Journal: Journal of imaging informatics in medicine
Published: January 30, 2026
Development and multicenter validation of an immunoinflammatory marker-MRI model for pathological complete response after neoadjuvant chemotherapy in invasive breast cancer.
Journal: Translational cancer research
Published: December 22, 2025
Intranodular and perinodular radiomics features based on non-contrast CT to distinguish pulmonary cryptococcosis from lung adenocarcinoma: a two-center study.
Journal: Frontiers in oncology
Published: November 20, 2025
Can brain-to-tumour outer interface radiomics improve the efficiency of MRI in predicting the brain invasion of meningiomas?
Journal: Cancer imaging : the official publication of the International Cancer Imaging Society
Published: November 04, 2025
An interpretable multimodal model integrating clinical, spectral CT imaging, and deep learning analysis of intra- and peritumoral regions for preoperative prediction of perineural invasion in gastric cancer: A prospective, multicenter study.
Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published: October 15, 2025
Deep Learning Analysis Based on Dual-energy CT-Derived Iodine Map for Predicting PD-L1 Expression in Gastric Cancer: A Multicenter Study.
Journal: Academic radiology
Published: October 05, 2025
Predicting axillary lymph node metastasis in clinical T1/2 stage breast cancer using iodine map-derived multi-region radiomics and multi-modality imaging characteristics.
Journal: European journal of radiology
Published: September 17, 2025
Last Updated: 09/26/2026