Predictive value of node-RADS scoring system for axillary lymph node metastasis in breast cancer [0.03%]
乳腺癌腋窝淋巴结转移的Node-RADS评分系统预测价值分析
Hazal Selvi Çubuk,Murathan Erkent,Burak Yağdıran et al.
Hazal Selvi Çubuk et al.
Background: We aimed to evaluate the predictive value of preoperative Node-RADS determination at imaging for axillary lymph node (ALN) involvement in cases of breast cancer. ...
Non-Gaussian diffusion MRI using CTRW and FROC models for early treatment response assessment in nasopharyngeal carcinoma [0.03%]
基于CTRW和FROD模型的非高斯弥散MRI在鼻咽癌治疗早期评估中的应用研究
Jun Liu,Hengfeng Shi,Huimin Lu et al.
Jun Liu et al.
Establishing T1 and ECV mapping based nomogram differentiate acute ischemic and nonischemic myocardial injury: a proof-of-concept study [0.03%]
基于T1和ECV图谱的列线图区分急性心肌缺血性和非缺血性损伤：概念验证研究
Yanping Su,Cunxue Pan,Hongfei Hu et al.
Yanping Su et al.
Objectives: To develop and validate a nomogram based on T1 and extracellular volume fraction (ECV) mapping derived from cardiovascular magnetic resonance (CMR) for differentiating ischemic from nonischemic cardiomyopathie...
Diagnostic value of ultrasound peritumoral viscoelasticity parameters in breast cancer: enhancing BI-RADS classification performance [0.03%]
超声肿瘤周身黏弹性参数在乳腺癌诊断中的价值：提升BI-RADS分类性能
Jiatong Xu,Junni Shi,Yunqian Huang et al.
Jiatong Xu et al.
Correction to: Full-scale representation guided network for retinal vessel segmentation [0.03%]
纠正：全尺度表示引导的视网膜血管分割网络
Sunyong Seo,Sangwook Yoo,Huisu Yoon
Sunyong Seo
Published Erratum
BMC medical imaging. 2026 Jan 27;26(1):56. DOI:10.1186/s12880-026-02158-w 2026
Early detection of right atrial dysfunction assessed by MR-feature tracking in patients with arrhythmogenic right ventricular cardiomyopathy [0.03%]
磁共振特征追踪技术在右室心肌病患者中早期检测右房功能障碍中的应用价值研究
Jingjing Shi,Yiyuan Gao,Xiaojie Wang et al.
Jingjing Shi et al.
Background: The importance of right atrial (RA) function assessment in arrhythmogenic right ventricular cardiomyopathy (ARVC) is increasingly being recognized. MR-feature tracking (MR-FT) has emerged as a novel approach f...
A multicenter study: habitat imaging and radiomics to guide precision and individualized surgical treatment in chronic osteomyelitis [0.03%]
一项多中心研究：影像环境和影像组学在慢性骨髓炎精准化及个体化手术治疗中的导向作用
Qiyu Jia,Junna Wang,Jie Lin et al.
Qiyu Jia et al.
Glomeruli detection and classification in histopathological images using deep learning semantic segmentation [0.03%]
基于深度学习语义分割的肾小球检测与分类
Pablo Juan-Ferrer,Nayara Pérez-Sánchez,Filiberto Pla et al.
Pablo Juan-Ferrer et al.
CT-based radiomics nomogram for preoperative prediction of Ki-67 in lung neuroendocrine neoplasms: a multicenter study [0.03%]
基于CT的影像组学预测肺神经内分泌肿瘤术前Ki-67水平的列线图模型：一项多中心研究
Xiao Pan,Yanni Zou,Xiaoxiao Huang et al.
Xiao Pan et al.
Objective: Lung neuroendocrine neoplasms (L-NENs) are increasingly recognized, yet reliable preoperative assessment of the Ki-67 proliferation index remains invasive and subject to sampling variability. We aimed to develo...
Prognostic value of deep learning-based coronary artery calcium score and quantitative pneumonia burden in patients hospitalized with COVID-19 [0.03%]
基于深度学习的冠状动脉钙评分和定量肺炎负担在COVID-19住院患者中的预后价值
Chiara Nardocci,Judit Simon,Bettina Budai et al.
Chiara Nardocci et al.