Xueqian Xie
www.researchgate.net
0000-0002-6669-0097
Shanghai General Hospital
37 papers found
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Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists
Benign incidental cardiac findings in chest and cardiac CT imaging
Combined analysis of imaging tumor capsule with imaging tumor size guides the width of resection margin for solitary hepatocellular carcinoma
Measurement Accuracy and Repeatability of RECIST-Defined Pulmonary Lesions and Lymph Nodes in Ultra-Low-Dose CT Based on Deep Learning Image Reconstruction
Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia
Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review
Motion artifact removal in coronary CT angiography based on generative adversarial networks
COPD identification and grading based on deep learning of lung parenchyma and bronchial wall in chest CT images
Machine-learning-based radiomics identifies atrial fibrillation on the epicardial fat in contrast-enhanced and non-enhanced chest CT
Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra–Low-Dose Chest CT
Lung Nodule Detectability of Artificial Intelligence-assisted CT Image Reading in Lung Cancer Screening
Is small airway dysfunction an abnormal phenomenon for patients with normal forced expiratory volume in 1 second and the ratio of forced expiratory volume in 1 second to forced vital capacity?
Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing
Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors
Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review
Machine-Learning-Derived Nomogram Based on 3D Radiomic Features and Clinical Factors Predicts Progression-Free Survival in Lung Adenocarcinoma
Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks
Simultaneous Identification of EGFR,KRAS,ERBB2, and TP53 Mutations in Patients with Non-Small Cell Lung Cancer by Machine Learning-Derived Three-Dimensional Radiomics
Feasibility of bronchial wall quantification in low‐ and ultralow‐dose third‐generation dual‐source CT: An ex vivo lung study
3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma
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