Search Results - "Xueqian, Xie"

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT by Jiang, Beibei, Li, Nianyun, Shi, Xiaomeng, Zhang, Shuai, Li, Jianying, de Bock, Geertruida H, Vliegenthart, Rozemarijn, Xie, Xueqian

“…Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung cancer screening while minimizing the radiation dose…”
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Human-recognizable CT image features of subsolid lung nodules associated with diagnosis and classification by convolutional neural networks by Jiang, Beibei, Zhang, Yaping, Zhang, Lu, H. de Bock, Geertruida, Vliegenthart, Rozemarijn, Xie, Xueqian

“…Objectives The interpretability of convolutional neural networks (CNNs) for classifying subsolid nodules (SSNs) is insufficient for clinicians. Our purpose was…”
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Volumetric computed tomography screening for lung cancer: three rounds of the NELSON trial by HOREWEG, Nanda, VAN DER AALST, Carlijn M, LAMMERS, Jan-Willem J, NACKAERTS, Kristiaan, VAN ROSMALEN, Joost, OUDKERK, Matthijs, DE KONING, Harry J, VLIEGENTHART, Rozemarijn, YINGRU ZHAO, XUEQIAN XIE, SCHOLTEN, Ernst Th, MALI, Willem, THUNNISSEN, Erik, WEENINK, Carla, GROEN, Harry J. M

“…Several medical associations recommended lung cancer screening by low-dose computed tomography scanning for high-risk groups. Counselling of the candidates on…”
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Development of artificial intelligence in epicardial and pericoronary adipose tissue imaging: a systematic review by Zhang, Lu, Sun, Jianqing, Jiang, Beibei, Wang, Lingyun, Zhang, Yaping, Xie, Xueqian

“…Background Artificial intelligence (AI) technology has been increasingly developed and studied in cardiac imaging. This systematic review summarizes the latest…”
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3D radiomics predicts EGFR mutation, exon-19 deletion and exon-21 L858R mutation in lung adenocarcinoma by Liu, Guixue, Xu, Zhihan, Ge, Yingqian, Jiang, Beibei, Groen, Harry, Vliegenthart, Rozemarijn, Xie, Xueqian

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Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study by Zhang, Yaping, van der Werf, Niels R., Jiang, Beibei, van Hamersvelt, Robbert, Greuter, Marcel J. W., Xie, Xueqian

“…Objective To classify motion-induced blurred images of calcified coronary plaques so as to correct coronary calcium scores on nontriggered chest CT, using a…”
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Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia by Feng, Yan, Xu, Zhihan, Zhang, Lin, Zhang, Yaping, Xu, Hao, Zhuang, Xiaozhong, Zhang, Hao, Xie, Xueqian

“…Objectives: To determine the association between radiomics signature (Rad-signature) of pericoronary tissue (PCT) in coronary computed tomography angiography…”
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Risk stratification of thymic epithelial tumors based on peritumor CT radiomics and semantic features by Zhang, Lin, Xu, Zhihan, Feng, Yan, Pan, Zhijie, Li, Qinyao, Wang, Ai, Hu, Yanfei, Xie, Xueqian

“…Objectives To develop and validate nomograms combining radiomics and semantic features to identify the invasiveness and histopathological risk stratification…”
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Disposable Stainless-Steel Wire-Based Electrochemical Microsensor for In Vivo Continuous Monitoring of Hydrogen Peroxide in Vein of Tomato Leaf by Huo, Doudou, Li, Daodong, Xu, Songzhi, Tang, Yujie, Xie, Xueqian, Li, Dayong, Song, Fengming, Zhang, Yali, Li, Aixue, Sun, Lijun

“…As one of the pivotal signal molecules, hydrogen peroxide (H O ) has been demonstrated to play important roles in many physiological processes of plants…”
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Airway quantification using adaptive statistical iterative reconstruction-V on wide-detector low-dose CT: a validation study on lung specimen by Zhang, Lin, Li, Zhengyu, Meng, Jie, Xie, Xueqian, Zhang, Hao

“…Purpose To evaluate the accuracy of airway quantification of adaptive statistical iterative reconstruction (ASIR)-V on low-dose CT using a human lung specimen…”
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Classification of moving coronary calcified plaques based on motion artifacts using convolutional neural networks: a robotic simulating study on influential factors by Dobrolińska, Magdalena, van der Werf, Niels, Greuter, Marcel, Jiang, Beibei, Slart, Riemer, Xie, Xueqian

“…Motion artifacts affect the images of coronary calcified plaques. This study utilized convolutional neural networks (CNNs) to classify the motion-contaminated…”
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Machine-Learning-Derived Nomogram Based on 3D Radiomic Features and Clinical Factors Predicts Progression-Free Survival in Lung Adenocarcinoma by Liu, Guixue, Xu, Zhihan, Zhang, Yaping, Jiang, Beibei, Zhang, Lu, Wang, Lingyun, de Bock, Geertruida H, Vliegenthart, Rozemarijn, Xie, Xueqian

“…To establish a machine-learning-derived nomogram based on radiomic features and clinical factors to predict post-surgical 2-year progression-free survival…”
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Paeoniflorin ameliorates chronic colitis via the DR3 signaling pathway in group 3 innate lymphoid cells by Huang, Shaowei, Xie, Xueqian, Xu, Bo, Pan, Zengfeng, Liang, Junjie, Zhang, Meiling, Pan, Simin, Wang, Xiaojing, Zhao, Meng, Wang, Qing, Chen, Jinyan, Li, Yanyang, Zhou, Lian, Luo, Xia

“…Inhibiting the death receptor 3 (DR3) signaling pathway in group 3 innate lymphoid cells (ILC3s) presents a promising approach for promoting mucosal repair in…”
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Small irregular pulmonary nodules in low-dose CT: observer detection sensitivity and volumetry accuracy by Xie, Xueqian, Willemink, Martin J, de Jong, Pim A, van Ooijen, Peter M A, Oudkerk, Matthijs, Vliegenthart, Rozemarijn, Greuter, Marcel J W

“…The purpose of this study is to evaluate observer detection and volume measurement of small irregular solid artificial pulmonary nodules on 64-MDCT in an…”
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Methods of computed tomography screening and management of lung cancer in Tianjin: design of a population-based cohort study by Du, Yihui, Zhao, Yingru, Sidorenkov, Grigory, de Bock, Geertruida H, Cui, Xiaonan, Huang, Yubei, Dorrius, Monique D, Rook, Mieneke, Groen, Harry J M, Heuvelmans, Marjolein A, Vliegenthart, Rozemarijn, Chen, Kexin, Xie, Xueqian, Liu, Shiyuan, Oudkerk, Matthijs, Ye, Zhaoxiang

“…European lung cancer screening studies using computed tomography (CT) have shown that a management protocol based on measuring lung nodule volume and volume…”
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Development and multicenter validation of chest X-ray radiography interpretations based on natural language processing by Zhang, Yaping, Liu, Mingqian, Hu, Shundong, Shen, Yao, Lan, Jun, Jiang, Beibei, de Bock, Geertruida H., Vliegenthart, Rozemarijn, Chen, Xu, Xie, Xueqian

“…Background Artificial intelligence can assist in interpreting chest X-ray radiography (CXR) data, but large datasets require efficient image annotation. The…”
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Detectability and Volumetric Accuracy of Pulmonary Nodules in Low-Dose Photon-Counting Detector Computed Tomography: An Anthropomorphic Phantom Study by Hop, Joost F, Walstra, Anna N. H, Pelgrim, Gert-Jan, Xie, Xueqian, Panneman, Noor A, Schurink, Niels W, Faby, Sebastian, van Straten, Marcel, de Bock, Geertruida H, Vliegenthart, Rozemarijn, Greuter, Marcel J. W

“…The aim of this phantom study was to assess the detectability and volumetric accuracy of pulmonary nodules on photon-counting detector CT (PCD-CT) at different…”
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The International Association for the Study of Lung Cancer Early Lung Imaging Confederation by Mulshine, James L, Avila, Ricardo S, Conley, Ed, Devaraj, Anand, Ambrose, Laurie Fenton, Flanagan, Tanya, Henschke, Claudia I, Hirsch, Fred R, Janz, Robert, Kakinuma, Ryutaro, Lam, Stephen, McWilliams, Annette, Van Ooijen, Peter M A, Oudkerk, Matthijs, Pastorino, Ugo, Reeves, Anthony, Rogalla, Patrick, Schmidt, Heidi, Sullivan, Daniel C, Wind, Haije H J, Wu, Ning, Wynes, Murry, Xueqian, Xie, Yankelevitz, David F, Field, John K

“…To improve outcomes for lung cancer through low-dose computed tomography (LDCT) early lung cancer detection. The International Association for the Study of…”
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Clinical applications of generative artificial intelligence in radiology: image translation, synthesis, and text generation by Zhong, Zhiqi, Xie, Xueqian

“…Abstract Generative artificial intelligence (AI) has enabled tasks in radiology, including tools for improving image quality. Recently, new hotspots have…”
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Development and application of artificial intelligence in cardiac imaging by Jiang, Beibei, Guo, Ning, Ge, Yinghui, Zhang, Lu, Oudkerk, Matthijs, Xie, Xueqian

“…In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep…”
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