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Chuanmiao Xie

Observed names: C Xie, C. Xie, Chuan-Miao Xie, Chuan-miao Xie, ChuanMiao Xie, Chuan‐miao Xie, Xie C, chuanmiao xie
Observed institutions: National Institutes of Health, Sun Yat-sen University, Columbia University Irving Medical Center, Government of the United States of America, Sun Yat-sen Memorial Hospital, Nanfang Hospital, Dongguan People’s Hospital, The First Affiliated Hospital, Sun Yat-sen University, National Cancer Institute, Sun Yat-sen University Cancer Center, Center for Cancer Research, Second Xiangya Hospital of Central South University, Guangzhou Eighth People's Hospital, State Key Laboratory of Oncology in South China, Zhongshan Ophthalmic Center, Sun Yat-sen University, Southern Medical University
ORCID: 0000-0001-8533-623X
Observed ORCIDs: 0000-0001-8533-623X, 0000-0002-9211-8609
OpenAlex ID: A5045641777
Reproducibility of radiomics for deciphering tumor phenotype with imaging
2016 · Binsheng Zhao, Yongqiang Tan, et al. · Scientific Reports · 509
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Large-scale pancreatic cancer detection via non-contrast CT and deep learning
2023 · Kai Cao, Yingda Xia, et al. · Nature Medicine · 360
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Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics–Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer
2020 · Yunfang Yu, Yujie Tan, et al. · JAMA Network Open · 300
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Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study
2021 · Yunfang Yu, Zifan He, et al. · EBioMedicine · 282
Prognostic and predictive value of tumor-infiltrating lymphocytes for clinical therapeutic research in patients with non-small cell lung cancer
2016 · Dong-Qiang Zeng, Yun-Fang Yu, et al. · Oncotarget · 192
Papillary Thyroid Cancer: Dual-Energy Spectral CT Quantitative Parameters for Preoperative Diagnosis of Metastasis to the Cervical Lymph Nodes
2014 · Xuewen Liu, Dian Ouyang, et al. · Radiology · 157
A Prognostic Predictive System Based on Deep Learning for Locoregionally Advanced Nasopharyngeal Carcinoma
2020 · Mengyun Qiang, Chaofeng Li, et al. · JNCI Journal of the National Cancer Institute · 94
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Development of a self-constrained 3D DenseNet model in automatic detection and segmentation of nasopharyngeal carcinoma using magnetic resonance images
2020 · Liangru Ke, Yishu Deng, et al. · Oral Oncology · 83
A new, preoperative, MRI-based scoring system for diagnosing malignant axillary lymph nodes in women evaluated for breast cancer
2012 · Ni He, Chuanmiao Xie, et al. · European Journal of Radiology · 73
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Pretreatment MRI radiomics analysis allows for reliable prediction of local recurrence in non-metastatic T4 nasopharyngeal carcinoma
2019 · Lu-Lu Zhang, Meng-Yao Huang, et al. · EBioMedicine · 70
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The diagnostic performance of quantitative mapping in breast cancer patients: a preliminary study using synthetic MRI
2020 · Tiebao Meng, Ni He, et al. · Cancer Imaging · 67
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High Expression of KIF20A Is Associated with Poor Overall Survival and Tumor Progression in Early-Stage Cervical Squamous Cell Carcinoma
2016 · Weijing Zhang, Weiling He, et al. · PLoS ONE · 64
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Deep learning nomogram based on Gd-EOB-DTPA MRI for predicting early recurrence in hepatocellular carcinoma after hepatectomy
2023 · Meng Yan, Xiao Zhang, et al. · European Radiology · 57
Moderately Hypofractionated Once-Daily Compared With Twice-Daily Thoracic Radiation Therapy Concurrently With Etoposide and Cisplatin in Limited-Stage Small Cell Lung Cancer: A Multicenter, Phase II, Randomized Trial
2021 · Bo Qiu, QiWen Li, et al. · International Journal of Radiation Oncology*Biology*Physics · 55
Longitudinal Cortical Volume Changes Correlate With Motor Recovery in Patients After Acute Local Subcortical Infarction
2013 · Chao Dang, Gang Liu, et al. · Stroke · 55
Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning
2023 · Jianpeng Li, Zhengxuan Qiu, et al. · Computer Methods and Programs in Biomedicine · 52
Development and validation of a deep-learning model for detecting brain metastases on 3D post-contrast MRI: a multi-center multi-reader evaluation study
2022 · Shaohan Yin, Xiao Luo, et al. · Neuro-Oncology · 52
Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT
2021 · Kunfeng Liu, Kunwei Li, et al. · European Radiology · 52
Radiation-induced hippocampal atrophy in patients with nasopharyngeal carcinoma early after radiotherapy: a longitudinal MR-based hippocampal subfield analysis
2018 · Xiaofei Lv, Haoqiang He, et al. · Brain Imaging and Behavior · 49
Deep Learning for Fully Automated Prediction of Overall Survival in Patients Undergoing Resection for Pancreatic Cancer
2022 · Jiawen Yao, Kai Cao, et al. · Annals of Surgery · 40
Primary Lymphoepithelioma-like Carcinoma of the Lung
2014 · Yunxian Mo, Jingxian Shen, et al. · Journal of Thoracic Imaging · 40
CT radiomics-based long-term survival prediction for locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy using features from tumor and tumor organismal environment
2022 · Nai-Bin Chen, Mai Xiong, et al. · Radiation Oncology · 39
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Structural remodeling of white matter in the contralesional hemisphere is correlated with early motor recovery in patients with subcortical infarction
2015 · Gang Liu, Chao Dang, et al. · Restorative Neurology and Neuroscience · 38
Radiomics Analysis of Susceptibility Weighted Imaging for Hepatocellular Carcinoma: Exploring the Correlation between Histopathology and Radiomics Features
2020 · Zhijun Geng, Yunfei Zhang, et al. · Magnetic Resonance in Medical Sciences · 36
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Motor Recovery Prediction With Clinical Assessment and Local Diffusion Homogeneity After Acute Subcortical Infarction
2017 · Gang Liu, Shuangquan Tan, et al. · Stroke · 36
Works count: 202
Citation count: 4,254
H-index: 30
I10-index: 84
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