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Development and Validation of a Radiomics Nomogram Using Computed Tomography for Differentiating Immune Checkpoint Inhibitor-Related Pneumonitis From Radiation Pneumonitis for Patients With Non-Small Cell Lung Cancer

Frontiers in immunology, 2022-04, Vol.13, p.870842

2022

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Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma

BMC cancer, 2024-03, Vol.24 (1), p.363-363, Article 363

2024

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Editorial: Prognosis prediction and risk stratification in head and neck cancer

Frontiers in oncology, 2022-12, Vol.12, p.1037001-1037001

2022

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Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery

Frontiers in oncology, 2020-08, Vol.10, p.1398-1398

2020

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Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

Journal of bone oncology, 2019-12, Vol.19, p.100263, Article 100263

2019

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Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

BMC medical imaging, 2020-07, Vol.20 (1), p.1-75, Article 75

2020

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Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model

European journal of medical research, 2022-12, Vol.27 (1), p.272-11, Article 272

2022

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A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis

Journal of translational medicine, 2023-11, Vol.21 (1), p.1-788, Article 788

2023

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Treatment planning comparison of volumetric modulated arc therapy with the trilogy and the Halcyon for bilateral breast cancer

Radiation oncology (London, England), 2021-02, Vol.16 (1), p.35-10, Article 35

2021

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Comparative analysis of dose calculation algorithms for CyberKnife-based stereotactic radiotherapy in lung cancer

Frontiers in oncology, 2023-10, Vol.13, p.1215976

2023

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Volumetric modulated arc therapy for hippocampal-sparing prophylactic cranial irradiation: Planning comparison of Halcyon and C-arm accelerators

Frontiers in oncology, 2023-03, Vol.13, p.993809-993809

2023

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Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram

European journal of medical research, 2024-04, Vol.29 (1), p.217-217, Article 217

2024

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Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging

BMC medical imaging, 2020-02, Vol.20 (1), p.12-8, Article 12

2020

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Quantification of Myocardial Dosimetry and Glucose Metabolism Using a 17-Segment Model of the Left Ventricle in Esophageal Cancer Patients Receiving Radiotherapy

Frontiers in oncology, 2020-08, Vol.10, p.1599

2020

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Bone marrow dosimetric analysis of lymphopenia in patients with esophageal squamous cell carcinoma treated with chemoradiotherapy

Cancer medicine (Malden, MA), 2021-09, Vol.10 (17), p.5847-5858

2021

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Radiomics Nomogram Based on Multiple-Sequence Magnetic Resonance Imaging Predicts Long-Term Survival in Patients Diagnosed With Nasopharyngeal Carcinoma

Frontiers in oncology, 2022-04, Vol.12, p.852348-852348

2022

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Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images

Frontiers in oncology, 2022-04, Vol.12, p.881931-881931

2022

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Radiomics in radiotherapy: Applications and future challenges

Precision radiation oncology, 2020-03, Vol.4 (1), p.29-33

2020

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Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors

Thoracic cancer, 2021-12, Vol.12 (23), p.3110-3120

2021

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Cone‐beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients

Thoracic cancer, 2020-04, Vol.11 (4), p.964-972

2020

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The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis

Frontiers in oncology, 2018, Vol.8, p.586-586

2018

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Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics

American journal of roentgenology (1976), 2019-12, Vol.213 (6), p.1348-1357

2019

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Deep learning‐based combination of [18F]‐FDG PET and CT images for producing pulmonary perfusion image

Medical physics (Lancaster), 2023-12, Vol.50 (12), p.7779-7790

2023

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Automatic segmentation of hippocampus in hippocampal sparing whole brain radiotherapy: A multitask edge‐aware learning

Medical physics (Lancaster), 2021-04, Vol.48 (4), p.1771-1780

2021

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Development and verification of radiomics framework for computed tomography image segmentation

Medical physics (Lancaster), 2022-10, Vol.49 (10), p.6527-6537

2022

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Development and Validation of a Radiomics Nomogram Using Computed Tomography for Differentiating Immune Checkpoint Inhibitor-Related Pneumonitis From Radiation Pneumonitis for Patients With Non-Small Cell Lung Cancer

Research on multi-model imaging machine learning for distinguishing early hepatocellular carcinoma

Editorial: Prognosis prediction and risk stratification in head and neck cancer

Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery

Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma

Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor

Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model

A multi-task deep learning model for EGFR genotyping prediction and GTV segmentation of brain metastasis

Treatment planning comparison of volumetric modulated arc therapy with the trilogy and the Halcyon for bilateral breast cancer

Comparative analysis of dose calculation algorithms for CyberKnife-based stereotactic radiotherapy in lung cancer

Volumetric modulated arc therapy for hippocampal-sparing prophylactic cranial irradiation: Planning comparison of Halcyon and C-arm accelerators

Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram

Discrimination of mediastinal metastatic lymph nodes in NSCLC based on radiomic features in different phases of CT imaging

Quantification of Myocardial Dosimetry and Glucose Metabolism Using a 17-Segment Model of the Left Ventricle in Esophageal Cancer Patients Receiving Radiotherapy

Bone marrow dosimetric analysis of lymphopenia in patients with esophageal squamous cell carcinoma treated with chemoradiotherapy

Radiomics Nomogram Based on Multiple-Sequence Magnetic Resonance Imaging Predicts Long-Term Survival in Patients Diagnosed With Nasopharyngeal Carcinoma

Reproducibility for Hepatocellular Carcinoma CT Radiomic Features: Influence of Delineation Variability Based on 3D-CT, 4D-CT and Multiple-Parameter MR Images

Radiomics in radiotherapy: Applications and future challenges

Development and validation of a prognostic nomogram for malignant esophageal fistula based on radiomics and clinical factors

Cone‐beam CT radiomics features might improve the prediction of lung toxicity after SBRT in stage I NSCLC patients

The Feasibility Study of Megavoltage Computed Tomographic (MVCT) Image for Texture Feature Analysis

Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics

Deep learning‐based combination of [18F]‐FDG PET and CT images for producing pulmonary perfusion image

Automatic segmentation of hippocampus in hippocampal sparing whole brain radiotherapy: A multitask edge‐aware learning

Development and verification of radiomics framework for computed tomography image segmentation

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