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Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer

Cancer research (Chicago, Ill.), 2017-07, Vol.77 (14), p.3922-3930

2017

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Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

The European respiratory journal, 2019-03, Vol.53 (3), p.1800986

2019

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Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation

Journal of magnetic resonance imaging, 2019-01, Vol.49 (1), p.280-290

2019

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Contrast-enhanced ultrasound LI-RADS 2017: comparison with CT/MRI LI-RADS

European radiology, 2021-02, Vol.31 (2), p.847-854

2021

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A CT-based Radiomics Model for Prediction of Lymph Node Metastasis in Early Stage Gastric Cancer

Academic radiology, 2021-06, Vol.28 (6), p.e155-e164

2021

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Dedicated breast CT: state of the art—Part II. Clinical application and future outlook

European radiology, 2022-04, Vol.32 (4), p.2286-2300

2022

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Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework

European journal of nuclear medicine and molecular imaging, 2021-12, Vol.48 (13), p.4293-4306

2021

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Primary pericardial angiosarcoma: A case report

Journal of nuclear cardiology, 2022-10, Vol.29 (5), p.2734-2737

2022

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Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects

European radiology, 2022-03, Vol.32 (3), p.1579-1589

2022

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Iodine quantification to characterize primary lesions, metastatic and non-metastatic lymph nodes in lung cancers by dual energy computed tomography: An initial experience

European journal of radiology, 2016-06, Vol.85 (6), p.1219-1223

2016

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A radiomics-based model for prediction of lymph node metastasis in gastric cancer

European journal of radiology, 2020-08, Vol.129, p.109069-109069, Article 109069

2020

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Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations

European journal of radiology, 2016-11, Vol.85 (11), p.1934-1940

2016

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Interaction between childhood trauma experience and TPH2 rs7305115 gene polymorphism in brain gray matter volume

Behavioral and brain functions, 2023-12, Vol.19 (1), p.22-22, Article 22

2023

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Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma

Frontiers in genetics, 2024-04, Vol.15, p.1367434-1367434

2024

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Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR

Frontiers in oncology, 2021-11, Vol.11, p.758062-758062

2021

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Contrast-enhanced cone beam breast CT features of breast cancers: correlation with immunohistochemical receptors and molecular subtypes

European radiology, 2021-04, Vol.31 (4), p.2580-2589

2021

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Correction to: Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects

European radiology, 2022-04, Vol.32 (4), p.2855-2855

2022

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Correction to: Dedicated breast CT: state of the art—Part II. Clinical application and future outlook

European radiology, 2022-04, Vol.32 (4), p.2856-2859

2022

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Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study

Radiology, 2018-01, Vol.286 (1), p.298-306

2018

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Quantification of preexisting lung ground glass opacities on CT for predicting checkpoint inhibitor pneumonitis in advanced non-small cell lung cancer patients

BMC cancer, 2024-02, Vol.24 (1), p.269-269, Article 269

2024

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Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer

Scientific reports, 2017-06, Vol.7 (1), p.3519-11, Article 3519

2017

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CT and MR imaging characteristics of primary hepatic lymphoma

Discover. Oncology, 2024-09, Vol.15 (1), p.428-8, Article 428

2024

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Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia

Medicine (Baltimore), 2021-02, Vol.100 (8), p.e24955

2021

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Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study

BMC medical imaging, 2024-01, Vol.24 (1), p.12-12, Article 12

2024

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Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study

Radiologia medica, 2023-12, Vol.128 (12), p.1472-1482

2023

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Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation

Contrast-enhanced ultrasound LI-RADS 2017: comparison with CT/MRI LI-RADS

A CT-based Radiomics Model for Prediction of Lymph Node Metastasis in Early Stage Gastric Cancer

Dedicated breast CT: state of the art—Part II. Clinical application and future outlook

Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework

Primary pericardial angiosarcoma: A case report

Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects

Iodine quantification to characterize primary lesions, metastatic and non-metastatic lymph nodes in lung cancers by dual energy computed tomography: An initial experience

A radiomics-based model for prediction of lymph node metastasis in gastric cancer

Clinical and CT characteristics of surgically resected lung adenocarcinomas harboring ALK rearrangements or EGFR mutations

Interaction between childhood trauma experience and TPH2 rs7305115 gene polymorphism in brain gray matter volume

Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma

Prediction of Pancreatic Neuroendocrine Tumor Grading Risk Based on Quantitative Radiomic Analysis of MR

Contrast-enhanced cone beam breast CT features of breast cancers: correlation with immunohistochemical receptors and molecular subtypes

Correction to: Dedicated breast CT: state of the art—Part I. Historical evolution and technical aspects

Correction to: Dedicated breast CT: state of the art—Part II. Clinical application and future outlook

Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study

Quantification of preexisting lung ground glass opacities on CT for predicting checkpoint inhibitor pneumonitis in advanced non-small cell lung cancer patients

Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer

CT and MR imaging characteristics of primary hepatic lymphoma

Using arterial spin labeling blood flow and its histogram analysis to distinguish early-stage nasopharyngeal carcinoma from lymphoid hyperplasia

Assessing the effect of scanning parameter on the size and density of pulmonary nodules: a phantom study

Radiomics nomogram for predicting axillary lymph node metastasis—a potential method to address the limitation of axilla coverage in cone-beam breast CT: a bi-center retrospective study

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