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Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Clinical cancer research, 2017-08, Vol.23 (15), p.4259-4269

2017

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Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma

Cancer letters, 2017-09, Vol.403, p.21-27

2017

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Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation

European radiology, 2020-02, Vol.30 (2), p.833-843

2020

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Feature Extraction and Clustering of Feed Oil from a S Zorb Unit Based on AE and PCA Algorithms

Petroleum chemistry, 2024, Vol.64 (3), p.385-395

2024

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An Industrial Data-Based Model to Reduce Octane Number Loss of Refined Gasoline for S Zorb Process

Petroleum chemistry, 2023-03, Vol.63 (3), p.299-309

2023

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A Lumped Kinetic Model of M-DSO Process for Fluid Catalytic Cracking Gasoline Hydro-Upgrading

Petroleum chemistry, 2021-04, Vol.61 (4), p.465-471

2021

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Nomogram development and validation to predict Ki-67 expression of hepatocellular carcinoma derived from Gd-EOB-DTPA-enhanced MRI combined with T1 mapping

Frontiers in oncology, 2022-10, Vol.12, p.954445-954445

2022

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Image quality and evaluation ability of magnetic resonance imaging techniques for thyroid-associated ophthalmopathy: Dixon fat-suppression technique vs. spectral attenuated inversion recovery

Frontiers in medicine, 2023-07, Vol.10, p.1154828-1154828

2023

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A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma

Frontiers in oncology, 2020-12, Vol.10, p.522181

2020

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A lumped kinetic model for heavy oil catalytic cracking FDFCC process

Petroleum science and technology, 2016-02, Vol.34 (4), p.335-342

2016

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Probabilistic Entity-Relationship Diagram: A correlation between functional connectivity and spontaneous brain activity during resting state in major depressive disorder

PloS one, 2017-06, Vol.12 (6), p.e0178386-e0178386

2017

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Predictive Value of Non-high-Density Lipoprotein Cholesterol and Neutrophil-Lymphocyte Ratio for Coronary Artery Vulnerable Plaques in Type 2 Diabetes Mellitus

Frontiers in cardiovascular medicine, 2022-06, Vol.9, p.927768-927768

2022

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Development and validation of a clinical predictive model for 1-year prognosis in coronary heart disease patients combine with acute heart failure

Frontiers in cardiovascular medicine, 2022-10, Vol.9, p.976844-976844

2022

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Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics

Oncotarget, 2017-09, Vol.8 (42), p.72457-72465

2017

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The added value of apparent diffusion coefficient and microcalcifications to the Kaiser score in the evaluation of BI-RADS 4 lesions

European journal of radiology, 2023-08, Vol.165, p.110920-110920, Article 110920

2023

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Prediction of the product yield from catalytic cracking (MIP) process by an 8-lump kinetic model combined with neural network

Petroleum science and technology, 2018-07, Vol.36 (13), p.930-936

2018

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Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study

EBioMedicine, 2019-02, Vol.40, p.327-335

2019

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Effect of Operating Conditions on Olefin Distribution in FCC Gasoline as Part of an Olefin Reduction Process

China petroleum processing & petrochemical technology, 2010-12, Vol.12 (4), p.34-42

Ouyang Fusheng Pei Xu Zhao Xuhong Liu Xuan Weng Huixin

2010

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Application of noninvasive functional imaging to monitor the progressive changes in kidney diffusion and perfusion in contrast-induced acute kidney injury rats at 3.0 T

Abdominal radiology (New York), 2018-03, Vol.43 (3), p.655-662

2018

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Optimizing product distribution in the heavy oil catalytic cracking (MIP) process

Petroleum science and technology, 2017-07, Vol.35 (13), p.1315-1320

2017

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A 12-lump kinetic model for heavy oil fluid catalytic cracking for cleaning gasoline and enhancing light olefins yield

Petroleum science and technology, 2020-10, Vol.38 (19), p.912-921

2020

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Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging

Journal of magnetic resonance imaging, 2021-07, Vol.54 (1), p.91-100

2021

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Noninvasive prediction of perineural invasion in intrahepatic cholangiocarcinoma by clinicoradiological features and computed tomography radiomics based on interpretable machine learning: a multicenter cohort study

International journal of surgery (London, England), 2024-02, Vol.110 (2), p.1039-1051

2024

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Molecular-Based Simulation of Feedstock Properties for Complex Reaction System

中国炼油与石油化工（英文版）, 2010-03, Vol.12 (1), p.54-60

2010

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Enhanced prediction of preoperative mesenteric lymph node metastasis in colorectal cancer using machine learning with CT‐based data

MedComm - Future medicine, 2024-12, Vol.3 (4)

2024

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Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma

Prognostic value of the radiomics-based model in progression-free survival of hypopharyngeal cancer treated with chemoradiation

Feature Extraction and Clustering of Feed Oil from a S Zorb Unit Based on AE and PCA Algorithms

An Industrial Data-Based Model to Reduce Octane Number Loss of Refined Gasoline for S Zorb Process

A Lumped Kinetic Model of M-DSO Process for Fluid Catalytic Cracking Gasoline Hydro-Upgrading

Nomogram development and validation to predict Ki-67 expression of hepatocellular carcinoma derived from Gd-EOB-DTPA-enhanced MRI combined with T1 mapping

Image quality and evaluation ability of magnetic resonance imaging techniques for thyroid-associated ophthalmopathy: Dixon fat-suppression technique vs. spectral attenuated inversion recovery

A Nomogram for Pretreatment Prediction of Response to Induction Chemotherapy in Locally Advanced Hypopharyngeal Carcinoma

A lumped kinetic model for heavy oil catalytic cracking FDFCC process

Probabilistic Entity-Relationship Diagram: A correlation between functional connectivity and spontaneous brain activity during resting state in major depressive disorder

Predictive Value of Non-high-Density Lipoprotein Cholesterol and Neutrophil-Lymphocyte Ratio for Coronary Artery Vulnerable Plaques in Type 2 Diabetes Mellitus

Development and validation of a clinical predictive model for 1-year prognosis in coronary heart disease patients combine with acute heart failure

Advanced nasopharyngeal carcinoma: pre-treatment prediction of progression based on multi-parametric MRI radiomics

The added value of apparent diffusion coefficient and microcalcifications to the Kaiser score in the evaluation of BI-RADS 4 lesions

Prediction of the product yield from catalytic cracking (MIP) process by an 8-lump kinetic model combined with neural network

Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study

Effect of Operating Conditions on Olefin Distribution in FCC Gasoline as Part of an Olefin Reduction Process

Application of noninvasive functional imaging to monitor the progressive changes in kidney diffusion and perfusion in contrast-induced acute kidney injury rats at 3.0 T

Optimizing product distribution in the heavy oil catalytic cracking (MIP) process

A 12-lump kinetic model for heavy oil fluid catalytic cracking for cleaning gasoline and enhancing light olefins yield

Intravoxel Incoherent Motion Magnetic Resonance Imaging for Prediction of Induction Chemotherapy Response in Locally Advanced Hypopharyngeal Carcinoma: Comparison With Model‐Free Dynamic Contrast‐Enhanced Magnetic Resonance Imaging

Noninvasive prediction of perineural invasion in intrahepatic cholangiocarcinoma by clinicoradiological features and computed tomography radiomics based on interpretable machine learning: a multicenter cohort study

Molecular-Based Simulation of Feedstock Properties for Complex Reaction System

Enhanced prediction of preoperative mesenteric lymph node metastasis in colorectal cancer using machine learning with CT‐based data

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