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Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging

Abdominal radiology (New York), 2022-02, Vol.47 (2), p.496-507

2022

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Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction

Frontiers in oncology, 2022-02, Vol.11, p.725889

2022

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Cutoff Point of HbA1c for Diagnosis of Diabetes Mellitus in Chinese Individuals

PloS one, 2016-11, Vol.11 (11), p.e0166597

2016

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Performance of a machine learning-based decision model to help clinicians decide the extent of lymphadenectomy (D1 vs. D2) in gastric cancer before surgical resection

Abdominal radiology (New York), 2019-09, Vol.44 (9), p.3019-3029

2019

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Dual-energy CT quantitative parameters to evaluate occult peritoneal metastasis in advanced gastric cancer preoperatively

Abdominal radiology (New York), 2024-10, Vol.49 (10), p.3309-3318

2024

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SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables

Artificial intelligence in medicine, 2022-12, Vol.134, p.102424-102424, Article 102424

2022

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Preparation of Y-Doped ZnO Nanofibers and Sensing Mechanism of the Gas Sensors

Wuli huaxue xuebao, 2015-12, Vol.31 (12), p.2405-2412

2015

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An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer

Journal of the American College of Radiology, 2019-07, Vol.16 (7), p.952-960

2019

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Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists

American journal of roentgenology (1976), 2020-01, Vol.214 (1), p.W44-W54

2020

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Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer

Abdominal radiology (New York), 2024-08, Vol.49 (8), p.2574-2584

2024

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Low Back Pain in Resident Doctors with Standardized Training in China: A Cross-Sectional Study

Risk management and healthcare policy, 2023-11, Vol.16, p.2459-2468

2023

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Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

Clinical and translational gastroenterology, 2019-10, Vol.10 (10), p.e00079-e00079

2019

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Development and validation of a dual-energy CT-based model to estimate the malignant probability of distal gastric wall thickening

Journal of gastrointestinal oncology, 2022-04, Vol.13 (2), p.539-547

2022

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Comparison of Computed Tomography Features of Gastric and Small Bowel Gastrointestinal Stromal Tumors With Different Risk Grades

Journal of computer assisted tomography, 2022-03, Vol.46 (2), p.175-182

2022

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Utility of Combined Use of Imaging Features From Abdominopelvic CT and CA 125 to Identify Presence of CT Occult Peritoneal Metastases in Advanced Gastric Cancer

Journal of computer assisted tomography, 2024-09, Vol.48 (5), p.734-742

2024

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MRI versus Dual-Energy CT in Local-Regional Staging of Gastric Cancer

Radiology, 2024-07, Vol.312 (1), p.e232387

2024

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Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperatively

Clinical radiology, 2024-10

2024

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Rapid and quantitative detection of Shiga toxin1 and Shiga toxin2 based on multiple targets UPT‐LF assay

Engineering in life sciences, 2020-11, Vol.20 (11), p.494-503

2020

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Insulin improves cardiomyocyte contractile function through enhancement of SERCA2a activity in simulated ischemia/reperfusion

Acta pharmacologica Sinica, 2006-07, Vol.27 (7), p.919-926

2006

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Effects of low ambient temperatures and dietary vitamin C supplementation on pulmonary vascular remodeling and hypoxic gene expression of 21-d-old broilers

Journal of Integrative Agriculture, 2016-01, Vol.15 (1), p.183-190

2016

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Correction to: Relationship between CT characteristics and human epidermal growth factor receptor 2 expression in gastric cancers

Chinese journal of academic radiology, 2020-12, Vol.3 (4), p.186-186

2020

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Relationship between CT characteristics and human epidermal growth factor receptor 2 expression in gastric cancers

Chinese journal of academic radiology, 2020-09, Vol.3 (3), p.137-142

2020

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Evolution of the Complicated Innovation Networks with Multi-Agent

Applied Mechanics and Materials, 2014-02, Vol.513-517 (Applied Science, Materials Science and Information Technologies in Industry), p.841-844

Qiu, Feng Xia

2014

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Evolution of Innovation Cooperation Networks in the Marine Industry

Applied Mechanics and Materials, 2014-01, Vol.496-500 (Frontiers of Manufacturing and Design Science IV), p.2884-2887

Qiu, Feng Xia

2014

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Inhibition of smoothened decreases proliferation of Synoviocytes in rheumatoid arthritis

Cellular & molecular immunology, 2017-02, Vol.14 (2), p.214-222

2017

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Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging

Identifying Prognostic Markers From Clinical, Radiomics, and Deep Learning Imaging Features for Gastric Cancer Survival Prediction

Cutoff Point of HbA1c for Diagnosis of Diabetes Mellitus in Chinese Individuals

Performance of a machine learning-based decision model to help clinicians decide the extent of lymphadenectomy (D1 vs. D2) in gastric cancer before surgical resection

Dual-energy CT quantitative parameters to evaluate occult peritoneal metastasis in advanced gastric cancer preoperatively

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables

Preparation of Y-Doped ZnO Nanofibers and Sensing Mechanism of the Gas Sensors

An Intelligent Clinical Decision Support System for Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer

Radiologic-Radiomic Machine Learning Models for Differentiation of Benign and Malignant Solid Renal Masses: Comparison With Expert-Level Radiologists

Deep learning-accelerated T2WI: image quality, efficiency, and staging performance against BLADE T2WI for gastric cancer

Low Back Pain in Resident Doctors with Standardized Training in China: A Cross-Sectional Study

Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

Development and validation of a dual-energy CT-based model to estimate the malignant probability of distal gastric wall thickening

Comparison of Computed Tomography Features of Gastric and Small Bowel Gastrointestinal Stromal Tumors With Different Risk Grades

Utility of Combined Use of Imaging Features From Abdominopelvic CT and CA 125 to Identify Presence of CT Occult Peritoneal Metastases in Advanced Gastric Cancer

MRI versus Dual-Energy CT in Local-Regional Staging of Gastric Cancer

Machine learning-based CT radiomics approach for predicting occult peritoneal metastasis in advanced gastric cancer preoperatively

Rapid and quantitative detection of Shiga toxin1 and Shiga toxin2 based on multiple targets UPT‐LF assay

Insulin improves cardiomyocyte contractile function through enhancement of SERCA2a activity in simulated ischemia/reperfusion

Effects of low ambient temperatures and dietary vitamin C supplementation on pulmonary vascular remodeling and hypoxic gene expression of 21-d-old broilers

Correction to: Relationship between CT characteristics and human epidermal growth factor receptor 2 expression in gastric cancers

Relationship between CT characteristics and human epidermal growth factor receptor 2 expression in gastric cancers

Evolution of the Complicated Innovation Networks with Multi-Agent

Evolution of Innovation Cooperation Networks in the Marine Industry

Inhibition of smoothened decreases proliferation of Synoviocytes in rheumatoid arthritis

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