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CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

European radiology, 2020-08, Vol.30 (8), p.4407-4416

2020

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Chest computed tomography in children with COVID-19 respiratory infection

Pediatric radiology, 2020-05, Vol.50 (6), p.796-799

2020

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CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

European radiology, 2020-08, Vol.30 (8), p.4407-4416

2020

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Rare earth silicate environmental barrier coatings: Present status and prospective

Ceramics international, 2017-06, Vol.43 (8), p.5847-5855

2017

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CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

Radiology, 2020-04, Vol.295 (1), p.202-207

2020

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Artificial intelligence-enabled rapid diagnosis of patients with COVID-19

Nature medicine, 2020-08, Vol.26 (8), p.1224-1228

2020

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The physiological functions and pharmaceutical applications of inulin: A review

Carbohydrate polymers, 2020-10, Vol.246, p.116589-116589, Article 116589

2020

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Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT

European radiology, 2022-02, Vol.32 (2), p.1065-1077

2022

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Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas

European radiology, 2020-12, Vol.30 (12), p.6497-6507

2020

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Preparation, characterization and photocatalytic properties of nanoplate Bi2MoO6 catalysts

Journal of materials science, 2008-11, Vol.43 (22), p.7026-7034

2008

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Lung Cancer Deaths in the National Lung Screening Trial Attributed to Nonsolid Nodules

Radiology, 2016-11, Vol.281 (2), p.589

2016

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Hydrothermal synthesis and photocatalytic properties of bismuth molybdate materials

Materials chemistry and physics, 2009-07, Vol.116 (1), p.134-142

2009

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Metagenomic analysis reveals gut plasmids as diagnosis markers for colorectal cancer

Frontiers in microbiology, 2023-05, Vol.14, p.1130446-1130446

2023

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Preparation and photocatalytic properties of CdS/La2Ti2O7 nanocomposites under visible light

Chemical engineering journal (Lausanne, Switzerland : 1996), 2011-03, Vol.168 (1), p.455-460

2011

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Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study

Translational oncology, 2024-04, Vol.42, p.101894-101894, Article 101894

2024

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Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures

Radiologia medica, 2024-02, Vol.129 (2), p.239-251

2024

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A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules

Cancer imaging, 2020-07, Vol.20 (1), p.45-45, Article 45

2020

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Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening

Quantitative imaging in medicine and surgery, 2019-02, Vol.9 (2), p.263-272

2019

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Facile fabrication of porous ZnO microspheres by thermal treatment of ZnS microspheres

Journal of hazardous materials, 2010-02, Vol.174 (1), p.573-580

2010

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Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning

Cancers, 2023-01, Vol.15 (3), p.892

2023

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A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma

iScience, 2024-01, Vol.27 (1), p.108712-108712, Article 108712

2024

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Size and Growth Assessment of Pulmonary Nodules: Consequences of the Rounding

Journal of thoracic oncology, 2017-04, Vol.12 (4), p.657-662

2017

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The pH effects on the formation of Ni/Al nitrate form layered double hydroxides (LDHs) by chemical precipitation and hydrothermal method

Materials chemistry and physics, 2010-05, Vol.121 (1), p.223-229

2010

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ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Annals of surgical oncology, 2023-12, Vol.30 (13), p.8282-8283

2023

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Hydrothermal preparation and photocatalytic properties of Y2Sn2O7 nanocrystals

Journal of molecular catalysis. A, Chemical, 2006-04, Vol.249 (1-2), p.65-70

2006

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CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

Chest computed tomography in children with COVID-19 respiratory infection

CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)

Rare earth silicate environmental barrier coatings: Present status and prospective

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

Artificial intelligence-enabled rapid diagnosis of patients with COVID-19

The physiological functions and pharmaceutical applications of inulin: A review

Improving the accuracy of prognosis for clinical stage I solid lung adenocarcinoma by radiomics models covering tumor per se and peritumoral changes on CT

Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas

Preparation, characterization and photocatalytic properties of nanoplate Bi2MoO6 catalysts

Lung Cancer Deaths in the National Lung Screening Trial Attributed to Nonsolid Nodules

Hydrothermal synthesis and photocatalytic properties of bismuth molybdate materials

Metagenomic analysis reveals gut plasmids as diagnosis markers for colorectal cancer

Preparation and photocatalytic properties of CdS/La2Ti2O7 nanocomposites under visible light

Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study

Computer-aided diagnosis of distal metastasis in non-small cell lung cancer by low-dose CT based radiomics and deep learning signatures

A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules

Quantitative radiomic model for predicting malignancy of small solid pulmonary nodules detected by low-dose CT screening

Facile fabrication of porous ZnO microspheres by thermal treatment of ZnS microspheres

Identifying Solitary Granulomatous Nodules from Solid Lung Adenocarcinoma: Exploring Robust Image Features with Cross-Domain Transfer Learning

A CT-based deep learning model: visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma

Size and Growth Assessment of Pulmonary Nodules: Consequences of the Rounding

The pH effects on the formation of Ni/Al nitrate form layered double hydroxides (LDHs) by chemical precipitation and hydrothermal method

ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

Hydrothermal preparation and photocatalytic properties of Y2Sn2O7 nanocrystals

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