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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Nature communications, 2020-03, Vol.11 (1), p.1236-1236, Article 1236

2020

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A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology

Nature communications, 2022-05, Vol.13 (1), p.2790-2790, Article 2790

2022

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Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Nature communications, 2021-07, Vol.12 (1), p.4370-4370, Article 4370

2021

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Immunosuppressive Tumor Microenvironment and Immunotherapy of Epstein-Barr Virus-Associated Malignancies

Viruses, 2022-05, Vol.14 (5), p.1017

2022

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A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma

Nature communications, 2024-05, Vol.15 (1), p.3768-15, Article 3768

2024

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Elaboration and Validation of a Nomogram Based on Axillary Ultrasound and Tumor Clinicopathological Features to Predict Axillary Lymph Node Metastasis in Patients With Breast Cancer

Frontiers in oncology, 2022-05, Vol.12, p.845334-845334

2022

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C-Reactive Protein Levels Predict Responses to PD-1 Inhibitors in Hepatocellular Carcinoma Patients

Frontiers in immunology, 2022-02, Vol.13, p.808101-808101

2022

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Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer

Korean Journal of Radiology, 2020, 21(2), , pp.172-180

2020

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Growth and characterization of β-Ga2O3 thin films grown on off-angled Al2O3 substrates by metal-organic chemical vapor deposition

Journal of semiconductors, 2022-09, Vol.43 (9), p.67-72

2022

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Early differentiating between the chemotherapy responders and nonresponders: preliminary results with ultrasonic spectrum analysis of the RF time series in preclinical breast cancer models

Cancer imaging, 2019-08, Vol.19 (1), p.61-61, Article 61

2019

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Monetary theory and policy from a Chinese historical perspective

China economic review, 2013-09, Vol.26, p.89-104

2013

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Quantitative analysis of microplastics and nanoplastics released from disposable PVC infusion tubes

Journal of hazardous materials, 2024-03, Vol.465, p.133246, Article 133246

2024

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An interpretable deep learning model for identifying the morphological characteristics of dMMR/MSI-H gastric cancer

iScience, 2024-03, Vol.27 (3), p.109243-109243, Article 109243

2024

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Quantification analysis of microplastics released from disposable polystyrene tableware with fluorescent polymer staining

The Science of the total environment, 2023-03, Vol.864, p.161155-161155, Article 161155

2023

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Distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma in patients with and without risks: the evaluation of the LR-M criteria of contrast-enhanced ultrasound liver imaging reporting and data system version 2017

European radiology, 2020, Vol.30 (1), p.461-470

2020

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Metalorganic vapor-phase epitaxy of β-(AlxGa1-x)2O3 on (2¯ 0 1) Ga2O3 substrates

Journal of crystal growth, 2023-02, Vol.603, p.127014, Article 127014

2023

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Enhanced long-term stability of stained microplastics with carbon nitride fluorescent polymer for tracking

Environmental technology & innovation, 2024-05, Vol.34, p.103593, Article 103593

2024

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Combination of different types of elastography in downgrading ultrasound Breast Imaging-Reporting and Data System category 4a breast lesions

Breast cancer research and treatment, 2019-04, Vol.174 (2), p.423-432

2019

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The diagnostic performance of ultrasound and mammography in evaluating screening ultrasound detected breast lesions after adding elastography to ultrasound

Ultrasound in medicine & biology, 2019, Vol.45, p.S22-S22

2019

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Graphitic carbon nitride with Cu and triazole group co-doping for enhanced peroxidase-like activity and its application for glutathione detection

Sensors & diagnostics, 2023-07, Vol.2 (4), p.92-98

2023

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Graphitic carbon nitride with Cu 2+ and triazole group co-doping for enhanced peroxidase-like activity and its application for glutathione detection

Sensors & diagnostics, 2023-07, Vol.2 (4), p.902-908

2023

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Demonstration of TARC and CCR4 mRNA Expression and Distribution Using In situ RT‐PCR in the Lesional Skin of Atopic Dermatitis

Journal of dermatology, 2003-01, Vol.30 (1), p.26-32

2003

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Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer

British journal of radiology, 2021-11, Vol.94 (1127), p.20210682-20210682

2021

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Growth and characterization of β-Ga 2 O 3 thin films grown on off-angled Al 2 O 3 substrates by metal-organic chemical vapor deposition

Journal of semiconductors, 2022-09, Vol.43 (9), p.92801

2022

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Detection of herpes virus genomes in skin lesions from patients with Behçet's disease and other related inflammatory diseases

Acta dermato-venereologica, 2003, Vol.83 (2), p.124-127

2003

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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology

Author Correction: Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Immunosuppressive Tumor Microenvironment and Immunotherapy of Epstein-Barr Virus-Associated Malignancies

A multicenter proof-of-concept study on deep learning-based intraoperative discrimination of primary central nervous system lymphoma

Elaboration and Validation of a Nomogram Based on Axillary Ultrasound and Tumor Clinicopathological Features to Predict Axillary Lymph Node Metastasis in Patients With Breast Cancer

C-Reactive Protein Levels Predict Responses to PD-1 Inhibitors in Hepatocellular Carcinoma Patients

Shear-Wave Elastography of the Breast: Added Value of a Quality Map in Diagnosis and Prediction of the Biological Characteristics of Breast Cancer

Growth and characterization of β-Ga2O3 thin films grown on off-angled Al2O3 substrates by metal-organic chemical vapor deposition

Early differentiating between the chemotherapy responders and nonresponders: preliminary results with ultrasonic spectrum analysis of the RF time series in preclinical breast cancer models

Monetary theory and policy from a Chinese historical perspective

Quantitative analysis of microplastics and nanoplastics released from disposable PVC infusion tubes

An interpretable deep learning model for identifying the morphological characteristics of dMMR/MSI-H gastric cancer

Quantification analysis of microplastics released from disposable polystyrene tableware with fluorescent polymer staining

Distinguishing intrahepatic cholangiocarcinoma from hepatocellular carcinoma in patients with and without risks: the evaluation of the LR-M criteria of contrast-enhanced ultrasound liver imaging reporting and data system version 2017

Metalorganic vapor-phase epitaxy of β-(AlxGa1-x)2O3 on (2¯ 0 1) Ga2O3 substrates

Enhanced long-term stability of stained microplastics with carbon nitride fluorescent polymer for tracking

Combination of different types of elastography in downgrading ultrasound Breast Imaging-Reporting and Data System category 4a breast lesions

The diagnostic performance of ultrasound and mammography in evaluating screening ultrasound detected breast lesions after adding elastography to ultrasound

Graphitic carbon nitride with Cu and triazole group co-doping for enhanced peroxidase-like activity and its application for glutathione detection

Graphitic carbon nitride with Cu 2+ and triazole group co-doping for enhanced peroxidase-like activity and its application for glutathione detection

Demonstration of TARC and CCR4 mRNA Expression and Distribution Using In situ RT‐PCR in the Lesional Skin of Atopic Dermatitis

Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer

Growth and characterization of β-Ga 2 O 3 thin films grown on off-angled Al 2 O 3 substrates by metal-organic chemical vapor deposition

Detection of herpes virus genomes in skin lesions from patients with Behçet's disease and other related inflammatory diseases

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