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1
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis
Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis
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Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis

European radiology, 2020-12, Vol.30 (12), p.6808-6817 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-07033-y ;PMID: 32623505

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2
CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)
CT image visual quantitative evaluation and clinical classification of coronavirus disease (COVID-19)
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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 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06817-6 ;PMID: 32215691

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3
Incidence of newly diagnosed diabetes after Covid-19
Incidence of newly diagnosed diabetes after Covid-19
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Incidence of newly diagnosed diabetes after Covid-19

Diabetologia, 2022-06, Vol.65 (6), p.949-954 [Peer Reviewed Journal]

The Author(s) 2022 ;2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0012-186X ;EISSN: 1432-0428 ;DOI: 10.1007/s00125-022-05670-0 ;PMID: 35292829

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4
Risk Factors for Mortality in Patients with COVID-19 in New York City
Risk Factors for Mortality in Patients with COVID-19 in New York City
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Risk Factors for Mortality in Patients with COVID-19 in New York City

Journal of general internal medicine : JGIM, 2021-01, Vol.36 (1), p.17-26 [Peer Reviewed Journal]

Society of General Internal Medicine 2020 ;Society of General Internal Medicine 2020. ;ISSN: 0884-8734 ;EISSN: 1525-1497 ;DOI: 10.1007/s11606-020-05983-z ;PMID: 32607928

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5
Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study
Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study
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Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study

Diabetologia, 2020-10, Vol.63 (10), p.2102-2111 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;Springer-Verlag GmbH Germany, part of Springer Nature 2020. ;ISSN: 0012-186X ;EISSN: 1432-0428 ;DOI: 10.1007/s00125-020-05209-1 ;PMID: 32647915

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6
Coronavirus disease 2019: initial chest CT findings
Coronavirus disease 2019: initial chest CT findings
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Coronavirus disease 2019: initial chest CT findings

European radiology, 2020-08, Vol.30 (8), p.4398-4406 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06816-7 ;PMID: 32211963

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7
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores
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Haralick texture analysis of prostate MRI: utility for differentiating non-cancerous prostate from prostate cancer and differentiating prostate cancers with different Gleason scores

European radiology, 2015-10, Vol.25 (10), p.2840-2850 [Peer Reviewed Journal]

European Society of Radiology 2015 ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-015-3701-8 ;PMID: 25991476

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8
Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China
Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China
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Clinical characteristics of 145 patients with corona virus disease 2019 (COVID-19) in Taizhou, Zhejiang, China

Infection, 2020-08, Vol.48 (4), p.543-551 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0300-8126 ;EISSN: 1439-0973 ;DOI: 10.1007/s15010-020-01432-5 ;PMID: 32342479

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9
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT
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Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT

European radiology, 2019-11, Vol.29 (11), p.6163-6171 [Peer Reviewed Journal]

European Society of Radiology 2019. corrected publication 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06170-3 ;PMID: 30976831

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10
COVID-19 in people living with human immunodeficiency virus: a case series of 33 patients
COVID-19 in people living with human immunodeficiency virus: a case series of 33 patients
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COVID-19 in people living with human immunodeficiency virus: a case series of 33 patients

Infection, 2020-10, Vol.48 (5), p.681-686 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2020 ;ISSN: 0300-8126 ;EISSN: 1439-0973 ;DOI: 10.1007/s15010-020-01438-z ;PMID: 32394344

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11
Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network
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Precise diagnosis of intracranial hemorrhage and subtypes using a three-dimensional joint convolutional and recurrent neural network

European radiology, 2019-11, Vol.29 (11), p.6191-6201 [Peer Reviewed Journal]

The Author(s) 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. © 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06163-2 ;PMID: 31041565

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12
Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT
Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT
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Preoperative radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using contrast-enhanced CT

European radiology, 2019-07, Vol.29 (7), p.3595-3605 [Peer Reviewed Journal]

European Society of Radiology 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-018-5985-y ;PMID: 30770969

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13
CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city
CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city
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CT features of SARS-CoV-2 pneumonia according to clinical presentation: a retrospective analysis of 120 consecutive patients from Wuhan city

European radiology, 2020-08, Vol.30 (8), p.4417-4426 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06854-1 ;PMID: 32279115

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14
Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses
Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses
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Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses

European radiology, 2021-02, Vol.31 (2), p.674-684 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-07143-7 ;PMID: 32809166

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15
Impact of immune-related adverse events on survival in patients with advanced non-small cell lung cancer treated with nivolumab: long-term outcomes from a multi-institutional analysis
Impact of immune-related adverse events on survival in patients with advanced non-small cell lung cancer treated with nivolumab: long-term outcomes from a multi-institutional analysis
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Impact of immune-related adverse events on survival in patients with advanced non-small cell lung cancer treated with nivolumab: long-term outcomes from a multi-institutional analysis

Journal of cancer research and clinical oncology, 2019-02, Vol.145 (2), p.479-485 [Peer Reviewed Journal]

Springer-Verlag GmbH Germany, part of Springer Nature 2018 ;Journal of Cancer Research and Clinical Oncology is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0171-5216 ;EISSN: 1432-1335 ;DOI: 10.1007/s00432-018-2805-3 ;PMID: 30506406

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16
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer
Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer
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Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer

European radiology, 2019-07, Vol.29 (7), p.3820-3829 [Peer Reviewed Journal]

European Society of Radiology 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-018-5981-2 ;PMID: 30701328

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17
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
Utilization of machine-learning models to accurately predict the risk for critical COVID-19
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Utilization of machine-learning models to accurately predict the risk for critical COVID-19

Internal and emergency medicine, 2020-11, Vol.15 (8), p.1435-1443 [Peer Reviewed Journal]

Società Italiana di Medicina Interna (SIMI) 2020 ;Società Italiana di Medicina Interna (SIMI) 2020. ;ISSN: 1828-0447 ;EISSN: 1970-9366 ;DOI: 10.1007/s11739-020-02475-0 ;PMID: 32812204

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18
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?
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Can CT-based radiomics signature predict KRAS/NRAS/BRAF mutations in colorectal cancer?

European radiology, 2018-05, Vol.28 (5), p.2058-2067 [Peer Reviewed Journal]

European Society of Radiology 2018 ;European Radiology is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-017-5146-8 ;PMID: 29335867

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19
A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study
A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study
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A diagnostic model for coronavirus disease 2019 (COVID-19) based on radiological semantic and clinical features: a multi-center study

European radiology, 2020-09, Vol.30 (9), p.4893-4902 [Peer Reviewed Journal]

The Author(s) 2020 ;The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06829-2 ;PMID: 32300971

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20
Deep learning–based image restoration algorithm for coronary CT angiography
Deep learning–based image restoration algorithm for coronary CT angiography
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Deep learning–based image restoration algorithm for coronary CT angiography

European radiology, 2019-10, Vol.29 (10), p.5322-5329 [Peer Reviewed Journal]

European Society of Radiology 2019 ;European Radiology is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06183-y ;PMID: 30963270

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