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21
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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22
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma
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Machine learning-based quantitative texture analysis of CT images of small renal masses: Differentiation of angiomyolipoma without visible fat from renal cell carcinoma

European radiology, 2018-04, Vol.28 (4), p.1625-1633 [Peer Reviewed Journal]

European Society of Radiology 2017 ;European Radiology is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-017-5118-z ;PMID: 29134348

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23
Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer
Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer
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Dual-energy CT–based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer

European radiology, 2020-04, Vol.30 (4), p.2324-2333 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Radiology is a copyright of Springer, (2020). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06621-x ;PMID: 31953668

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24
Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation
Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation
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Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation

European radiology, 2020-12, Vol.30 (12), p.6770-6778 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-07013-2 ;PMID: 32591888

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25
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans
From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans
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From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

European radiology, 2020-12, Vol.30 (12), p.6828-6837 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-07042-x ;PMID: 32683550

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26
Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?
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Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?

European radiology, 2019-11, Vol.29 (11), p.6049-6058 [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/s00330-019-06084-0 ;PMID: 30887209

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27
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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28
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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29
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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30
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions
Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions
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Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

European radiology, 2021-12, Vol.31 (12), p.9511-9519 [Peer Reviewed Journal]

The Author(s) 2021 ;2021. The Author(s). ;The Author(s) 2021. 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/s00330-021-08009-2 ;PMID: 34018057

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31
Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma
Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma
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Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma

European radiology, 2019-06, Vol.29 (6), p.2890-2901 [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/s00330-018-5797-0 ;PMID: 30421015

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32
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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33
Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China
Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China
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Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China

European radiology, 2020-10, Vol.30 (10), p.5446-5454 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Society of Radiology 2020. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06879-6 ;PMID: 32367418

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34
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound
Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound
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Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

European radiology, 2020-04, Vol.30 (4), p.2365-2376 [Peer Reviewed Journal]

European Society of Radiology 2020 ;European Radiology is a copyright of Springer, (2020). All Rights Reserved. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06553-6 ;PMID: 31900703

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35
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
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Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis

European radiology, 2021-03, Vol.31 (3), p.1460-1470 [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/s00330-020-07174-0 ;PMID: 32909055

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36
A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma
A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma
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A radiomics approach to predict lymph node metastasis and clinical outcome of intrahepatic cholangiocarcinoma

European radiology, 2019-07, Vol.29 (7), p.3725-3735 [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/s00330-019-06142-7 ;PMID: 30915561

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37
Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer
Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer
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Markers of sarcopenia quantified by computed tomography predict adverse long-term outcome in patients with resected oesophageal or gastro-oesophageal junction cancer

European radiology, 2016-05, Vol.26 (5), p.1359-1367 [Peer Reviewed Journal]

European Society of Radiology 2015 ;European Society of Radiology 2016 ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-015-3963-1 ;PMID: 26334504

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38
Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms
Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms
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Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms

European radiology, 2020-11, Vol.30 (11), p.6161-6169 [Peer Reviewed Journal]

European Society of Radiology 2020 ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-020-06967-7 ;PMID: 32474630

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39
Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department
Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department
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Chest X-ray for predicting mortality and the need for ventilatory support in COVID-19 patients presenting to the emergency department

European radiology, 2021-04, Vol.31 (4), p.1999-2012 [Peer Reviewed Journal]

The Author(s) 2020 ;COPYRIGHT 2021 Springer ;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/s00330-020-07270-1 ;PMID: 33033861

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40
Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature
Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature
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Predicting the grade of hepatocellular carcinoma based on non-contrast-enhanced MRI radiomics signature

European radiology, 2019-06, Vol.29 (6), p.2802-2811 [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/s00330-018-5787-2 ;PMID: 30406313

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