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1
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography
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Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography

Scientific reports, 2020-11, Vol.10 (1), p.19196-19196, Article 19196 [Peer Reviewed Journal]

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. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-76282-0 ;PMID: 33154542

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2
Deep learning based tissue analysis predicts outcome in colorectal cancer
Deep learning based tissue analysis predicts outcome in colorectal cancer
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Deep learning based tissue analysis predicts outcome in colorectal cancer

Scientific reports, 2018-02, Vol.8 (1), p.3395-11, Article 3395 [Peer Reviewed Journal]

2018. 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. ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-21758-3 ;PMID: 29467373

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3
Association between antecedent statin use and decreased mortality in hospitalized patients with COVID-19
Association between antecedent statin use and decreased mortality in hospitalized patients with COVID-19
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Association between antecedent statin use and decreased mortality in hospitalized patients with COVID-19

Nature communications, 2021-02, Vol.12 (1), p.1325-1325, Article 1325 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-21553-1 ;PMID: 33637713

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4
Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models
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Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models

Nature communications, 2016-05, Vol.7 (1), p.11437-11437, Article 11437 [Peer Reviewed Journal]

Copyright Nature Publishing Group May 2016 ;Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2016 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/ncomms11437 ;PMID: 27164184

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5
Exploring the prognostic value of the neutrophil-to-lymphocyte ratio in cancer
Exploring the prognostic value of the neutrophil-to-lymphocyte ratio in cancer
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Exploring the prognostic value of the neutrophil-to-lymphocyte ratio in cancer

Scientific reports, 2019-12, Vol.9 (1), p.19673-10, Article 19673 [Peer Reviewed Journal]

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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-56218-z ;PMID: 31873162

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6
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure
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Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

Scientific reports, 2018-09, Vol.8 (1), p.13650-17, Article 13650 [Peer Reviewed Journal]

2018. 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-31911-7 ;PMID: 30209345

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7
Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors
Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors
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Pretreatment neutrophil-to-lymphocyte ratio and mutational burden as biomarkers of tumor response to immune checkpoint inhibitors

Nature communications, 2021-02, Vol.12 (1), p.729-729, Article 729 [Peer Reviewed Journal]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-20935-9 ;PMID: 33526794

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8
Suicide among cancer patients
Suicide among cancer patients
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Suicide among cancer patients

Nature communications, 2019-01, Vol.10 (1), p.207-207, Article 207 [Peer Reviewed Journal]

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. ;The Author(s) 2019 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-018-08170-1 ;PMID: 30643135

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9
Mental, cognitive and physical outcomes after intensive care unit treatment during the COVID-19 pandemic: a comparison between COVID-19 and non-COVID-19 patients
Mental, cognitive and physical outcomes after intensive care unit treatment during the COVID-19 pandemic: a comparison between COVID-19 and non-COVID-19 patients
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Mental, cognitive and physical outcomes after intensive care unit treatment during the COVID-19 pandemic: a comparison between COVID-19 and non-COVID-19 patients

info:eu-repo/semantics/OpenAccess ;ISSN: 2045-2322 ;EISSN: 2045-2322

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10
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams
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Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Nature communications, 2021-09, Vol.12 (1), p.5645-5645, Article 5645 [Peer Reviewed Journal]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-26023-2 ;PMID: 34561440

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11
Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics
Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics
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Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics

Nature communications, 2020-10, Vol.11 (1), p.4968-4968, Article 4968 [Peer Reviewed Journal]

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. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-18786-x ;PMID: 33009413

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12
Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy
Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy
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Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

Scientific reports, 2019-10, Vol.9 (1), p.14465-9, Article 14465 [Peer Reviewed Journal]

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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-50567-5 ;PMID: 31594962

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13
A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI
A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI
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A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI

Scientific reports, 2020-06, Vol.10 (1), p.10536-10536, Article 10536 [Peer Reviewed Journal]

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. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-67441-4 ;PMID: 32601367

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14
A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder
A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder
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A unified connectomic target for deep brain stimulation in obsessive-compulsive disorder

Nature communications, 2020-07, Vol.11 (1), p.3364-3364, Article 3364 [Peer Reviewed Journal]

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. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-16734-3 ;PMID: 32620886

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15
The association between anion gap and in-hospital mortality of post-cardiac arrest patients: a retrospective study
The association between anion gap and in-hospital mortality of post-cardiac arrest patients: a retrospective study
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The association between anion gap and in-hospital mortality of post-cardiac arrest patients: a retrospective study

Scientific reports, 2022-05, Vol.12 (1), p.7405-7405, Article 7405 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-11081-3 ;PMID: 35524151

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16
Population-wide analysis of differences in disease progression patterns in men and women
Population-wide analysis of differences in disease progression patterns in men and women
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Population-wide analysis of differences in disease progression patterns in men and women

Nature communications, 2019-02, Vol.10 (1), p.666-666, Article 666 [Peer Reviewed Journal]

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. ;The Author(s) 2019 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-019-08475-9 ;PMID: 30737381

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17
Deep learning-based survival prediction of oral cancer patients
Deep learning-based survival prediction of oral cancer patients
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Deep learning-based survival prediction of oral cancer patients

Scientific reports, 2019-05, Vol.9 (1), p.6994-6994, Article 6994 [Peer Reviewed Journal]

The Author(s) 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. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-43372-7 ;PMID: 31061433

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18
M1 Macrophage and M1/M2 ratio defined by transcriptomic signatures resemble only part of their conventional clinical characteristics in breast cancer
M1 Macrophage and M1/M2 ratio defined by transcriptomic signatures resemble only part of their conventional clinical characteristics in breast cancer
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M1 Macrophage and M1/M2 ratio defined by transcriptomic signatures resemble only part of their conventional clinical characteristics in breast cancer

Scientific reports, 2020-10, Vol.10 (1), p.16554-16554, Article 16554 [Peer Reviewed Journal]

The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-73624-w ;PMID: 33024179

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19
Annotation-efficient deep learning for automatic medical image segmentation
Annotation-efficient deep learning for automatic medical image segmentation
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Annotation-efficient deep learning for automatic medical image segmentation

Nature communications, 2021-10, Vol.12 (1), p.5915-5915, Article 5915 [Peer Reviewed Journal]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-26216-9 ;PMID: 34625565

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20
Development and validation of a nomogram for predicting Mycoplasma pneumoniae pneumonia in adults
Development and validation of a nomogram for predicting Mycoplasma pneumoniae pneumonia in adults
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Development and validation of a nomogram for predicting Mycoplasma pneumoniae pneumonia in adults

Scientific reports, 2022-12, Vol.12 (1), p.21859-8 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-022-26565-5 ;PMID: 36528731

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