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  1. Article: Selection of new COVID-19 genotypes following mass vaccination: The Rotavirus model.

    Lapolla, Pierfrancesco / Familiari, Pietro / Bruzzaniti, Placido

    Vacunas

    2022  Volume 23, Issue 2, Page(s) 144–146

    Language English
    Publishing date 2022-01-06
    Publishing country Spain
    Document type Journal Article ; Review
    ISSN 1576-9887
    ISSN 1576-9887
    DOI 10.1016/j.vacun.2021.10.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: COVID-19 changes medical education in Italy: will other countries follow?

    Lapolla, Pierfrancesco / Mingoli, Andrea

    Postgraduate medical journal

    2020  Volume 96, Issue 1137, Page(s) 375–376

    MeSH term(s) Betacoronavirus ; COVID-19 ; Clinical Competence ; Coronavirus Infections/epidemiology ; Education, Medical ; Health Workforce ; Humans ; Italy/epidemiology ; Licensure, Medical/legislation & jurisprudence ; Pandemics ; Pneumonia, Viral/epidemiology ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-05-13
    Publishing country England
    Document type Editorial
    ZDB-ID 80325-x
    ISSN 1469-0756 ; 0032-5473
    ISSN (online) 1469-0756
    ISSN 0032-5473
    DOI 10.1136/postgradmedj-2020-137876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.340: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  3. Article: Privacy versus safety in contact-tracing apps for coronavirus disease 2019.

    Lapolla, Pierfrancesco / Lee, Regent

    Digital health

    2020  Volume 6, Page(s) 2055207620941673

    Keywords covid19
    Language English
    Publishing date 2020-07-14
    Publishing country United States
    Document type Editorial
    ZDB-ID 2819396-9
    ISSN 2055-2076 ; 2055-2076
    ISSN (online) 2055-2076
    ISSN 2055-2076
    DOI 10.1177/2055207620941673
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.

    Chandrashekar, Anirudh / Handa, Ashok / Lapolla, Pierfrancesco / Shivakumar, Natesh / Uberoi, Raman / Grau, Vicente / Lee, Regent

    Annals of surgery

    2023  Volume 277, Issue 2, Page(s) e449–e459

    Abstract: Background: Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is ... ...

    Abstract Background: Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is associated with renal complications.
    Objectives: In this study, we investigate if the raw data acquired from a noncontrast CT image contains sufficient information to differentiate blood and other soft tissue components. A deep learning pipeline underpinned by generative adversarial networks was developed to simulate contrast enhanced CTA images using noncontrast CTs.
    Methods and results: Two generative models (cycle- and conditional) are trained with paired noncontrast and contrast enhanced CTs from seventy-five patients (total of 11,243 pairs of images) with abdominal aortic aneurysms in a 3-fold cross-validation approach with a training/testing split of 50:25 patients. Subsequently, models were evaluated on an independent validation cohort of 200 patients (total of 29,468 pairs of images). Both deep learning generative models are able to perform this image transformation task with the Cycle-generative adversarial network (GAN) model outperforming the Conditional-GAN model as measured by aneurysm lumen segmentation accuracy (Cycle-GAN: 86.1% ± 12.2% vs Con-GAN: 85.7% ± 10.4%) and thrombus spatial morphology classification accuracy (Cycle-GAN: 93.5% vs Con-GAN: 85.7%).
    Conclusion: This pipeline implements deep learning methods to generate CTAs from noncontrast images, without the need of contrast injection, that bear strong concordance to the ground truth and enable the assessment ofimportant clinical metrics. Our pipeline is poised to disrupt clinical pathways requiring intravenous contrast.
    MeSH term(s) Humans ; Contrast Media ; Deep Learning ; Aortic Aneurysm ; Aortic Aneurysm, Abdominal/diagnostic imaging ; Administration, Intravenous
    Chemical Substances Contrast Media
    Language English
    Publishing date 2023-01-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 340-2
    ISSN 1528-1140 ; 0003-4932
    ISSN (online) 1528-1140
    ISSN 0003-4932
    DOI 10.1097/SLA.0000000000004835
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.35/1: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Deaths from COVID-19 in healthcare workers in Italy-What can we learn?

    Lapolla, Pierfrancesco / Mingoli, Andrea / Lee, Regent

    Infection control and hospital epidemiology

    2020  Volume 42, Issue 3, Page(s) 364–365

    MeSH term(s) Adult ; Aged ; COVID-19/mortality ; Female ; Health Personnel/statistics & numerical data ; Humans ; Italy/epidemiology ; Male ; Medicine/classification ; Middle Aged
    Keywords covid19
    Language English
    Publishing date 2020-05-15
    Publishing country United States
    Document type Letter
    ZDB-ID 639378-0
    ISSN 1559-6834 ; 0195-9417 ; 0899-823X
    ISSN (online) 1559-6834
    ISSN 0195-9417 ; 0899-823X
    DOI 10.1017/ice.2020.241
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1714: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Wastewater as a red flag in COVID-19 spread.

    Lapolla, Pierfrancesco / Lee, Regent / Mingoli, Andrea

    Public health

    2020  Volume 185, Page(s) 26

    Keywords covid19
    Language English
    Publishing date 2020-05-30
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 427333-3
    ISSN 1476-5616 ; 0033-3506
    ISSN (online) 1476-5616
    ISSN 0033-3506
    DOI 10.1016/j.puhe.2020.05.045
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 540: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)
    Ab 150: Show issues

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  9. Book ; Online: COVID-19 changes medical education in Italy

    Lapolla, Pierfrancesco / Mingoli, Andrea

    will other countries follow?

    2020  

    Keywords Editorials ; covid19
    Language English
    Publishing date 2020-07-01 00:00:00.0
    Publisher BMJ Publishing Group Ltd
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: COVID-19 changes medical education in Italy. Will other countries follow?

    Lapolla, Pierfrancesco / Mingoli, Andrea

    2020  

    Keywords COVID-19 ; covid19
    Language English
    Publisher B M J Group
    Publishing country it
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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