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Francesca Crovetto

University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)

SCHOLARLY PAPERS

3

DOWNLOADS

298

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Similarity Network Fusion to Identify Phenotypes of Small for Gestational Age Fetuses

Number of pages: 48 Posted: 01 Feb 2023
University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - Centre for Biomedical Research on Respiratory Diseases (CIBERES), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Universidad del Sinú, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Rovira i Virgili University - Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), University of Malaga - BIONAND, Biosfer Teslab, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona, University of Barcelona - Department of Maternal-Fetal Medicine, Universidade do Porto, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu) and University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)
Downloads 155 (480,208)

Abstract:

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Biomarkers, fetal growth, machine learning, multi-omics, phenotypes pregnancy, small-for-gestational age.

2.

Deep Cascaded Registration and Weakly-Supervised Segmentation of Fetal Brain MRI

Number of pages: 35 Posted: 20 Mar 2024
Universitat Pompeu Fabra (UPF), Universitat Pompeu Fabra (UPF), Universitat Pompeu Fabra (UPF), Universitat Pompeu Fabra (UPF), University of Barcelona, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Universitat Pompeu Fabra (UPF), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Universitat Pompeu Fabra (UPF), Universitat Pompeu Fabra (UPF) and Universitat Pompeu Fabra (UPF)
Downloads 85 (771,553)

Abstract:

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Registration, Segmentation, Cascade, Deep Learning, Fetal Brain

3.

Nasopharyngeal Microbiota Profiling of Pregnant Women with SARS-CoV-2 Infection

Number of pages: 25 Posted: 20 Dec 2021
University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), affiliation not provided to SSRN, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), affiliation not provided to SSRN, Hospital Sant Joan de Deu, affiliation not provided to SSRN, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), affiliation not provided to SSRN, affiliation not provided to SSRN, Sant Joan de Déu Research Institute, Hospital Sant Joan de Déu - BCNatal, Fetal Medicine Research Center, affiliation not provided to SSRN, Institute of Agrochemistry and Food Technology-National Research Council (IATA-CSIC) - Department of Biotechnology and University of Barcelona - Hospital Clinic, BCNatal Maternal-Fetal Medicine Service
Downloads 58 (980,173)

Abstract:

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SARS-CoV-2, COVID-19, nasopharyngeal microbiota, pregnancy.