Detection of emerging infectious lung diseases

Grant number: P 35189

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Key facts

  • Disease

    COVID-19
  • start year

    -99
  • Known Financial Commitments (USD)

    $466,636.83
  • Funder

    FWF
  • Principal Investigator

    N/A

  • Research Location

    Austria
  • Lead Research Institution

    Universitätsklinik für Radiologie und Nuklearmedizin, Medizinische Universität Wien
  • Research Priority Alignment

    N/A
  • Research Category

    Pathogen: natural history, transmission and diagnostics

  • Research Subcategory

    Diagnostics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Publicationslinked via Europe PMC

Last Updated:an hour ago

View all publications at Europe PMC

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results.

Artificial intelligence in respiratory pandemics-ready for disease X? A scoping review.

Integrated Diagnostics: Embracing Artificial Intelligence and, Above All, Multidisciplinary Teamwork.

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training.

Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging.

Fetal brain tissue annotation and segmentation challenge results.

Evolution of cortical geometry and its link to function, behaviour and ecology.

Deep learning for predicting future lesion emergence in high-risk breast MRI screening: a feasibility study.

Innovations in Deep Learning to Predict Individual Risk and Treatment Outcome.