Detection of emerging infectious lung diseases

Grant number: P 35189

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Key facts

  • Disease

    COVID-19
  • Start & end year

    N/A
  • Known Financial Commitments (USD)

    $466,636.83
  • Funder

    FWF
  • 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

15 Publications linked via Europe PMC

Last Updated:5 hours ago

View all publications at Europe PMC

Identifying signatures of image phenotypes to track treatment response in liver disease.

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.

Contrast Agent Dynamics Determine Radiomics Profiles in Oncologic Imaging.

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

Fetal brain tissue annotation and segmentation challenge results.

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.