First Virtual Workshop on Automatic Diagnostics of COVID-19 Sounds.
Short Talks List

  • Signal Analysis to Detect Abnormal Respiratory Sounds Due to COVID-19. S. Costanzo. University of Calabria, Italy.
  • Population Models and Drug Repositioning to fight the COVID outbreak. J Fernandez Martinez. University of Oviedo, Spain.
  • Spiral Project: Early Detection of COVID-19 Respiratory Insufficiency. Marcelo Finger, Universidade de San Paulo, Brazil.
  • AI based anomaly detection in breath sounds via a smartphone. Harini S., P Deshpande, B Rai. TCS Research, Pune, India.
  • Uniting Humanity to Crowdsource COVID-19 Sounds. Amil Khanzada, Kim Tran. Virufy.
  • Cough Analysis using the Human Auditory Model. R. Sharan. Macquarie University, Australia.
  • Swaasa: Respiratory Health Unbound. Narayana Rao Sripada. Saalcit Technology Privaate Limited.
  • Sensowell. Tanel Tätte. University of Tartu, Estonia.