// App-Quantinova.ai

TCT-254 : Histology-Trained Deep Learning Methodology for Automated Coronary Plaque Component Classification in Combined Intravascular Ultrasound-Optical Coherence Tomography Images

Researchers

Presenter

  • Retesh Bajaj

Principal Investigators

  • Xingru Huang

  • Natasha Alves

  • Jill Weyers

  • Molly Levine

  • Mohil Garg

  • Soe Maung

  • Kit Bransby

  • Ryo Torii

  • Rob Krams

  • Hector Garcia-Garcia

  • Anthony Mathur

  • Andreas Baumbach

  • Qianni Zhang

  • Brian Courtney

  • Christos Bourantas

Medical Centers

  • Queen Mary University of London, London, United Kingdom

  • Department of Cardiology, Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom

  • Department of Cardiology, Barts Health NHS Trust

  • Barts Heart Centre, London, United Kingdom

  • Sunnybrook Research Institute, Toronto, Ontario, Canada

  • Medstar Washington Hospital Center, Washington, District of Columbia, USA

  • School of Electronic Engineering and Computer Science, Queen Mary University of London, London, United Kingdom

  • Institute of Cardiovascular Science, University College London, London, United Kingdom

  • Department of Mechanical Engineering, University College London, London, United Kingdom

  • Washington Hospital Center, Chevy Chase, Maryland, USA

Locations

  • United Kingdom

  • Canada

  • United States

Companies

  • N/A

Study Components

Therapeutic Area

  • Cardiovascular (CVS)

Disease

  • Coronary Artery Disease

Biomarkers

  • N/A

Drug/Treatment

  • N/A

Outcome

  • N/A


Study Design

  • N/A

Phase

  • NA

Study Id's

  • N/A

Sponsors

  • N/A

Result

  • N/A