// App-Quantinova.ai

TCT-250 : A Novel Coronary Computed Tomography Angiography Deep-Learning Methodology for Coronary Atheroma Quantification and Characterization Trained Using Near-Infrared Spectroscopy-Intravascular Ultrasound

Researchers

Presenter

  • Anantharaman Ramasamy

Principal Investigators

  • Hessam Sokooti

  • Xiaotong Zhang

  • Evangelia Tzorovili

  • Retesh Bajaj

  • Pieter Kitslaar

  • Rajiv Amersey

  • Ajay Jain

  • Mick Ozkor

  • Johan Reiber

  • Jouke Dijkstra

  • Patrick Serruys

  • Ryo Torii

  • James Moon

  • Anthony Mathur

  • Andreas Baumbach

  • Francesca Pugliese

  • Christos Bourantas

Medical Centers

  • Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands

  • National University of Ireland Galway, Galway, Ireland

  • Queen Mary University of London, London, United Kingdom

  • the Netherlands

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

  • Barts Heart Centre, London, United Kingdom

  • Medis Medical Imaging, Leiden, the Netherlands

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

  • Pragmatic Clinical Trials Unit, Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom

  • Department of Cardiology, Barts Health NHS Trust

  • Leiden University Medical Centre, Leiden, Netherlands

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

Locations

  • Netherlands

  • Ireland

  • United Kingdom

Companies

  • N/A

Study Components

Therapeutic Area

  • N/A

Disease

  • N/A

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