Registration is now closed but you can still put forward a poster if you have a speciality in cardio imaging.
This is a one-day workshop and a wonderful opportunity for early career researchers to network as it will bring together international leaders and researchers in machine learning, computational imaging, cardiac imaging and cardiology, and will feature high-profile invited speakers, posters and demonstrations from industry, academia, and clinical settings to give an overview of the clinical challenges, disseminate the latest advances in cardiac imaging and AI, and how these can be combined to create a personalised diagnostic tool for cardiovascular diseases.
• AI for cardiac image acquisition and reconstruction
• AI for automated cardiac imaging and QC
• AI for cardiac image analysis and diagnostics
• Extracting quantitative biomarkers using AI
• Mining population and cohort studies using AI
• Multi-modal (imaging, text, omics) AI approaches
• AI-based decision support for CVD
• Explainable and interpretable AI
• Translation of AI-based solutions into the clinic
• Rajarshi Banerjee, Perspectum Diagnostics
• Alireza Sojoudi, Circle Cardiovascular Imaging
• Tim Leiner, UMC Utrecht
• Alistair Young, University of Auckland
• Declan O’Regan, Imperial College Healthcare NHS Trust
• And many more…
WHO SHOULD ATTEND
This workshop is targeted towards cardiologists and radiologists using or interested in becoming involved with AI approaches to MRI and PET/MRI, biomedical engineers (working in industry and pre- and post-doctoral students) interested in machine learning, and information and data scientists interested in how AI can be used in diagnosis of cardiovascular diseases.
TRAVEL GRANTS AVAILABLE
MedIAN, the Medical Image Analysis Network, are sponsoring five travel grants – worth up to £175 each – for early career researchers who cannot obtain funding for travel to this event.
If you do not work/study/live in London and would like to apply for this financial support, please email firstname.lastname@example.org by 30 November for further information.
For more information and to book a place please visit the SmartHeart website: http://wp.doc.ic.ac.uk/smartheart/