Friday June 17th, 2022 Join our one-day conference to learn about how SmartHeart researchers have been using machine learning methods to make MR cardiac imaging faster, smarter and more efficient. Participation is free but registration is required. Location: Imperial College … Continued
Differences in cardiac and aortic structure and function are associated with cardiovascular diseases and a wide range of other types of disease. Here we analyzed cardiovascular magnetic resonance images from a population-based study, the UK Biobank, using an automated machine-learning-based … Continued
A population-based phenome-wide association study of cardiac and aortic structure and function Wenjia Bai et al. (2020) Nature Medicine volume 26, pages 1654–1662. DOI “My research is at the interface between machine learning and medical imaging. I am interested in medical image … Continued
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At SmartHeart we are passionate about developing and applying AI methods to develop smarter MR scanners. The aim is to use AI to improve how quickly images are acquired, and to make the images better quality as well. AI tools … Continued
Researchers from the SmartHeart project will present 9 papers at this year’s MICCAI conference in Shenzhen, China. The list of papers being presented is given below: Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction Wenjia Bai, Chen … Continued
Jo Schlemper, a PhD Student supervised by Daniel Rueckert, is presenting his work on “decomposing AUTOMAP to Achieve Scalability and Enhance Performance” at the International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting & Exhibition in Montreal, Canada, … Continued
1 NOVEMBER 2018 | UPDATE THIS EVENT IS NOW FULLY BOOKED. IF YOU WOULD LIKE TO BE ADDED TO THE WAITING LIST PLEASE CLICK ON THE “REGISTER” LINK AND FOLLOW THE INSTRUCTIONS THERE. January 16, 2019 | London … Continued
There was a strong SmartHeart presence at CMR 2018 in Barcelona last week. The focus on CMR2018 was on “Improving Clinical Value by Technical Advances”, emphasising the common goal of improving clinical outcomes in cardiovascular disease through innovation in basic … Continued