2 papers have been accepted by Nature Medicine and Nature. In these papers, we extracted a broad range of cardiac and aortic imaging phenotypes using machine learning, combined them with non-imaging and genetic phenotypes for the participants from a large population and investigated into the structure and function of the heart.

  1. Wenjia Bai, Hideaki Suzuki, Jian Huang, Catherine Francis, Shuo Wang, Giacomo Tarroni, Florian Guitton, Nay Aung, Kenneth Fung, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Evangelos Evangelou, Abbas Dehghan, Declan P. O’Regan, Martin R. Wilkins, Yike Guo, Paul M. Matthews and Daniel Rueckert. A population-based phenome-wide association study of cardiac and aortic structure and function. Nature Medicine, 2020.

  2. Hannah V. Meyer, Timothy J. W. Dawes, Marta Serrani, Wenjia Bai, Pawel Tokarczuk, Jiashen Cai, Antonio de Marvao, Albert Henry, R. Thomas Lumbers, Jakob Gierten, Thomas Thumberger, Joachim Wittbrodt, James S. Ware, Daniel Rueckert, Paul M. Matthews, Sanjay K. Prasad, Maria L. Costantino, Stuart A. Cook, Ewan Birney and Declan P. O’Regan. Genetic and functional insights into the fractal structure of the heart. Nature, 2020.