Deep learning-based stenosis quantification from coronary CT angiography. - Youngtaek Hong; Frederic Commandeur; Sebastien Cadet; Markus Goeller; Mhairi Doris; Xi Chen 053; Jacek Kwiecinski; Daniel S. Berman; Piotr J. Slomka; Hyuk-Jae Chang; Damini Dey (Image Processing, 2019)

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks. - Aditya Killekar; Jacek Kwiecinski; Mariusz Kruk; Cezary Kepka; Aakash D. Shanbhag; Damini Dey; Piotr J. Slomka (Image Processing, 2023)

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. - Nipun Manral; Andrew Lin; Caroline Park; Priscilla McElhinney; Aditya Killekar; Hidenari Matsumoto; Jacek Kwiecinski; Konrad Pieszko; Aryabod Razipour; Kajetan Grodecki; Mhairi Doris; Alan C. Kwan; et al. (Image Processing, 2023)

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Konrad Pieszko; Aakash D. Shanbhag; Ananya Singh; M. Timothy Hauser; Robert J. H. Miller; Joanna X. Liang; Manish Motwani; Jacek Kwiecinski; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; et al. (npj Digit. Medicine, 2023)