Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. - Konrad Pieszko; Aakash D. Shanbhag; Aditya Killekar; Mark Lemley; Yuka Otaki; Serge D. Van Kriekinge; Paul Kavanagh; Robert J. H. Miller; Edward J. Miller; Timothy M. Bateman; Damini Dey; Daniel S. Berman; et al. (Image Processing, 2022)

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)

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. - Aakash D. Shanbhag; Konrad Pieszko; Robert J. H. Miller; Aditya Killekar; Waechter Parker; Heidi Gransar; Michelle Williams; Daniel S. Berman; Damini Dey; Piotr J. Slomka (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)