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)

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. - Bryan P. Bednarski; Aakash D. Shanbhag; Ananya Singh; Robert J. H. Miller; Heidi Gransar; Keiichiro Kuronuma; Tali Sharir; Sharmila Dorbala; Marcelo Di Carli; Matthews B. Fish; Terrence D. Ruddy; Daniel S. Berman; et al. (Image Processing, 2023)

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)

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)

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Robert J. H. Miller; Aakash D. Shanbhag; Aditya Killekar; Mark Lemley; Bryan P. Bednarski; Serge D. Van Kriekinge; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; Terrence D. Ruddy; Joanna X. Liang; et al. (npj Digit. Medicine, 2024)

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. - Anna M. Marcinkiewicz; Wenhao Zhang; Aakash D. Shanbhag; Robert J. H. Miller; Mark Lemley; Giselle Ramirez; Mikolaj Buchwald; Aditya Killekar; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; et al. (npj Digit. Medicine, 2025)