Two-Branch Recurrent Network for Isolating Deepfakes in Videos. - Iacopo Masi; Aditya Killekar; Royston Marian Mascarenhas; Shenoy Pratik Gurudatt; Wael AbdAlmageed (ECCV (7), 2020)

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. - Kajetan Grodecki; Aditya Killekar; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Judit Simon; Pál Maurovich-Horvat; Nicola Gaibazzi; et al. (CoRR, 2021)

COVID-19 lesion segmentation using convolutional LSTM for self-attention. - Aditya Killekar; Kajetan Grodecki; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Peter Chen; Judit Simon; Nitesh Nerlekar; et al. (Image Processing, 2022)

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)

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)

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)