Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging. - Mahsa Torkaman; Jaewon Yang; Luyao Shi; Rui Wang; Edward J. Miller; Albert J. Sinusas; Chi Liu 001; Grant T. Gullberg; Youngho Seo (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning. - Luyao Shi; Yihuan Lu; Nicha C. Dvornek; Christopher A. Weyman; Edward J. Miller; Albert J. Sinusas; Chi Liu 001 (IEEE Trans. Medical Imaging, 2021)

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)

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. - Richard Ríos; Robert J. H. Miller; Nipun Manral; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; Philipp A. Kaufmann; Albert J. Sinusas; Edward J. Miller; Timothy M. Bateman; Sharmila Dorbala; et al. (Comput. Biol. Medicine, 2022)

TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction. - Xueqi Guo; Luyao Shi; Xiongchao Chen; Bo Zhou 009; Qiong Liu; Huidong Xie; Yi-Hwa Liu; Richard Palyo; Edward J. Miller; Albert J. Sinusas; Bruce Spottiswoode; Chi Liu 001; et al. (SASHIMI@MICCAI, 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)

DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. - Xiongchao Chen; Bo Zhou 009; Huidong Xie; Xueqi Guo; Jiazhen Zhang; James S. Duncan; Edward J. Miller; Albert J. Sinusas; John A. Onofrey; Chi Liu 001 (Medical Image Anal., 2023)

TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. - Xueqi Guo; Luyao Shi; Xiongchao Chen; Qiong Liu; Bo Zhou 009; Huidong Xie; Yi-Hwa Liu; Richard Palyo; Edward J. Miller; Albert J. Sinusas; Lawrence H. Staib; Bruce Spottiswoode; et al. (Medical Image Anal., 2024)

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)