A Study of Deep Learning Networks for Motion Compensation in Cardiac Gated Spect Images. - Xirang Zhang; Álvaro Belloso; Yongyi Yang; Miles N. Wernick; P. Hendrik Pretorius; Michael A. King (ICIP, 2022)

A Feasibility Study of Motion Compensation for Cardiac Gated Spect Images Using a Cascaded Network. - Álvaro Belloso; Xirang Zhang; Yongyi Yang; Miles N. Wernick; P. Hendrik Pretorius; Michael A. King (ISBI, 2022)

Exploring Anatomical Similarity in Cardiac-Gated Spect Images for A Deep Learning Network. - Xirang Zhang; Yongyi Yang; P. Hendrik Pretorius; Michael A. King (ICIP, 2023)

Assessment of Deep-Learning Based Motion Compensation on Detection of Perfusion Defects in Cardiac-Gated SPECT Images. - Xirang Zhang; Yongyi Yang; P. Hendrik Pretorius; Michael A. King (ISBI, 2023)

Temporal Regularization for Robust Motion Compensation in Reduced Dose Cardiac-Gated Spect Images. - Xirang Zhang; Yongyi Yang; Jovan G. Brankov; P. Hendrik Pretorius; Michael A. King (ICIP, 2024)

Improving Temporal Resolution in Clinical Cardiac-gated SPECT Studies via Surrogate Training in Deep Learning Denoising. - Xirang Zhang; Yongyi Yang; Jovan G. Brankov; P. Hendrik Pretorius; Michael A. King (ISBI, 2024)

Training Strategies for Increased Temporal Resolution in Clinical Cardiac-gated SPECT Studies with Deep Learning Denoising. - Xirang Zhang; Yongyi Yang; Jovan G. Brankov; P. Hendrik Pretorius; Michael A. King (ISBI, 2025)