Cardiology | Radiology TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. May 31, 2024
Cardiology | Radiology Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer. July 3, 2023
Nuclear Medicine | Radiology Fast myocardial perfusion SPECT denoising using an attention-guided generative adversarial network. February 23, 2023
Cardiology | Nuclear Medicine Deep-learning-based estimation of attenuation map improves attenuation correction performance over direct attenuation estimation for myocardial perfusion SPECT. September 13, 2022
Medical Imaging | Nuclear Cardiology | Radiology Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT. August 18, 2022
Nuclear Cardiology | Radiology Increasing angular sampling through deep learning for stationary cardiac SPECT image reconstruction. May 4, 2022
Nuclear Cardiology | Radiology Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT. April 27, 2022
Nuclear Medicine | Radiology Direct and indirect strategies of deep-learning-based attenuation correction for general purpose and dedicated cardiac SPECT. February 16, 2022
Nuclear Cardiology Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation. October 21, 2021
Nuclear Cardiology Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning. January 29, 2021
Nuclear Medicine | Radiology Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET. September 14, 2020
Nuclear Medicine | Radiology Deep learning-based attenuation map generation for myocardial perfusion SPECT. March 28, 2020