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 | Nuclear Medicine Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging. March 28, 2024
Cardiology | Radiology Deep-Learning-Based Few-Angle Cardiac SPECT Reconstruction Using Transformer. July 3, 2023
Cardiology | Radiology DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. May 22, 2023
Cardiology | Radiology Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. May 1, 2023
Cardiology | Nuclear Medicine Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network. December 2, 2022
Cardiology | Radiology Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning. October 23, 2022
Cardiology | Nuclear Medicine Deep Learning-based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT. October 13, 2022
Cardiology | Radiology Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images. October 4, 2022
Cardiology | Nuclear Medicine | Radiology Data Management and Network Architecture Effect on Performance Variability in Direct Attenuation Correction via Deep Learning for Cardiac SPECT: A Feasibility Study. September 5, 2022
Cardiology | Radiology DuDoSS: Deep-Learning-Based Dual-Domain sinogram synthesis from Sparsely-sampled projections of cardiac SPECT. September 1, 2022
Cardiology | Nuclear Medicine Explainable Deep Learning Improves Physician Interpretation of Myocardial Perfusion Imaging. May 5, 2022