Cardiology | Radiology Explainable deep learning-based ischemia detection using hybrid O-15 H2O perfusion PET/CT imaging and clinical data. June 9, 2024
Nuclear Cardiology | Radiology Deep Learning Approach for Automated Segmentation of Myocardium Using Bone Scintigraphy SPECT/CT in Patients with Suspected Cardiac Amyloidosis. February 2, 2024
Nuclear Medicine | Radiology Deep-learning-based methods of attenuation correction for SPECT and PET. January 20, 2024
Nuclear Cardiology | Radiology Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning. January 20, 2024
Nuclear Cardiology Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images. January 20, 2024
Cardiology | Radiology Machine and deep learning models for accurate detection of ischemia and scar with myocardial blood flow PET imaging. January 7, 2024
Nuclear Cardiology | Radiology Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reconstruction filtering and deep learning. May 23, 2023
Nuclear Cardiology Automatic reorientation by deep learning to generate short-axis SPECT myocardial perfusion images. March 1, 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
Cardiology | Nuclear Medicine A method using deep learning to discover new predictors from left-ventricular mechanical dyssynchrony for CRT response. August 1, 2022