Cardiology | Nuclear Medicine Clinical Feasibility of Deep Learning-Based Attenuation Correction Models for Tl-201 Myocardial Perfusion SPECT. February 27, 2024
Cardiology | Radiology A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. November 22, 2023
Cardiology | Radiology Comparison of post reconstruction- and reconstruction-based deep learning denoising methods in cardiac SPECT. September 4, 2023
Nuclear Medicine | Radiology Deep learning approximation of attenuation maps for myocardial perfusion SPECT with an IQ[Formula: see text]SPECT collimator. August 28, 2023
Nuclear Medicine | Radiology Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT. June 5, 2023
Cardiology | Radiology A new method incorporating deep learning with shape priors for left ventricular segmentation in myocardial perfusion SPECT images. May 2, 2023
Nuclear Medicine | Radiology Need for objective task-based evaluation of deep learning-based denoising methods: A study in the context of myocardial perfusion SPECT. April 3, 2023
Nuclear Medicine | Radiology Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT. March 22, 2023
Cardiology | Nuclear Medicine | Radiology Comparison of deep learning-based denoising methods in cardiac SPECT. February 8, 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
Nuclear Medicine | Radiology Deep learning-based attenuation map generation for myocardial perfusion SPECT. March 28, 2020
Cardiology | Nuclear Medicine | Radiology Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study. March 29, 2019