58 citations · 143 across the 40 of their papers we have counts for
4 papers · 1 filter
SPASHT: An image-enhancement method for sparse-view MPI SPECT
Zezhang Yang, Zitong Yu, Nuri Choi +4
Single-photon emission computed tomography for myocardial perfusion imaging (MPI SPECT) is a widely used diagnostic tool for coronary artery disease. However, the procedure require…
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
Xiyao Jin, Yao Hao, Jessica Hilliard +5
To safely deploy deep learning models in the clinic, a quality assurance framework is needed for routine or continuous monitoring of input-domain shift and the models' performance…
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Zitong Yu, Md Ashequr Rahman, Richard Laforest +5
Artificial intelligence-based methods have generated substantial interest in nuclear medicine. An area of significant interest has been using deep-learning (DL)-based approaches fo…
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
Md Ashequr Rahman, Zitong Yu, Barry A. Siegel +1
Deep-learning (DL)-based methods have shown significant promise in denoising myocardial perfusion SPECT images acquired at low dose. For clinical application of these methods, eval…