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06/07/2023
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT
There is an important need for methods to reduce radiation dose and imag...
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05/19/2023
A quality assurance framework for real-time monitoring of deep learning segmentation models in radiotherapy
To safely deploy deep learning models in the clinic, a quality assurance...
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03/03/2023
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Artificial intelligence-based methods have generated substantial interes...
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03/01/2023
A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT
Deep-learning (DL)-based methods have shown significant promise in denoi...
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11/07/2022
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine – The Bethesda Report (AI Summit 2022)
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SN...
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03/03/2022
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Multiple objective assessment of image-quality-based studies have report...
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06/03/2020
A no-gold-standard technique to objectively evaluate quantitative imaging methods using patient data: Theory
Objective evaluation of quantitative imaging (QI) methods using measurem...
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02/29/2020