Md Ashequr Rahman

most citedA task-specific deep-learning-based denoising approach for myocardial perfusion SPECT

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2023

A list-mode multi-energy window low-count SPECT reconstruction method for isotopes with multiple emission peaks

Md Ashequr Rahman, Zekun Li, Zitong Yu +3

SPECT provides a mechanism to perform absorbed-dose quantification tasks for $α$ -particle radiopharmaceutical therapies ( $α$ -RPTs). However, quantitative SPECT for $α$ -RPT is chall…

physics.med-ph2023

Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT

Zitong Yu, Md Ashequr Rahman, Craig K. Abbey +2

Attenuation compensation (AC) is beneficial for visual interpretation tasks in single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI). However, tradi…

eess.IV2023★ 1 cited

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…