Nuclear Medicine | Radiology DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT. May 20, 2024
Cardiology | Radiology A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. November 22, 2023
Nuclear Medicine | Radiology DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. June 19, 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
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
Nuclear Medicine | Radiology A task-specific deep-learning-based denoising approach for myocardial perfusion SPECT. March 13, 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. March 13, 2023
Bioinformatics | Biophysics | Microscopy Deep-SMOLM: deep learning resolves the 3D orientations and 2D positions of overlapping single molecules with optimal nanoscale resolution. October 19, 2022
Radiology Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization. July 18, 2022
Nuclear Medicine | Radiology A physics and learning-based transmission-less attenuation compensation method for SPECT. October 18, 2021