Nuclear Medicine | Radiology DEMIST: A Deep-Learning-Based Detection-Task-Specific Denoising Approach for Myocardial Perfusion SPECT. May 20, 2024
Nuclear Medicine | Radiology Deep learning generation of preclinical positron emission tomography (PET) images from low-count PET with task-based performance assessment. May 6, 2024
Nuclear Medicine | Radiology DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT. June 19, 2023
Neurology | Radiology An automatic pipeline for PET/MRI attenuation correction validation in the brain. June 9, 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
Neurology | Radiology A tissue-fraction estimation-based segmentation method for quantitative dopamine transporter SPECT. May 31, 2022
Nuclear Medicine | Radiology MR-assisted PET respiratory motion correction using deep-learning based short-scan motion fields. March 28, 2022
Nuclear Medicine | Radiology A physics and learning-based transmission-less attenuation compensation method for SPECT. October 18, 2021
Neurology | Radiology Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging. February 9, 2021