2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks
Ramy Hussein, David Shin, Moss Zhao +4
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of a wide range of neurological diseases. Positron emission tomography (PET) with…
eess.IV2022★ 2 cited
Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation
Ramy Hussein, Moss Zhao, David Shin +6
Accurate quantification of cerebral blood flow (CBF) is essential for the diagnosis and assessment of cerebrovascular diseases such as Moyamoya, carotid stenosis, aneurysms, and st…
eess.IV2021★ 2 cited
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
Anirudh Joshi, Sabri Eyuboglu, Shih-Cheng Huang +5
FDG PET/CT imaging is a resource intensive examination critical for managing malignant disease and is particularly important for longitudinal assessment during therapy. Approaches…