50 citations · 189 across the 12 of their papers we have counts for
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physics.med-ph2021★ 50 cited
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance
Yuya Onishi, Fumio Hashimoto, Kibo Ote +4
Although supervised convolutional neural networks (CNNs) often outperform conventional alternatives for denoising positron emission tomography (PET) images, they require many low-…
physics.med-ph2021★ 50 cited
Direct PET Image Reconstruction Incorporating Deep Image Prior and a Forward Projection Model
Fumio Hashimoto, Kibo Ote
Convolutional neural networks (CNNs) have recently achieved remarkable performance in positron emission tomography (PET) image reconstruction. In particular, CNN-based direct PET i…
physics.med-ph2021★ 3 cited
Direct positron emission imaging: ultra-fast timing enables reconstruction-free imaging
Ryosuke Ota, Sun Il Kwon, Eric Berg +7
Positron emission tomography, like many other tomographic imaging modalities, relies on an image reconstruction step to produce cross-sectional images from projection data. Detecti…