50 citations · 50 across the 1 of their papers we have counts for
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Multi-Kernel TOF-PET Image Reconstruction Using ADMM
Kibo Ote, Fumio Hashimoto, Yuya Onishi +3
Time-of-flight positron emission tomography (TOF-PET) detectors exhibiting multiple coincidence time resolution (CTR) components, such as those induced by the mixing of Cherenkov a…
Exploiting network optimization stability for enhanced PET image denoising using deep image prior
Fumio Hashimoto, Kibo Ote, Yuya Onishi +5
PET is affected by statistical noise due to constraints on tracer dose and scan duration, impacting both diagnostic performance and quantitative accuracy. While deep learning (DL)-…
List-Mode PET Image Reconstruction Using Dykstra-Like Splitting
Kibo Ote, Fumio Hashimoto, Yuya Onishi +1
Convergence of the block iterative method in image reconstruction for positron emission tomography (PET) requires careful control of relaxation parameters, which is a challenging t…
ReconU-Net: a direct PET image reconstruction using U-Net architecture with back projection-induced skip connection
Fumio Hashimoto, Kibo Ote
[Objective] This study aims to introduce a novel back projection-induced U-Net-shaped architecture, called ReconU-Net, for deep learning-based direct positron emission tomography (…
Emphasizing Cherenkov photons from bismuth germanate by single photon deconvolution
Ryosuke Ota, Kibo Ote
Bismuth germanate (BGO) has been receiving attention again because it is a potential scintillator for future time-of-flight positron emission tomography. Owing to its optical prope…
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-…