Image de couverture de livre

Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model

Fuente: Wiley Open Access

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shaoyan Pan, Elham Abouei, Junbo Peng, Joshua Qian, Jacob F Wynne, Tonghe Wang, Chih‐Wei Chang, Justin Roper, Jonathon A Nye, Hui Mao, Xiaofeng Yang
Format:	Artículo Open Access
Publié:	Wiley 2024
Sujets:	Medical Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model
par: Pan, Shaoyan, et autres
Publié: (2023)

CT‐based synthetic iodine map generation using conditional denoising diffusion probabilistic model
par: Yuan Gao, et autres
Publié: (2024)

Poisson diffusion probabilistic model for low‐dose SPECT sinogram denoising
par: Peng Lai, et autres
Publié: (2025)

Noise‐assisted hybrid attention networks for low‐dose PET and CT denoising
par: Hengzhi Xue, et autres
Publié: (2024)

End-to-end Triple-domain PET Enhancement: A Hybrid Denoising-and-reconstruction Framework for Reconstructing Standard-dose PET Images from Low-dose PET Sinograms
par: Jiang, Caiwen, et autres
Publié: (2024)

Text controllable PET denoising
par: Ye, Xuehua, et autres
Publié: (2026)

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks
par: Yang Liu, et autres
Publié: (2025)

Dual-Energy Cone-Beam CT Using Two Orthogonal Projection Views: A Phantom Study
par: Peng, Junbo, et autres
Publié: (2025)

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
par: Cui, Jiaqi, et autres
Publié: (2024)

PFCM: Poisson flow consistency models for low-dose CT image denoising
par: Hein, Dennis, et autres
Publié: (2024)

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
par: Huang, Bin, et autres
Publié: (2024)

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
par: Wu, Jiaqi, et autres
Publié: (2025)

Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction
par: Pain, Cameron Dennis, et autres
Publié: (2024)

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
par: Wang, Tonghe, et autres
Publié: (2025)

A probabilistic framework for the diagnostic utility of tau‐PET
par: Bastiaan G J van Tol, et autres
Publié: (2025)

A probabilistic framework for the diagnostic utility of tau‐PET
par: Bastiaan G J van Tol, et autres
Publié: (2025)

Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
par: Geng, Mengxiao, et autres
Publié: (2025)

Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising
par: Xuan Liu, et autres
Publié: (2024)

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
par: Yilmaz, Rüveyda, et autres
Publié: (2026)

abedisyedaliabbas/PET-Protocol: PET-Protocol
par: Syed Ali Abbas Abedi
Publié: (2026)

Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
par: Geng, Mengxiao, et autres
Publié: (2025)

Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process
par: Koike, Yuta
Publié: (2026)

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
par: Li, Rui, et autres
Publié: (2023)

Generative quantum machine learning via denoising diffusion probabilistic models
par: Zhang, Bingzhi, et autres
Publié: (2023)

Self‐supervised denoising diffusion probabilistic models for abdominal DW‐MRI
par: Serge Didenko Vasylechko, et autres
Publié: (2025)

Extending gPET for Multi-Layer PET Simulation
par: Sitmukhambetov, Satzhan, et autres
Publié: (2026)

A note on connections between the Föllmer process and the denoising diffusion probabilistic model
par: Koike, Yuta
Publié: (2026)

FDG and FAPI PET–based response evaluation to reduced‐dose nivolumab in pleural mesothelioma: A case report
par: Morten Bentestuen, et autres
Publié: (2026)

A comparison of methods for in vivo activity and absorbed dose quantification with PET/CT following yttrium‐90 radioembolization
par: Eric Courtney Henry, et autres
Publié: (2024)

Avaliação das doses no cristalino de indivíduos ocupacionalmente expostos em um serviço de PET/CT
par: A. C. Fischer. S
Publié: (2018)

Dual-Energy Cone-Beam CT Using Two Complementary Limited-Angle Scans with A Projection-Consistent Diffusion Model
par: Peng, Junbo, et autres
Publié: (2024)

CQS PET
par: Paradise, Chris
Publié: (2026)

AutoPET III Challenge: PET/CT Semantic Segmentation
par: Safdari, Reza, et autres
Publié: (2024)

The role of PSMA PET / CT in staging patients with intermediate‐risk prostate cancer
par: Jacinta Bonaddio, et autres
Publié: (2025)

Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments
par: Go, Yeonju, et autres
Publié: (2024)

Exploiting network optimization stability for enhanced PET image denoising using deep image prior
par: Hashimoto, Fumio, et autres
Publié: (2025)

MRI‐based prostate cancer classification using 3D efficient capsule network
par: Yuheng Li, et autres
Publié: (2024)

Multi‐cohort temporal modeling of tau PET onset age and trajectories
par: Jordan P Teague, et autres
Publié: (2024)

Low‐dose PET/MR image enhancement using deep learning with an MR‐based anatomical structure attention mechanism
par: Yunqi Zhang, et autres
Publié: (2025)

Comparação da dose absorvida de dois protocolos de varredura tomográfica em exame de PET/CT
par: F.G. Paiva
Publié: (2018)