:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	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
Natura:	Artículo Open Access
Pubblicazione:	Wiley 2024
Soggetti:	Medical Physics
Accesso online:	https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.17068
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Full-dose Whole-body PET Synthesis from Low-dose PET Using High-efficiency Denoising Diffusion Probabilistic Model: PET Consistency Model
di: Pan, Shaoyan, et al.
Pubblicazione: (2023)

CT‐based synthetic iodine map generation using conditional denoising diffusion probabilistic model
di: Yuan Gao, et al.
Pubblicazione: (2024)

Noise‐assisted hybrid attention networks for low‐dose PET and CT denoising
di: Hengzhi Xue, et al.
Pubblicazione: (2024)

Poisson diffusion probabilistic model for low‐dose SPECT sinogram denoising
di: Peng Lai, et al.
Pubblicazione: (2025)

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

Text controllable PET denoising
di: Ye, Xuehua, et al.
Pubblicazione: (2026)

Dual-Energy Cone-Beam CT Using Two Orthogonal Projection Views: A Phantom Study
di: Peng, Junbo, et al.
Pubblicazione: (2025)

UR‐cycleGAN: Denoising full‐body low‐dose PET images using cycle‐consistent Generative Adversarial Networks
di: Yang Liu, et al.
Pubblicazione: (2025)

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap
di: Cui, Jiaqi, et al.
Pubblicazione: (2024)

PFCM: Poisson flow consistency models for low-dose CT image denoising
di: Hein, Dennis, et al.
Pubblicazione: (2024)

Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
di: Huang, Bin, et al.
Pubblicazione: (2024)

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
di: Wang, Tonghe, et al.
Pubblicazione: (2025)

Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction
di: Pain, Cameron Dennis, et al.
Pubblicazione: (2024)

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
di: Wu, Jiaqi, et al.
Pubblicazione: (2025)

A probabilistic framework for the diagnostic utility of tau‐PET
di: Bastiaan G J van Tol, et al.
Pubblicazione: (2025)

A probabilistic framework for the diagnostic utility of tau‐PET
di: Bastiaan G J van Tol, et al.
Pubblicazione: (2025)

Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
di: Geng, Mengxiao, et al.
Pubblicazione: (2025)

Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising
di: Xuan Liu, et al.
Pubblicazione: (2024)

abedisyedaliabbas/PET-Protocol: PET-Protocol
di: Syed Ali Abbas Abedi
Pubblicazione: (2026)

PET-Adapter: Test-Time Domain Adaptation for Full and Limited-Angle PET Image Reconstruction
di: Yilmaz, Rüveyda, et al.
Pubblicazione: (2026)

Dual-Energy Cone-Beam CT Using Two Complementary Limited-Angle Scans with A Projection-Consistent Diffusion Model
di: Peng, Junbo, et al.
Pubblicazione: (2024)

Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
di: Geng, Mengxiao, et al.
Pubblicazione: (2025)

MRI‐based prostate cancer classification using 3D efficient capsule network
di: Yuheng Li, et al.
Pubblicazione: (2024)

Extending gPET for Multi-Layer PET Simulation
di: Sitmukhambetov, Satzhan, et al.
Pubblicazione: (2026)

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

Microscopy image reconstruction with physics-informed denoising diffusion probabilistic model
di: Li, Rui, et al.
Pubblicazione: (2023)

Generative quantum machine learning via denoising diffusion probabilistic models
di: Zhang, Bingzhi, et al.
Pubblicazione: (2023)

Self‐supervised denoising diffusion probabilistic models for abdominal DW‐MRI
di: Serge Didenko Vasylechko, et al.
Pubblicazione: (2025)

Image‐domain material decomposition for dual‐energy CT using unsupervised learning with data‐fidelity loss
di: Junbo Peng, et al.
Pubblicazione: (2024)

Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT
di: Peng, Junbo, et al.
Pubblicazione: (2024)

CQS PET
di: Paradise, Chris
Pubblicazione: (2026)

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

FDG and FAPI PET–based response evaluation to reduced‐dose nivolumab in pleural mesothelioma: A case report
di: Morten Bentestuen, et al.
Pubblicazione: (2026)

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

Prediction of early recurrence of adult‐type diffuse gliomas following radiotherapy using multi‐modal magnetic resonance images
di: Elahheh Salari, et al.
Pubblicazione: (2024)

Patient-Specific CBCT Synthesis for Real-time Tumor Tracking in Surface-guided Radiotherapy
di: Pan, Shaoyan, et al.
Pubblicazione: (2024)

AutoPET III Challenge: PET/CT Semantic Segmentation
di: Safdari, Reza, et al.
Pubblicazione: (2024)

The role of PSMA PET / CT in staging patients with intermediate‐risk prostate cancer
di: Jacinta Bonaddio, et al.
Pubblicazione: (2025)

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

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