Copertina

Dual Prompting for Diverse Count-level PET Denoising

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Liu, Xiaofeng, Huang, Yongsong, Marin, Thibault, Eslahi, Samira Vafay, Amal, Tiss, Chemli, Yanis, Johnson, Keith, Fakhri, Georges El, Ouyang, Jinsong
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection under Label Shift
di: Liu, Xiaofeng, et al.
Pubblicazione: (2026)

PET mapping of receptor occupancy using joint direct parametric reconstruction
di: Marin, Thibault, et al.
Pubblicazione: (2024)

An Open Multi-Center Whole-Body FDG PET/CT Foundation Model for Tumor Segmentation
di: Liu, Xiaofeng, et al.
Pubblicazione: (2026)

Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
di: Lee, Wonil, et al.
Pubblicazione: (2024)

Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM
di: Liu, Xiaofeng, et al.
Pubblicazione: (2024)

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation
di: Wei, Jia, et al.
Pubblicazione: (2025)

Modeling inter‐reader variability in clinical target volume delineation for soft tissue sarcomas using diffusion model
di: Yafei Dong, et al.
Pubblicazione: (2025)

Maintaining SUV Accuracy in Low-Count PET with PETfectior: A Deep Learning Denoising Solution
di: Habarnau, Yamila Rotstein, et al.
Pubblicazione: (2025)

On hallucinations in AI-generated content for nuclear medicine imaging (the DREAM report)
di: Xia, Menghua, et al.
Pubblicazione: (2025)

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI
di: Liu, Xiaofeng, et al.
Pubblicazione: (2024)

Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model
di: Shaoyan Pan, et al.
Pubblicazione: (2024)

Maximum Likelihood Estimation Yields Accurate Line-of-Response Assignment for Positron + Prompt Gamma Ray Events in Multiplexed PET (mPET)
di: Zou, Sarah J., et al.
Pubblicazione: (2026)

Dual-Input Dynamic Convolution for Positron Range Correction in PET Image Reconstruction
di: Mellak, Youness, et al.
Pubblicazione: (2025)

Anatomically and Metabolically Informed Diffusion for Unified Denoising and Segmentation in Low-Count PET Imaging
di: Xia, Menghua, et al.
Pubblicazione: (2025)

Quantifying extracerebral off‐target contamination in [ 18 F]MK6240 PET imaging using compartmental modeling
di: Jessie Fanglu Fu, et al.
Pubblicazione: (2025)

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

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

Incorporating Tissue Composition Information in Total-Body PET Metabolic Quantification of Bone Marrow through Dual-Energy CT
di: Li, Siqi, 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)

Single-Subject Deep-Learning Image Reconstruction with a Neural Optimization Transfer Algorithm for PET-enabled Dual-Energy CT Imaging
di: Li, Siqi, et al.
Pubblicazione: (2023)

Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
di: Onishi, Yuya, et al.
Pubblicazione: (2023)

Investigation of Novel Preclinical Total Body PET Designed With J-PET Technology:A Simulation Study
di: Dadgar, M., et al.
Pubblicazione: (2024)

Photon-Counting CT in Cancer Radiotherapy: Technological Advances and Clinical Benefits
di: Shah, Keyur D., et al.
Pubblicazione: (2024)

Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024)
di: Rahmim, Arman, et al.
Pubblicazione: (2024)

Development of the normalization method for the Jagiellonian PET scanner
di: Coussat, Aurélien, et al.
Pubblicazione: (2022)

Deep learning generation of preclinical positron emission tomography (PET) images from low‐count PET with task‐based performance assessment
di: Kaushik Dutta, et al.
Pubblicazione: (2024)

Neural blind deconvolution for deblurring and supersampling PSMA PET
di: Sample, Caleb, et al.
Pubblicazione: (2023)

Monitoring Head Movement in a Brain PET Scanner
di: Kolstein, Machiel, et al.
Pubblicazione: (2025)

3D in‐system calibration method for PET detectors
di: Yannick Kuhl, et al.
Pubblicazione: (2024)

Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data
di: Hou, Yucun, et al.
Pubblicazione: (2024)

Adaptive Whole-Body PET Image Denoising Using 3D Diffusion Models with ControlNet
di: Yu, Boxiao, et al.
Pubblicazione: (2024)

Development of the quantitative PET prostate phantom (Q3P) for improved quality assurance of 18F‐PSMA PET imaging in metastatic prostate cancer
di: Roberto Fedrigo, et al.
Pubblicazione: (2024)

Comparison of user interfaces for measuring the matrix sentence test on a smartphone
di: Saak, Samira, et al.
Pubblicazione: (2024)

Endorsing Titanium-Scandium Radionuclide Generator for PET and Positronium Imaging
di: Moskal, Paweł, et al.
Pubblicazione: (2025)

Dosimetric and biological impact of activity extravasation of radiopharmaceuticals in PET imaging
di: Ashok Tiwari, et al.
Pubblicazione: (2024)

Physically-Based Inverse Rendering Framework for PET Image Reconstruction
di: Li, Yixin, et al.
Pubblicazione: (2025)

Iterative projected gradient descent for dynamic PET kernel reconstruction
di: Miranda, Alan, et al.
Pubblicazione: (2025)

Generative Super-Resolution PET Imaging with Fourier Diffusion Models
di: Tivnan, Matthew, et al.
Pubblicazione: (2025)

Design and characterization of a hybrid PET detector with DOI capability
di: Wen He, et al.
Pubblicazione: (2024)

Physical phantom validation of clustering‐initiated factorization in dynamic PET
di: Valerie Kobzarenko, et al.
Pubblicazione: (2025)