Cover Image

PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Bin, Xu, Feihong, Shi, Xinchong, Huang, Shan, Li, Binxuan, Li, Fei, Liu, Qiegen
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
by: Chen, Fang, et al.
Published: (2025)

st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
by: Hong, Ran, et al.
Published: (2024)

Learning-Based Conditional Image Coder Using Color Separation
by: Jia, Panqi, et al.
Published: (2022)

LaminoDiff: Artifact-Free Computed Laminography in Non-Destructive Testing via Diffusion Model
by: Liu, Tan, et al.
Published: (2026)

RelA-Diffusion: Relativistic Adversarial Diffusion for Multi-Tracer PET Synthesis from Multi-Sequence MRI
by: Yu, Minhui, et al.
Published: (2026)

Adaptive Online Learning of Separable Path Graph Transforms for Intra-prediction
by: Lu, Wen-Yang, et al.
Published: (2024)

Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
by: Zhang, Wenhao, et al.
Published: (2024)

MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
by: Zhang, Junyan, et al.
Published: (2024)

Deep Learning-Based Prediction of PET Amyloid Status Using Multi-Contrast MRI
by: Kim, Donghoon, et al.
Published: (2024)

Dynamic PET Image Prediction Using a Network Combining Reversible and Irreversible Modules
by: Sun, Jie, et al.
Published: (2024)

TaQ-DiT: Time-aware Quantization for Diffusion Transformers
by: Liu, Xinyan, et al.
Published: (2024)

IgCONDA-PET: Weakly-Supervised PET Anomaly Detection using Implicitly-Guided Attention-Conditional Counterfactual Diffusion Modeling -- a Multi-Center, Multi-Cancer, and Multi-Tracer Study
by: Ahamed, Shadab, et al.
Published: (2024)

Unsupervised Learning of Multi-modal Affine Registration for PET/CT
by: Chen, Junyu, et al.
Published: (2024)

Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge
by: Astaraki, Mehdi, et al.
Published: (2024)

Ordered-subsets Multi-diffusion Model for Sparse-view CT Reconstruction
by: Yu, Pengfei, et al.
Published: (2025)

M2Diff: Multi-Modality Multi-Task Enhanced Diffusion Model for MRI-Guided Low-Dose PET Enhancement
by: Yar, Ghulam Nabi Ahmad Hassan, et al.
Published: (2026)

Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data
by: Xie, Huidong, et al.
Published: (2024)

PET Image Denoising via Text-Guided Diffusion: Integrating Anatomical Priors through Text Prompts
by: Yu, Boxiao, et al.
Published: (2025)

autoPET IV challenge: Incorporating organ supervision and human guidance for lesion segmentation in PET/CT
by: Huang, Junwei, et al.
Published: (2025)

SUSEP-Net: Simulation-Supervised and Contrastive Learning-based Deep Neural Networks for Susceptibility Source Separation
by: Li, Min, et al.
Published: (2025)

LeqMod: Adaptable Lesion-Quantification-Consistent Modulation for Deep Learning Low-Count PET Image Denoising
by: Xia, Menghua, et al.
Published: (2024)

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

Building Lightweight Semantic Segmentation Models for Aerial Images Using Dual Relation Distillation
by: Li, Minglong, et al.
Published: (2025)

Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers
by: Li, Jianan, et al.
Published: (2026)

Knowledge-driven deep learning for fast MR imaging: undersampled MR image reconstruction from supervised to un-supervised learning
by: Wang, Shanshan, et al.
Published: (2024)

LegoPET: Hierarchical Feature Guided Conditional Diffusion for PET Image Reconstruction
by: Sun, Yiran, et al.
Published: (2024)

MaskCRT: Masked Conditional Residual Transformer for Learned Video Compression
by: Chen, Yi-Hsin, et al.
Published: (2023)

mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model
by: Wang, Yong, et al.
Published: (2026)

MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising
by: Niu, Xiaolong, et al.
Published: (2025)

Prompted Contextual Transformer for Incomplete-View CT Reconstruction
by: Ma, Chenglong, et al.
Published: (2023)

FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction
by: Liu, Qiqing, et al.
Published: (2025)

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction
by: Cui, Jiaqi, et al.
Published: (2024)

Highly Efficient Non-Separable Transforms for Next Generation Video Coding
by: Said, Amir, et al.
Published: (2025)

PRO: Projection Domain Synthesis for CT Imaging
by: Chen, Kang, et al.
Published: (2025)

Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation
by: Wiedeman, Christopher, et al.
Published: (2024)

Recover Cell Tensor: Diffusion-Equivalent Tensor Completion for Fluorescence Microscopy Imaging
by: Wang, Chenwei, et al.
Published: (2026)

MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model
by: Zhao, Ting, et al.
Published: (2024)

Tau Anomaly Detection in PET Imaging via Bilateral-Guided Deterministic Diffusion Model
by: Zhong, Lujia, et al.
Published: (2024)

MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
by: Phung, Huu-Tai, et al.
Published: (2025)

Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors
by: Wang, Yaning, et al.
Published: (2026)