:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ai, Xingyu, Huang, Bin, Chen, Fang, Shi, Liu, Li, Binxuan, Wang, Shaoyu, Liu, Qiegen
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2411.05354
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Transformer Meets Random Masks: An Advanced PET Reconstruction Framework
by: Huang, Bin, et al.
Published: (2025)

UniSino: Physics-Driven Foundational Model for Universal CT Sinogram Standardization
by: Ai, Xingyu, et al.
Published: (2025)

Diffusion-based Sinogram Interpolation for Limited Angle PET
by: Yilmaz, Rüveyda, et al.
Published: (2025)

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

PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space Learning
by: Huang, Bin, et al.
Published: (2025)

FSP-Diff: Full-Spectrum Prior-Enhanced DualDomain Latent Diffusion for Ultra-Low-Dose Spectral CT Reconstruction
by: Peng, Peng, et al.
Published: (2026)

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

BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models
by: Liu, Liming, et al.
Published: (2026)

Physics-informed DeepCT: Sinogram Wavelet Decomposition Meets Masked Diffusion
by: Zhou, Zekun, et al.
Published: (2025)

ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
by: Huang, Bin, et al.
Published: (2025)

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction
by: Lin, Jian, et al.
Published: (2026)

Continuity-driven Synergistic Diffusion with Neural Priors for Ultra-Sparse-View CBCT Reconstruction
by: Wang, Junlin, et al.
Published: (2026)

Extendable Generalization Self-Supervised Diffusion for Low-Dose CT Reconstruction
by: Wei, Guoquan, et al.
Published: (2025)

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

Iterative Diffusion-Refined Neural Attenuation Fields for Multi-Source Stationary CT Reconstruction: NAF Meets Diffusion Model
by: Fang, Jiancheng, et al.
Published: (2025)

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

Representing Flow Fields with Divergence-Free Kernels for Reconstruction
by: Ni, Xingyu, et al.
Published: (2025)

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

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

Improving Channel Estimation via Multimodal Diffusion Models with Flow Matching
by: Fan, Xiaotian, et al.
Published: (2026)

Volumetric Conditional Score-based Residual Diffusion Model for PET/MR Denoising
by: Yoon, Siyeop, et al.
Published: (2024)

Virtual-mask Informed Prior for Sparse-view Dual-Energy CT Reconstruction
by: Chen, Zini, et al.
Published: (2025)

RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
by: Chen, PengYu, et al.
Published: (2025)

GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction
by: Geng, Mengxiao, et al.
Published: (2026)

Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024)

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

Residual Denoising Diffusion Models
by: Liu, Jiawei, et al.
Published: (2023)

Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
by: Xuan, Hao, et al.
Published: (2025)

BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials
by: Xing, Xingrun, et al.
Published: (2023)

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

Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation
by: Liu, Zhihong, et al.
Published: (2024)

Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
by: Liu, Pei, et al.
Published: (2024)

Expert Upcycling: Shifting the Compute-Efficient Frontier of Mixture-of-Experts
by: Dwivedi, Chaitanya, et al.
Published: (2026)

Estimating Individual Dose-Response Curves under Unobserved Confounders from Observational Data
by: Chen, Shutong, et al.
Published: (2024)

Steerable Conditional Diffusion for Domain Adaptation in PET Image Reconstruction
by: Webber, George, et al.
Published: (2025)

PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
by: Xue, Yuxin, et al.
Published: (2023)

PMT Waveform Simulation and Reconstruction with Conditional Diffusion Network
by: Liu, Kainan, et al.
Published: (2026)

Matrix Completion via Residual Spectral Matching
by: Chen, Ziyuan, et al.
Published: (2024)

Rethinking Timing Residuals: Advancing PET Detectors with Explicit TOF Corrections
by: Naunheim, Stephan, et al.
Published: (2025)

ResidualTransformer: Residual Low-Rank Learning with Weight-Sharing for Transformer Layers
by: Wang, Yiming, et al.
Published: (2023)