Diffusion Models for Medical Imaging [Diffusion model in projection data (PPT)]
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Highly Undersampled Magnetic Resonance Imaging Reconstruction using Autoencoding Priors
[Paper] [Code] [Slide] [数学图像联盟会议交流PPT] -
High-dimensional Embedding Network Derived Prior for Compressive Sensing MRI Reconstruction
[Paper] [Code] -
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
[Paper] [Paper] [Code] -
REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction
[Paper] [Code] [PPT] [数学图像联盟会议交流PPT] -
Accelerated model-based iterative reconstruction strategy for sparse-view photoacoustic tomography aided by multi-channel autoencoder priors
[Paper] [Code] -
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
[Paper] [Code] [PPT] -
Wavelet-improved Score-based Generative Model for Medical Imaging
[Paper] -
基于分数匹配生成模型的无透镜成像方法
[Paper] [Code] [CIIS 2023-PPT] -
Imaging through scattering media via generative diffusion model
[Paper] [Code]
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Homotopic Gradients of Generative Density Priors for MR Image Reconstruction
[Paper] [Code] [Slide] -
Universal Generative Modeling for Calibration-free Parallel MR Imaging
[Paper] [Code] [Poster] -
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction
[Paper] [Code] [ISMRM_2022_slideliu6] [ISMRM_2022_liu] -
Low-rank Tensor Assisted K-space Generative Model for Parallel Imaging Reconstruction
[Paper] [Code] -
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
[Paper] [Code] -
Physics-Informed DeepMRI: k-Space Interpolation Meets Heat Diffusion
[Paper] -
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
[Paper] [Code] -
Multi-phase FZA lensless imaging via diffusion model
[Paper] [Code] [CIIS 2023-PPT] -
Generative model for sparse photoacoustic tomography artifact removal
[Paper] -
Sparse-view reconstruction for photoacoustic tomography combining diffusion model with model-based iteration
[Paper] [Code] -
High-resolution iterative reconstruction at extremely low sampling rate for Fourier single-pixel imaging via diffusion model
[Paper] [Code]
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One-shot Generative Prior in Hankel-k-space for Parallel Imaging Reconstruction
[Paper] [Code] [PPT] -
One Sample Diffusion Model in Projection Domain for Low-Dose CT Imaging
[Paper] [Code] -
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
[Paper] [Code] [CIIS 2023-PPT]
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Stage-by-stage Wavelet Optimization Refinement Diffusion Model for Sparse-view CT Reconstruction
[Paper] [Code] -
Dual-Domain Collaborative Diffusion Sampling for Multi-Source Stationary Computed Tomography Reconstruction
[Paper] [Code] -
Diffusion Model based on Generalized Map for Accelerated MRI
[Paper] [Code] -
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
[Paper] [Code] -
Partitioned Hankel-based Diffusion Models for Few-shot Low-dose CT Reconstruction
[Paper] [Code] -
Multiple diffusion models-enhanced extremely limited-view reconstruction strategy for photoacoustic tomography boosted by multi-scale priors
[Paper] [Code]
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Correlated and Multi-frequency Diffusion Modeling for Highly Under-sampled MRI Reconstruction
[Paper] [Code] -
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
[Paper] [Code] -
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction
[Paper] [Code] -
Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning
[Paper] -
Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data
[Paper]