Cover Image

Imaging Transformer for MRI Denoising: a Scalable Model Architecture that enables SNR << 1 Imaging

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Hui, Hooper, Sarah M., Davies, Rhodri H., Treibel, Thomas A., Pierce, Iain, Stairs, John, Naegele, Joseph, Manisty, Charlotte, Moon, James C., Campbell-Washburn, Adrienne E., Kellman, Peter, Hansen, Michael S.
Format:	Preprint
Published:	2025
Subjects:	Image and Video Processing Signal Processing Medical Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
by: Xue, Hui, et al.
Published: (2025)

Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomy
by: Xue, Hui, et al.
Published: (2024)

PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging
by: Atalik, Arda, et al.
Published: (2026)

Inline AI: Open-source Deep Learning Inference for Cardiac MR
by: Xue, Hui, et al.
Published: (2024)

A versatile foundation model for cine cardiac magnetic resonance image analysis tasks
by: Fu, Yunguan, et al.
Published: (2025)

Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation
by: Zhao, Yidong, et al.
Published: (2024)

Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI
by: Lei, Xuan, et al.
Published: (2024)

Recurrent Inference Machine for Medical Image Registration
by: Zhang, Yi, et al.
Published: (2024)

Mixed Graph Signal Analysis of Joint Image Denoising / Interpolation
by: Viswarupan, Niruhan, et al.
Published: (2023)

Systematic Evaluation of Wavelet-Based Denoising for MRI Brain Images: Optimal Configurations and Performance Benchmarks
by: Rahman, Asadullah Bin, et al.
Published: (2025)

Denoising Designs-inherited Search Framework for Image Denoising
by: Zhang, Zheyu, et al.
Published: (2025)

Neuromorphic Imaging with Joint Image Deblurring and Event Denoising
by: Zhang, Pei, et al.
Published: (2023)

SoundSil-DS: Deep Denoising and Segmentation of Sound-field Images with Silhouettes
by: Tanigawa, Risako, et al.
Published: (2024)

SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification
by: Waqas, Ali, et al.
Published: (2025)

Averaged Deep Denoisers for Image Regularization
by: Nair, Pravin, et al.
Published: (2022)

Wavefield Correlation Imaging in Arbitrary Media with Inherent Aberration Correction
by: Schoen Jr, Scott, et al.
Published: (2025)

Physics-augmented Deep Learning with Adversarial Domain Adaptation: Applications to STM Image Denoising
by: Xie, Jianxin, et al.
Published: (2024)

Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images
by: Deng, Zeyun, et al.
Published: (2025)

Weakly-Convex Regularization for Magnetic Resonance Image Denoising
by: Prabakar, Akash, et al.
Published: (2025)

Equivariant Denoisers for Plug and Play Image Restoration
by: Renaud, Marien, et al.
Published: (2025)

A Novel Approach to Ultrasound Beamforming using Synthetic Transmit Aperture with Low Complexity and High SNR for Medical Imaging
by: Elango, Thenmozhi, et al.
Published: (2024)

Self-supervised Deep Learning for Denoising in Ultrasound Microvascular Imaging
by: Huang, Lijie, et al.
Published: (2025)

Array SAR 3D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data
by: Wang, Yangyang, et al.
Published: (2024)

SNR-Progressive Model with Harmonic Compensation for Low-SNR Speech Enhancement
by: Hou, Zhongshu, et al.
Published: (2024)

Connecting Image Inpainting with Denoising in the Homogeneous Diffusion Setting
by: Gaa, Daniel, et al.
Published: (2023)

GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention
by: Janjusevic, Nikola, et al.
Published: (2024)

Geometric Spatio-Spectral Total Variation for Hyperspectral Image Denoising and Destriping
by: Takemoto, Shingo, et al.
Published: (2025)

Inference Stage Denoising for Undersampled MRI Reconstruction
by: Xue, Yuyang, et al.
Published: (2024)

Transformer-based Learned Image Compression for Joint Decoding and Denoising
by: Chen, Yi-Hsin, et al.
Published: (2024)

GAN-Based Architecture for Low-dose Computed Tomography Imaging Denoising
by: Wang, Yunuo, et al.
Published: (2024)

Compressed Image Generation with Denoising Diffusion Codebook Models
by: Ohayon, Guy, et al.
Published: (2025)

Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)

Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping
by: Takemoto, Shingo, et al.
Published: (2024)

GAN-Based Speech Enhancement for Low SNR Using Latent Feature Conditioning
by: Shetu, Shrishti Saha, et al.
Published: (2024)

Well-Designed k-Space Coverage is Important for Good MRI Denoising
by: Wang, Jiayang, et al.
Published: (2025)

Complex Image-Generative Diffusion Transformer for Audio Denoising
by: Li, Junhui, et al.
Published: (2024)

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
by: Tachella, Julián, et al.
Published: (2020)

YOND: Practical Blind Raw Image Denoising Free from Camera-Specific Data Dependency
by: Feng, Hansen, et al.
Published: (2025)

Expectation-maximization for low-SNR multi-reference alignment
by: Balanov, Amnon, et al.
Published: (2025)

A CT Image Denoising Method with Residual Encoder-Decoder Network
by: Shawn, Helena, et al.
Published: (2024)