Cover Image

INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Arefeen, Yamin, Levac, Brett, Stoebner, Zach, Tamir, Jonathan
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generative Diffusion Model to Solve Inverse Problems for Robust in-NICU Neonatal MRI
by: Arefeen, Yamin, et al.
Published: (2024)

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI
by: Arefeen, Yamin, et al.
Published: (2025)

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
by: Ravula, Sriram, et al.
Published: (2023)

Robust multi-coil MRI reconstruction via self-supervised denoising
by: Aali, Asad, et al.
Published: (2024)

Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning
by: Arefeen, Yamin, et al.
Published: (2026)

Normalization-equivariant Diffusion Models: Learning Posterior Samplers From Noisy And Partial Measurements
by: Levac, Brett, et al.
Published: (2025)

Double Blind Imaging with Generative Modeling
by: Levac, Brett, et al.
Published: (2025)

ReLUs Are Sufficient for Learning Implicit Neural Representations
by: Shenouda, Joseph, et al.
Published: (2024)

MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
by: Bangun, Arya, et al.
Published: (2024)

Physics informed guided diffusion for accelerated multi-parametric MRI reconstruction
by: Mayo, Perla, et al.
Published: (2025)

Linearly Constrained Diffusion Implicit Models
by: Jayaram, Vivek, et al.
Published: (2024)

PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
by: Spieker, Veronika, et al.
Published: (2025)

Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
by: Spieker, Veronika, et al.
Published: (2024)

Accelerating 4D Hyperspectral Imaging through Physics-Informed Neural Representation and Adaptive Sampling
by: Ho, Chi-Jui, et al.
Published: (2026)

PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior
by: Guo, Wenhan, et al.
Published: (2025)

Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
by: Aali, Asad, et al.
Published: (2023)

Product of Gaussian Mixture Diffusion Model for non-linear MRI Inversion
by: Nagler, Laurenz, et al.
Published: (2025)

High Volume Rate 3D Ultrasound Reconstruction with Diffusion Models
by: Stevens, Tristan S. W., et al.
Published: (2025)

Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS
by: Jun, Yohan, et al.
Published: (2023)

Low-Rank Augmented Implicit Neural Representation for Unsupervised High-Dimensional Quantitative MRI Reconstruction
by: Zhang, Haonan, et al.
Published: (2025)

Physics-Aware Neural Operators for Direct Inversion in 3D Photoacoustic Tomography
by: Wang, Jiayun, et al.
Published: (2025)

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction
by: Jiang, Wei, et al.
Published: (2023)

Diffusion Representation for Asymmetric Kernels
by: Gomez, Alvaro Almeida, et al.
Published: (2024)

Plug-and-Play Regularization on Magnitude with Deep Priors for 3D Near-Field MIMO Imaging
by: Oral, Okyanus, et al.
Published: (2023)

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI
by: Odeback, Oliver Welin, et al.
Published: (2025)

Subspace Implicit Neural Representations for Real-Time Cardiac Cine MR Imaging
by: Huang, Wenqi, et al.
Published: (2024)

CSR-dMRI: Continuous Super-Resolution of Diffusion MRI with Anatomical Structure-assisted Implicit Neural Representation Learning
by: Wu, Ruoyou, et al.
Published: (2024)

A Novel Vascular Risk Scoring Framework for Quantifying Sex-Specific Cerebral Perfusion from 3D pCASL MRI
by: Noble, Sneha, et al.
Published: (2025)

Reconstructing physiological signals from fMRI across the adult lifespan
by: Wang, Shiyu, et al.
Published: (2024)

Enhancing Brain Source Reconstruction by Initializing 3D Neural Networks with Physical Inverse Solutions
by: Morik, Marco, et al.
Published: (2024)

Adapting HFMCA to Graph Data: Self-Supervised Learning for Generalizable fMRI Representations
by: Frac, Jakub, et al.
Published: (2025)

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations
by: Hemidi, Ziad Al-Haj, et al.
Published: (2024)

Enhancing Brain Age Estimation with a Multimodal 3D CNN Approach Combining Structural MRI and AI-Synthesized Cerebral Blood Volume Measures
by: Jomsky, Jordan, et al.
Published: (2024)

Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI
by: Nan, Mu, et al.
Published: (2025)

Conditional Diffusion Models for Semantic 3D Brain MRI Synthesis
by: Dorjsembe, Zolnamar, et al.
Published: (2023)

Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation
by: Krainovic, Anselm, et al.
Published: (2024)

FUTON: Fourier Tensor Network for Implicit Neural Representations
by: Ashtari, Pooya, et al.
Published: (2026)

Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025)

Score-based Generative Diffusion Models to Synthesize Full-dose FDG Brain PET from MRI in Epilepsy Patients
by: Wu, Jiaqi, et al.
Published: (2025)

Triggering hallucinations in model-based MRI reconstruction via adversarial perturbations
by: Buğday, Suna, et al.
Published: (2026)