Imagen de Portada

SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Puyang, Guo, Pengfei, Chai, Keyi, Zhou, Jinyuan, Xu, Daguang, Jiang, Shanshan
Formato:	Preprint
Publicado:	2025
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
por: Zhu, Yuliang, et al.
Publicado: (2025)

Robust MRI Reconstruction by Smoothed Unrolling (SMUG)
por: Liang, Shijun, et al.
Publicado: (2023)

Joint PET-MRI Reconstruction with Diffusion Stochastic Differential Model
por: Xie, Taofeng, et al.
Publicado: (2024)

Self-supervised Deep Unrolled Model with Implicit Neural Representation Regularization for Accelerating MRI Reconstruction
por: Xu, Jingran, et al.
Publicado: (2025)

Neural Residual Diffusion Models for Deep Scalable Vision Generation
por: Ma, Zhiyuan, et al.
Publicado: (2024)

USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
por: Li, Moyang, et al.
Publicado: (2023)

Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
por: Mao, Jiawei, et al.
Publicado: (2025)

Enhanced Velocity Field Modeling for Gaussian Video Reconstruction
por: Li, Zhenyang, et al.
Publicado: (2025)

Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
por: Zhang, Xu, et al.
Publicado: (2025)

Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping
por: Li, Jiajia, et al.
Publicado: (2025)

Time-Embedded Algorithm Unrolling for Computational MRI
por: Yun, Junno, et al.
Publicado: (2025)

SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
por: Rapuri, Sampath, et al.
Publicado: (2026)

Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
por: Choi, Kyungmin, et al.
Publicado: (2025)

UPCMR: A Universal Prompt-guided Model for Random Sampling Cardiac MRI Reconstruction
por: Lyu, Donghang, et al.
Publicado: (2025)

SynthRAR: Ring Artifacts Reduction in CT with Unrolled Network and Synthetic Data Training
por: Yang, Hongxu, et al.
Publicado: (2026)

CRUNet-MR-Univ: A Foundation Model for Diverse Cardiac MRI Reconstruction
por: Lyu, Donghang, et al.
Publicado: (2026)

On the Utility of Foundation Models for Fast MRI: Vision-Language-Guided Image Reconstruction
por: Feng, Ruimin, et al.
Publicado: (2025)

Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI
por: Wang, Yinsong, et al.
Publicado: (2026)

Lemon: A Unified and Scalable 3D Multimodal Model for Universal Spatial Understanding
por: Liang, Yongyuan, et al.
Publicado: (2025)

Unrolled Networks are Conditional Probability Flows in MRI Reconstruction
por: Qi, Kehan, et al.
Publicado: (2025)

MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
por: Mao, Jiawei, et al.
Publicado: (2025)

Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction
por: Wang, Haonan, et al.
Publicado: (2025)

Automated Multi-label Classification of Eleven Retinal Diseases: A Benchmark of Modern Architectures and a Meta-Ensemble on a Large Synthetic Dataset
por: Cao-Xue, Jerry, et al.
Publicado: (2025)

M-Gaussian: An Magnetic Gaussian Framework for Efficient Multi-Stack MRI Reconstruction
por: Zheng, Kangyuan, et al.
Publicado: (2026)

UnSCAR: Universal, Scalable, Controllable, and Adaptable Image Restoration
por: Mandal, Debabrata, et al.
Publicado: (2026)

UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation
por: Li, Xingyuan, et al.
Publicado: (2026)

Self-Consistent Nested Diffusion Bridge for Accelerated MRI Reconstruction
por: Song, Tao, et al.
Publicado: (2024)

KP-INR: A Dual-Branch Implicit Neural Representation Model for Cardiac Cine MRI Reconstruction
por: Lyu, Donghang, et al.
Publicado: (2025)

OmniMRI: A Unified Vision--Language Foundation Model for Generalist MRI Interpretation
por: He, Xingxin, et al.
Publicado: (2025)

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction
por: Tian, Keyu, et al.
Publicado: (2024)

Scalable Cloud-Native Pipeline for Efficient 3D Model Reconstruction from Monocular Smartphone Images
por: Aghilar, Potito, et al.
Publicado: (2024)

Advancing MRI Reconstruction: A Systematic Review of Deep Learning and Compressed Sensing Integration
por: Safari, Mojtaba, et al.
Publicado: (2025)

Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
por: Korkmaz, Yilmaz, et al.
Publicado: (2023)

DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers
por: Shi, Minglei, et al.
Publicado: (2025)

OrthoDiffusion: A Generalizable Multi-Task Diffusion Foundation Model for Musculoskeletal MRI Interpretation
por: Lan, Tian, et al.
Publicado: (2026)

FloorSAM: SAM-Guided Floorplan Reconstruction with Semantic-Geometric Fusion
por: Ye, Han, et al.
Publicado: (2025)

ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion
por: Liu, Junming, et al.
Publicado: (2025)

Dynamic Universal Approximation Theory: The Basic Theory for Deep Learning-Based Computer Vision Models
por: Wang, Wei, et al.
Publicado: (2024)

Deep Unfolded BM3D: Unrolling Non-local Collaborative Filtering into a Trainable Neural Network
por: Basim, Kerem, et al.
Publicado: (2025)

Dual-domain Multi-path Self-supervised Diffusion Model for Accelerated MRI Reconstruction
por: Zhang, Yuxuan, et al.
Publicado: (2025)