Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Liyan, Yu, Shaocong, Zhang, Chi, Ding, Xinghao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
by: Safari, Mojtaba, et al.
Published: (2024)
by: Safari, Mojtaba, et al.
Published: (2024)
Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
by: Pei, Haoyang, et al.
Published: (2025)
by: Pei, Haoyang, et al.
Published: (2025)
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
by: Korkmaz, Yilmaz, et al.
Published: (2023)
by: Korkmaz, Yilmaz, et al.
Published: (2023)
FRN: Fractal-Based Recursive Spectral Reconstruction Network
by: Meng, Ge, et al.
Published: (2025)
by: Meng, Ge, et al.
Published: (2025)
Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
by: Chen, Jingjia, et al.
Published: (2025)
by: Chen, Jingjia, et al.
Published: (2025)
On the Foundation Model for Cardiac MRI Reconstruction
by: Zhang, Chi, et al.
Published: (2024)
by: Zhang, Chi, et al.
Published: (2024)
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI
by: Bubeck, Niklas, et al.
Published: (2025)
by: Bubeck, Niklas, et al.
Published: (2025)
Joint Supervised and Self-supervised Learning for MRI Reconstruction
by: Yiasemis, George, et al.
Published: (2023)
by: Yiasemis, George, et al.
Published: (2023)
A Self-supervised Diffusion Bridge for MRI Reconstruction
by: Gao, Harry, et al.
Published: (2025)
by: Gao, Harry, et al.
Published: (2025)
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
by: Ekanayake, Mevan, et al.
Published: (2023)
by: Ekanayake, Mevan, et al.
Published: (2023)
Self-Supervised Training For Low Dose CT Reconstruction
by: Unal, Mehmet Ozan, et al.
Published: (2020)
by: Unal, Mehmet Ozan, et al.
Published: (2020)
Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
by: Wu, Chenxu, et al.
Published: (2025)
by: Wu, Chenxu, et al.
Published: (2025)
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction
by: Zhang, Liping, et al.
Published: (2023)
by: Zhang, Liping, et al.
Published: (2023)
CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion Model
by: Xing, Yinghui, et al.
Published: (2024)
by: Xing, Yinghui, et al.
Published: (2024)
TomoSelfDEQ: Self-Supervised Deep Equilibrium Learning for Sparse-Angle CT Reconstruction
by: Bubba, Tatiana A., et al.
Published: (2025)
by: Bubba, Tatiana A., et al.
Published: (2025)
DH-Mamba: Exploring Dual-domain Hierarchical State Space Models for MRI Reconstruction
by: Meng, Yucong, et al.
Published: (2025)
by: Meng, Yucong, et al.
Published: (2025)
Guiding Quantitative MRI Reconstruction with Phase-wise Uncertainty
by: Sun, Haozhong, et al.
Published: (2025)
by: Sun, Haozhong, et al.
Published: (2025)
Automatic Cranial Defect Reconstruction with Self-Supervised Deep Deformable Masked Autoencoders
by: Wodzinski, Marek, et al.
Published: (2024)
by: Wodzinski, Marek, et al.
Published: (2024)
Single Image Compressed Sensing MRI via a Self-Supervised Deep Denoising Approach
by: Lorenzana, Marlon Bran, et al.
Published: (2023)
by: Lorenzana, Marlon Bran, et al.
Published: (2023)
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
by: Li, Junyi, et al.
Published: (2024)
by: Li, Junyi, et al.
Published: (2024)
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
by: Meng, Yucong, et al.
Published: (2024)
by: Meng, Yucong, et al.
Published: (2024)
Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI
by: Zhou, Lei, et al.
Published: (2024)
by: Zhou, Lei, et al.
Published: (2024)
Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures
by: Yao, Tianliang, et al.
Published: (2025)
by: Yao, Tianliang, et al.
Published: (2025)
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
by: Guan, Yu, et al.
Published: (2024)
by: Guan, Yu, et al.
Published: (2024)
SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data
by: Benisty, Rotem, et al.
Published: (2024)
by: Benisty, Rotem, et al.
Published: (2024)
Supervised Reconstruction for Silhouette Tomography
by: Bell, Evan, et al.
Published: (2024)
by: Bell, Evan, et al.
Published: (2024)
UEPS: Robust and Efficient MRI Reconstruction
by: Zhou, Xiang, et al.
Published: (2026)
by: Zhou, Xiang, et al.
Published: (2026)
Bayesian Uncertainty-Aware MRI Reconstruction
by: Eldaly, Ahmed Karam, et al.
Published: (2026)
by: Eldaly, Ahmed Karam, et al.
Published: (2026)
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
by: Gaggion, Nicolás, et al.
Published: (2023)
by: Gaggion, Nicolás, et al.
Published: (2023)
Implicit Neural Networks with Fourier-Feature Inputs for Free-breathing Cardiac MRI Reconstruction
by: Kunz, Johannes F., et al.
Published: (2023)
by: Kunz, Johannes F., et al.
Published: (2023)
SynStitch: a Self-Supervised Learning Network for Ultrasound Image Stitching Using Synthetic Training Pairs and Indirect Supervision
by: Yao, Xing, et al.
Published: (2024)
by: Yao, Xing, et al.
Published: (2024)
MDPG: Multi-domain Diffusion Prior Guidance for MRI Reconstruction
by: Zhang, Lingtong, et al.
Published: (2025)
by: Zhang, Lingtong, et al.
Published: (2025)
Adaptive Mask-guided K-space Diffusion for Accelerated MRI Reconstruction
by: Cai, Qinrong, et al.
Published: (2025)
by: Cai, Qinrong, et al.
Published: (2025)
Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction
by: Fan, Linyu, et al.
Published: (2025)
by: Fan, Linyu, et al.
Published: (2025)
FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI
by: Han, Namgyu, et al.
Published: (2026)
by: Han, Namgyu, et al.
Published: (2026)
Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI
by: Qiu, Shihan, et al.
Published: (2024)
by: Qiu, Shihan, et al.
Published: (2024)
Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization
by: Zhang, Keyang, et al.
Published: (2025)
by: Zhang, Keyang, et al.
Published: (2025)
Lite-FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image
by: Rumala, Dewinda Julianensi, et al.
Published: (2024)
by: Rumala, Dewinda Julianensi, et al.
Published: (2024)
Self-Supervised Contrastive Learning for Cardiac MR Sequence Classification
by: Wang, Yuli, et al.
Published: (2026)
by: Wang, Yuli, et al.
Published: (2026)
Similar Items
-
Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
by: Safari, Mojtaba, et al.
Published: (2024) -
Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
by: Zhang, Hao, et al.
Published: (2025) -
Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI
by: Pei, Haoyang, et al.
Published: (2025) -
Self-Supervised MRI Reconstruction with Unrolled Diffusion Models
by: Korkmaz, Yilmaz, et al.
Published: (2023) -
FRN: Fractal-Based Recursive Spectral Reconstruction Network
by: Meng, Ge, et al.
Published: (2025)