Copertina

Hybrid Learning: A Novel Combination of Self-Supervised and Supervised Learning for Joint MRI Reconstruction and Denoising in Low-Field MRI

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pei, Haoyang, Janjuvsevic, Nikola, Luo, Renqing, Xia, Ding, Xu, Xiang, Moore, William, Wang, Yao, Chandarana, Hersh, Feng, Li
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Self-Supervised Joint Reconstruction and Denoising of T2-Weighted PROPELLER MRI of the Lungs at 0.55T
di: Chen, Jingjia, et al.
Pubblicazione: (2025)

Self-Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning
di: Janjušević, Nikola, et al.
Pubblicazione: (2025)

Self‐Supervised Joint Reconstruction and Denoising of T2 ‐Weighted PROPELLER MRI of the Lung at 0.55T
di: Jingjia Chen, et al.
Pubblicazione: (2025)

Learned Primal Dual Splitting for Self-Supervised Noise-Adaptive MRI Reconstruction
di: Janjusevic, Nikola, et al.
Pubblicazione: (2025)

Joint Supervised and Self-supervised Learning for MRI Reconstruction
di: Yiasemis, George, et al.
Pubblicazione: (2023)

Self‐Supervised Noise Adaptive MRI Denoising via Repetition to Repetition (Rep2Rep) Learning
di: Nikola Janjušević, et al.
Pubblicazione: (2025)

Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
di: Wang, Andrew, et al.
Pubblicazione: (2025)

SPICER: Self-Supervised Learning for MRI with Automatic Coil Sensitivity Estimation and Reconstruction
di: Hu, Yuyang, et al.
Pubblicazione: (2022)

Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
di: Janjušević, Nikola, et al.
Pubblicazione: (2025)

Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
di: Sun, Liyan, et al.
Pubblicazione: (2025)

CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
di: Ekanayake, Mevan, et al.
Pubblicazione: (2023)

Multisession Longitudinal Dynamic MRI Incorporating Patient-Specific Prior Image Information Across Time
di: Chen, Jingjia, et al.
Pubblicazione: (2025)

Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
di: Wu, Chenxu, et al.
Pubblicazione: (2025)

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

Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
di: Li, Zhiyuan, et al.
Pubblicazione: (2023)

Self-Supervised Adversarial Diffusion Models for Fast MRI Reconstruction
di: Safari, Mojtaba, et al.
Pubblicazione: (2024)

FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network
di: Jacobs, Luuk, et al.
Pubblicazione: (2024)

Self-Supervised Learning for Improved Calibrationless Radial MRI with NLINV-Net
di: Blumenthal, Moritz, et al.
Pubblicazione: (2024)

Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
di: Xu, Siying, et al.
Pubblicazione: (2026)

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

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

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

Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
di: Zhang, Hao, et al.
Pubblicazione: (2025)

Learning Scan-Adaptive MRI Undersampling Patterns with Pre-Optimized Mask Supervision
di: Dhar, Aryan, et al.
Pubblicazione: (2025)

Ultra-Strong Gradient Diffusion MRI with Self-Supervised Learning for Prostate Cancer Characterization
di: Patil, Tanishq, et al.
Pubblicazione: (2025)

SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS
di: Jun, Yohan, et al.
Pubblicazione: (2023)

Sparsity-Driven Parallel Imaging Consistency for Improved Self-Supervised MRI Reconstruction
di: Alçalar, Yaşar Utku, et al.
Pubblicazione: (2025)

Self-Supervised Denoiser Framework
di: Valat, Emilien, et al.
Pubblicazione: (2024)

SIMPLE: Simultaneous Multi-Plane Self-Supervised Learning for Isotropic MRI Restoration from Anisotropic Data
di: Benisty, Rotem, et al.
Pubblicazione: (2024)

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

Score-based Self-supervised MRI Denoising
di: Tu, Jiachen, et al.
Pubblicazione: (2025)

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction
di: Zheng, Zhiting, et al.
Pubblicazione: (2025)

MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
di: Shafique, Muhammad, et al.
Pubblicazione: (2023)

Self-Supervised Training For Low Dose CT Reconstruction
di: Unal, Mehmet Ozan, et al.
Pubblicazione: (2020)

Learning to Recorrupt: Noise Distribution Agnostic Self-Supervised Image Denoising
di: Monroy, Brayan, et al.
Pubblicazione: (2026)

Accelerated Abdominal MRI: A Review of Current Methods and Applications
di: Li Feng, et al.
Pubblicazione: (2025)

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation
di: Qayyum, Abdul, et al.
Pubblicazione: (2024)

Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI
di: Zhang, Lintao, et al.
Pubblicazione: (2024)

Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction
di: Cai, Yue, et al.
Pubblicazione: (2024)

Respiratory Motion Management in Abdominal MRI: Revisiting the Gap Between Technical Advances and Clinical Translation
di: Feng, Li, et al.
Pubblicazione: (2026)