CogGen: Cognitive-Load-Informed Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Qingyong, Tan, Yumin, Gu, Xiang, Liang, Dong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised patch-based dynamic MRI reconstruction using learnable tensor function with implicit neural representation
by: Liu, Yuanyuan, et al.
Published: (2025)
by: Liu, Yuanyuan, et al.
Published: (2025)
MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model
by: Zhao, Ting, et al.
Published: (2024)
by: Zhao, Ting, et al.
Published: (2024)
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
by: Eichhorn, Hannah, et al.
Published: (2024)
by: Eichhorn, Hannah, et al.
Published: (2024)
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
by: Wang, Andrew, et al.
Published: (2024)
by: Wang, Andrew, et al.
Published: (2024)
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
by: Shafique, Muhammad, et al.
Published: (2023)
by: Shafique, Muhammad, et al.
Published: (2023)
Robust Physics-based Deep MRI Reconstruction Via Diffusion Purification
by: Alkhouri, Ismail, et al.
Published: (2023)
by: Alkhouri, Ismail, et al.
Published: (2023)
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction
by: Xu, Shuo, et al.
Published: (2023)
by: Xu, Shuo, et al.
Published: (2023)
UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)
by: Luo, Xinzhe, et al.
Published: (2025)
Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching
by: Luo, Xinzhe, et al.
Published: (2025)
by: Luo, Xinzhe, et al.
Published: (2025)
An Unsupervised Reconstruction Method For Low-Dose CT Using Deep Generative Regularization Prior
by: Unal, Mehmet Ozan, et al.
Published: (2020)
by: Unal, Mehmet Ozan, et al.
Published: (2020)
DUN-SRE: Deep Unrolling Network with Spatiotemporal Rotation Equivariance for Dynamic MRI Reconstruction
by: Zhu, Yuliang, et al.
Published: (2025)
by: Zhu, Yuliang, et al.
Published: (2025)
LINEAR: Learning Implicit Neural Representation With Explicit Physical Priors for Accelerated Quantitative T1rho Mapping
by: Liu, Yuanyuan, et al.
Published: (2024)
by: Liu, Yuanyuan, et al.
Published: (2024)
Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models
by: Ravula, Sriram, et al.
Published: (2023)
by: Ravula, Sriram, et al.
Published: (2023)
Deep Unsupervised Learning for 3D ALS Point Cloud Change Detection
by: de Gélis, Iris, et al.
Published: (2023)
by: de Gélis, Iris, et al.
Published: (2023)
Sampling-Pattern-Agnostic MRI Reconstruction through Adaptive Consistency Enforcement with Diffusion Model
by: Malyala, Anurag, et al.
Published: (2024)
by: Malyala, Anurag, et al.
Published: (2024)
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion Models
by: Liu, Jin, et al.
Published: (2025)
by: Liu, Jin, et al.
Published: (2025)
Noisy MRI Reconstruction via MAP Estimation with an Implicit Deep-Denoiser Prior
by: Janjušević, Nikola, et al.
Published: (2025)
by: Janjušević, Nikola, et al.
Published: (2025)
Implicit Neural Representation-Based MRI Reconstruction Method with Sensitivity Map Constraints
by: Rao, Lixuan, et al.
Published: (2025)
by: Rao, Lixuan, et al.
Published: (2025)
UEPS: Robust and Efficient MRI Reconstruction
by: Zhou, Xiang, et al.
Published: (2026)
by: Zhou, Xiang, et al.
Published: (2026)
Spatiotemporal Maps for Dynamic MRI Reconstruction
by: Lobos, Rodrigo A., et al.
Published: (2025)
by: Lobos, Rodrigo A., et al.
Published: (2025)
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction
by: Hong, Tao, et al.
Published: (2024)
by: Hong, Tao, et al.
Published: (2024)
A Convergent Generalized Krylov Subspace Method for Compressed Sensing MRI Reconstruction with Gradient-Driven Denoisers
by: Hong, Tao, et al.
Published: (2025)
by: Hong, Tao, et al.
Published: (2025)
CloudBrain-ReconAI: An Online Platform for MRI Reconstruction and Image Quality Evaluation
by: Zhou, Yirong, et al.
Published: (2022)
by: Zhou, Yirong, et al.
Published: (2022)
Motion-Robust Deep Reconstruction for Free-Breathing Cardiac Cine MRI
by: Yurt, Mahmut, et al.
Published: (2026)
by: Yurt, Mahmut, et al.
Published: (2026)
INR meets Multi-Contrast MRI Reconstruction
by: Niessen, Natascha, et al.
Published: (2025)
by: Niessen, Natascha, et al.
Published: (2025)
Dynamic MRI Reconstruction Via Dual Deep Priors and Low-Rank Plus Sparse Modeling
by: Sun, Yongliang, et al.
Published: (2026)
by: Sun, Yongliang, et al.
Published: (2026)
Fire in SRRN: Next-Gen 3D Temperature Field Reconstruction Technology
by: Feng, Shenxiang, et al.
Published: (2024)
by: Feng, Shenxiang, et al.
Published: (2024)
DARCS: Memory-Efficient Deep Compressed Sensing Reconstruction for Acceleration of 3D Whole-Heart Coronary MR Angiography
by: Xue, Zhihao, et al.
Published: (2024)
by: Xue, Zhihao, et al.
Published: (2024)
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
by: Hamedani, Kian Anvari, et al.
Published: (2024)
by: Hamedani, Kian Anvari, et al.
Published: (2024)
Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS
by: Jun, Yohan, et al.
Published: (2023)
by: Jun, Yohan, et al.
Published: (2023)
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
by: Koyuncu, Esin, et al.
Published: (2023)
by: Koyuncu, Esin, et al.
Published: (2023)
Confidence Estimation in Unsupervised Deep Change Vector Analysis
by: Saha, Sudipan
Published: (2024)
by: Saha, Sudipan
Published: (2024)
Deep Learning for Accelerated and Robust MRI Reconstruction: a Review
by: Heckel, Reinhard, et al.
Published: (2024)
by: Heckel, Reinhard, et al.
Published: (2024)
Sequential Diffusion-Guided Deep Image Prior For Medical Image Reconstruction
by: Liang, Shijun, et al.
Published: (2024)
by: Liang, Shijun, et al.
Published: (2024)
BVI-AOM: A New Training Dataset for Deep Video Compression Optimization
by: Nawała, Jakub, et al.
Published: (2024)
by: Nawała, Jakub, et al.
Published: (2024)
Compressive Sensing Photoacoustic Imaging Receiver with Matrix-Vector-Multiplication SAR ADC
by: Liao, Huan-Cheng, et al.
Published: (2025)
by: Liao, Huan-Cheng, et al.
Published: (2025)
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
by: Babu, Silpa, et al.
Published: (2022)
by: Babu, Silpa, et al.
Published: (2022)
Fast Low Rank column-wise Compressive Sensing for Accelerated Dynamic MRI
by: Babu, Silpa, et al.
Published: (2022)
by: Babu, Silpa, et al.
Published: (2022)
ShiftLIC: Lightweight Learned Image Compression with Spatial-Channel Shift Operations
by: Bao, Youneng, et al.
Published: (2025)
by: Bao, Youneng, et al.
Published: (2025)
Guided MRI Reconstruction via Schrödinger Bridge
by: Wang, Yue, et al.
Published: (2024)
by: Wang, Yue, et al.
Published: (2024)
Similar Items
-
Unsupervised patch-based dynamic MRI reconstruction using learnable tensor function with implicit neural representation
by: Liu, Yuanyuan, et al.
Published: (2025) -
MR Optimized Reconstruction of Simultaneous Multi-Slice Imaging Using Diffusion Model
by: Zhao, Ting, et al.
Published: (2024) -
Physics-Informed Deep Learning for Motion-Corrected Reconstruction of Quantitative Brain MRI
by: Eichhorn, Hannah, et al.
Published: (2024) -
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
by: Wang, Andrew, et al.
Published: (2024) -
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
by: Shafique, Muhammad, et al.
Published: (2023)