1 citations · 2 across the 6 of their papers we have counts for
6 papers
NeuroBridge: Bridging Multi-Task MRI Knowledge for Neurodegenerative Disease Diagnosis
Mengyu Li, Guoyao Shen, Chad W. Farris +1
Accurate MRI-based identification of Alzheimer's disease (AD), mild cognitive impairment (MCI), and related dementias remains challenging because disease-related structural changes…
Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks
Mengyu Li, Guoyao Shen, Chad W. Farris +1
Machine learning using transformers has shown great potential in medical imaging, but its real-world applicability remains limited due to the scarcity of annotated data. In this st…
Magnetic Resonance Image Processing Transformer for General Accelerated Image Reconstruction
Guoyao Shen, Mengyu Li, Stephan Anderson +2
Recent advancements in deep learning have enabled the development of generalizable models that achieve state-of-the-art performance across various imaging tasks. Vision Transformer…
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without Noise
Guoyao Shen, Mengyu Li, Chad W. Farris +2
Deep learning-based MRI reconstruction models have achieved superior performance these days. Most recently, diffusion models have shown remarkable performance in image generation,…
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
Guoyao Shen, Yancheng Zhu, Mengyu Li +6
Recent advances in MRI reconstruction have demonstrated remarkable success through deep learning-based models. However, most existing methods rely heavily on large-scale, task-spec…
Attention Hybrid Variational Net for Accelerated MRI Reconstruction
Guoyao Shen, Boran Hao, Mengyu Li +4
The application of compressed sensing (CS)-enabled data reconstruction for accelerating magnetic resonance imaging (MRI) remains a challenging problem. This is due to the fact that…