1 citations · 2 across the 5 of their papers we have counts for
7 papers
BridgeTwist: Twisting Schrödinger Bridges for Training-Free Conditional Sampling
Mengyu Li, Qianqian Qu, Jun S. Liu
Generative models are often required to serve many downstream conditional tasks. In the training-free setting, a pretrained unconditional model is reused as a prior and combined wi…
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…
Physics-Aware Machine-Learning-Driven Inverse Design of Broadband Ultra-Open Acoustic Metamaterials
Zhiwei Yang, Mengyu Li, Xiaohang Xie +3
Ventilated acoustic silencers combing sound attenuation with high ventilation are pivotal for advanced noise control. However, balancing attenuation, bandwidth, openness, and thick…
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…