54 citations · 67 across the 8 of their papers we have counts for
11 papers · 1 filter
Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI
Qing Lyu, Jianxu Wang, Mohammad Kawas +2
Accelerated magnetic resonance imaging reduces acquisition time, but reconstruction from undersampled k-space can blur diagnostically relevant structures or introduce failures that…
RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
Jianxu Wang, Qing Lyu, Ge Wang
Low-dose CT (LDCT) denoising remains an important yet challenging problem in medical imaging. Although recent learning-based methods have shown promising performance, those optimiz…
MRI-to-CT synthesis using drifting models
Qing Lyu, Jianxu Wang, Jeremy Hudson +2
Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with bone details while avoiding additional ionizing radiation. In this work, we inve…
Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study
Qing Lyu, Jin Young Kim, Jeongchul Kim +1
Beta-amyloid positron emission tomography (A-PET) imaging has become a critical tool in Alzheimer's disease (AD) research and diagnosis, providing insights into the pathological…
Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models
Qing Lyu, Josh Tan, Megan E. Lipford +6
Iodinated contrast media is essential for dual-energy computed tomography (DECT) angiography. Previous studies show that iodinated contrast media may cause side effects, and the in…
Specialty-Oriented Generalist Medical AI for Chest CT Screening
Chuang Niu, Qing Lyu, Christopher D. Carothers +6
Modern medical records include a vast amount of multimodal free text clinical data and imaging data from radiology, cardiology, and digital pathology. Fully mining such big data re…