356 citations · 556 across the 9 of their papers we have counts for
10 papers
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…
MCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer's Disease Imaging
Jin Young Kim, Jeremy Hudson, Jeongchul Kim +2
Tau positron emission tomography (PET) is a critical diagnostic modality for Alzheimer's disease (AD), but its widespread clinical adoption is hindered by radiation exposure, limit…
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…
Development and Validation of a Large Language Model for Generating Fully-Structured Radiology Reports
Chuang Niu, Md Sayed Tanveer, Md Zabirul Islam +5
Current LLMs for creating fully-structured reports face the challenges of formatting errors, content hallucinations, and privacy leakage issues when uploading data to external serv…
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…
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential
Qing Lyu, Josh Tan, Michael E. Zapadka +5
The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility…
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis
Qing Lyu, Christopher T. Whitlow, Ge Wang
Recently, deep learning has achieved remarkable successes in medical image analysis. Although deep neural networks generate clinically important predictions, they have inherent unc…
A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI
Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre +17
Treatment decisions for brain metastatic disease rely on knowledge of the primary organ site, and currently made with biopsy and histology. Here we develop a novel deep learning ap…
Multi-Contrast Super-Resolution MRI Through a Progressive Network
Qing Lyu, Hongming Shan, Ge Wang
Magnetic resonance imaging (MRI) is widely used for screening, diagnosis, image-guided therapy, and scientific research. A significant advantage of MRI over other imaging modalitie…