Qing Lyu

According to our database, Qing Lyu authored at least 15 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model.

Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang

CoRR, 2024

Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study.

Qing Lyu, Jin Young Kim, Jeongchul Kim, Christopher T. Whitlow

CoRR, 2024

2023

Noise Suppression With Similarity-Based Self-Supervised Deep Learning.

Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang

IEEE Trans. Medical Imaging, June, 2023

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.

Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow

Vis. Comput. Ind. Biomed. Art, 2023

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, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow

CoRR, 2023

2022

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images.

Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow

Patterns, 2022

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup.

Wenjun Xia, Qing Lyu, Ge Wang

CoRR, 2022

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models.

Qing Lyu, Ge Wang

CoRR, 2022

SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis.

Qing Lyu, Christopher T. Whitlow, Ge Wang

CoRR, 2022

2021

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang

IEEE Trans. Medical Imaging, 2021

2020

Multi-Contrast Super-Resolution MRI Through a Progressive Network.

Qing Lyu, Hongming Shan, Cole Steber, Corbin Helis, Chris Whitlow, Michael D. Chan, Ge Wang

IEEE Trans. Medical Imaging, 2020

MRI Super-Resolution With Ensemble Learning and Complementary Priors.

Qing Lyu, Hongming Shan, Ge Wang

IEEE Trans. Computational Imaging, 2020

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.

Yueyang Teng, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan, Qing Lyu, Ge Wang

Neurocomputing, 2020

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network.

Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang

CoRR, 2020

2019

Multi-Contrast Super-Resolution MRI Through a Progressive Network.

Qing Lyu, Hongming Shan, Ge Wang

CoRR, 2019