Multi-Contrast Super-Resolution MRI Through a Progressive Network. - Qing Lyu 003; Hongming Shan; Ge Wang 001 (CoRR, 2019)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Debiao Li; Ge Wang 001 (CoRR, 2020)

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. - Yueyang Teng; Shouliang Qi; Fangfang Han; Yudong Yao; Fenglei Fan; Qing Lyu 003; Ge Wang 001 (Neurocomputing, 2020)

MRI Super-Resolution With Ensemble Learning and Complementary Priors. - Qing Lyu 003; Hongming Shan; Ge Wang 001 (IEEE Trans. Computational Imaging, 2020)

Multi-Contrast Super-Resolution MRI Through a Progressive Network. - Qing Lyu 003; Hongming Shan; Cole Steber; Corbin Helis; Chris Whitlow; Michael D. Chan; Ge Wang 001 (IEEE Trans. Medical Imaging, 2020)

Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. - Qing Lyu 003; Hongming Shan; Yibin Xie; Alan C. Kwan; Yuka Otaki; Keiichiro Kuronuma; Debiao Li; Ge Wang 001 (IEEE Trans. Medical Imaging, 2021)

SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. - Qing Lyu 003; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2022)

Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models. - Qing Lyu 003; Ge Wang 001 (CoRR, 2022)

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$ times$ Speedup. - Wenjun Xia; Qing Lyu 003; Ge Wang 001 (CoRR, 2022)

A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. - Qing Lyu 003; 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; et al. (Patterns, 2022)

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Ge Wang 001; Kyle J. Myers; Christopher T. Whitlow (CoRR, 2023)

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Kyle J. Myers; Ge Wang 001; Christopher T. Whitlow (Vis. Comput. Ind. Biomed. Art, 2023)

Noise Suppression With Similarity-Based Self-Supervised Deep Learning. - Chuang Niu; Mengzhou Li; Fenglei Fan; Weiwen Wu; Xiaodong Guo; Qing Lyu 003; Ge Wang 001 (IEEE Trans. Medical Imaging, 2023)

Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study. - Qing Lyu 003; Jin Young Kim; Jeongchul Kim; Christopher T. Whitlow (CoRR, 2024)

Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. - Chuang Niu; Parisa Kaviani; Qing Lyu 003; Mannudeep K. Kalra; Christopher T. Whitlow; Ge Wang 001 (CoRR, 2024)

Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach. - Zhen Lin; Hongyu Yuan; Richard Barcus; Qing Lyu 003; Sucheta Chakravarty; Megan E. Lipford; Carol A. Shively; Suzanne Craft; Mohammad Kawas; Jeongchul Kim; Christopher T. Whitlow (CoRR, 2025)