Qing Lyu - RankMe

20 papers Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer's Disease Imaging. CoRR Jin Young Kim, Jeremy Hudson, Jeongchul Kim, Qing Lyu, Christopher T. Whitlow
2025	J	`jnl`	Nonhuman Primate Brain Tissue Segmentation Using a Transfer Learning Approach. CoRR Zhen Lin, Hongyu Yuan, Richard Barcus, Qing Lyu, Sucheta Chakravarty, Megan E. Lipford, Carol A. Shively, Suzanne Craft, Mohammad Kawas, Jeongchul Kim, Christopher T. Whitlow
2025	J	`jnl`	Research and Analysis on the Topology of a Two-Stage Electromagnetic Launch Circuit Based on Energy Recovery. IEEE Access Haijun Lai, Qiang Li, Qing Lyu, Limin Li, Chunyan Liang, Huafeng Li, Yanfei Hou, Wei Zhang, Zhengyang Li
2024	J	`jnl`	Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. CoRR Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang
2024	J	`jnl`	Synthesizing beta-amyloid PET images from T1-weighted Structural MRI: A Preliminary Study. CoRR Qing Lyu, Jin Young Kim, Jeongchul Kim, Christopher T. Whitlow
2023	J	`jnl`	Noise Suppression With Similarity-Based Self-Supervised Deep Learning. IEEE Trans. Medical Imaging Chuang Niu, Mengzhou Li, Fenglei Fan, Weiwen Wu, Xiaodong Guo, Qing Lyu, Ge Wang
2023	J	`jnl`	Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow
2023	J	`jnl`	Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow
2022	J	`jnl`	A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. Patterns 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
2022	J	`jnl`	Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models. CoRR Qing Lyu, Ge Wang
2022	J	`jnl`	Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup. CoRR Wenjun Xia, Qing Lyu, Ge Wang
2022	J	`jnl`	SoftDropConnect (SDC) - Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis. CoRR Qing Lyu, Christopher T. Whitlow, Ge Wang
2021	J	`jnl`	A transformer-based deep learning approach for classifying brain metastases into primary organ sites using clinical whole brain MRI images. CoRR 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
2021	J	`jnl`	Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. IEEE Trans. Medical Imaging Qing Lyu, Hongming Shan, Yibin Xie, Alan C. Kwan, Yuka Otaki, Keiichiro Kuronuma, Debiao Li, Ge Wang
2020	J	`jnl`	A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. Neurocomputing Yueyang Teng, Shouliang Qi, Fangfang Han, Yudong Yao, Fenglei Fan, Qing Lyu, Ge Wang
2020	J	`jnl`	Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network. CoRR Qing Lyu, Hongming Shan, Yibin Xie, Debiao Li, Ge Wang
2020	J	`jnl`	MRI Super-Resolution With Ensemble Learning and Complementary Priors. IEEE Trans. Computational Imaging Qing Lyu, Hongming Shan, Ge Wang
2020	J	`jnl`	Multi-Contrast Super-Resolution MRI Through a Progressive Network. IEEE Trans. Medical Imaging Qing Lyu, Hongming Shan, Cole Steber, Corbin Helis, Chris Whitlow, Michael D. Chan, Ge Wang
2019	J	`jnl`	MRI Super-Resolution with Ensemble Learning and Complementary Priors. CoRR Qing Lyu, Hongming Shan, Ge Wang
2019	J	`jnl`	Multi-Contrast Super-Resolution MRI Through a Progressive Network. CoRR Qing Lyu, Hongming Shan, Ge Wang