Qing Lyu
Assistant Professor of Radiology and Biomedical ImagingCards
About
Research
Publications
2026
KA-TMoE: A Deep Learning Method Using Time-Series CT Radiomics to Predict Post-Radiotherapy Rib Fractures in NSCLC Patients
Chen Y, Farris M, Choi A, Nguyen N, Li Z, Goetz A, Helis C, Xing F, Wang Y, Liu L, Lyu Q, Whitlow C, Cramer C, Chan M, Young P, Bourland J, Munley M, Willey J, Jiang Y. KA-TMoE: A Deep Learning Method Using Time-Series CT Radiomics to Predict Post-Radiotherapy Rib Fractures in NSCLC Patients. International Journal Of Radiation Oncology • Biology • Physics 2026 PMID: 42575323, DOI: 10.1016/j.ijrobp.2026.07.056.Peer-Reviewed Original ResearchA multimodal MRI–radiomics deep learning model for survival risk stratification after gamma knife radiosurgery in patients with brain metastases: A multicenter retrospective study
Chen Y, Yuan Q, Cramer C, Helis C, He G, Chen C, Choi A, Young P, Wang Y, Xing F, Ruiz J, Tan J, Lyu Q, Whitlow C, Munley M, Willey J, Tian J, Chan M, Jiang Y. A multimodal MRI–radiomics deep learning model for survival risk stratification after gamma knife radiosurgery in patients with brain metastases: A multicenter retrospective study. Radiotherapy And Oncology 2026, 222: 111686. PMID: 42419433, DOI: 10.1016/j.radonc.2026.111686.Peer-Reviewed Original ResearchSelf-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI
Lyu, Qing, et al. "Self-Auditing Residual Drifting for Pathology-Preserving Accelerated Knee MRI." arXiv preprint arXiv:2607.02428 (2026).Peer-Reviewed Original ResearchRDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising
Wang, Jianxu, Qing Lyu, and Ge Wang. "RDDM: A Residual-Driven Drifting Model for High-Fidelity Low-Dose CT Denoising." arXiv preprint arXiv:2605.17188 (2026).Peer-Reviewed Original ResearchPROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking
Lyu, Qing, et al. "PROMISE-AD: Progression-aware Multi-horizon Survival Estimation for Alzheimer's Disease Progression and Dynamic Tracking." arXiv preprint arXiv:2604.28055 (2026).Peer-Reviewed Original ResearchMCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer’s Disease Imaging
Kim J, Hudson J, Kim J, Lyu Q, Whitlow C. MCR-VQGAN: A Scalable and Cost-Effective Tau PET Synthesis Approach for Alzheimer’s Disease Imaging. IEEE Access 2026, 14: 94122-94136. DOI: 10.1109/access.2026.3703426.Peer-Reviewed Original Research
2025
A large scale multi-dataset investigation of brain metastases distribution based on primary cancer type
Lyu Q, Yuan H, Lin Z, Barcus R, Hudson J, Jiang Y, Kim J, Whitlow C. A large scale multi-dataset investigation of brain metastases distribution based on primary cancer type. BMC Cancer 2025, 25: 1821. PMID: 41291518, PMCID: PMC12648834, DOI: 10.1186/s12885-025-15222-5.Peer-Reviewed Original ResearchPredicting Immunotherapy-Induced Pneumonitis Based on Chest CT and Non-Imaging Data
Lyu Q, Yuan H, Lin Z, Ponnatapura J, Whitlow C. Predicting Immunotherapy-Induced Pneumonitis Based on Chest CT and Non-Imaging Data. Cancers 2025, 17: 2980. PMID: 41008824, PMCID: PMC12468472, DOI: 10.3390/cancers17182980.Peer-Reviewed Original ResearchMultimodal radiopathomics signature for prediction of response to immunotherapy-based combination therapy in gastric cancer using interpretable machine learning
Huang W, Wang X, Zhong R, Li Z, Zhou K, Lyu Q, Han J, Chen T, Islam M, Yuan Q, Ahmad M, Chen S, Chen C, Huang J, Xie J, Shen Y, Xiong W, Shen L, Xu Y, Yang F, Xu Z, Li G, Jiang Y. Multimodal radiopathomics signature for prediction of response to immunotherapy-based combination therapy in gastric cancer using interpretable machine learning. Cancer Letters 2025, 631: 217930. PMID: 40675469, DOI: 10.1016/j.canlet.2025.217930.Peer-Reviewed Original ResearchMRI-Based Radiomics Ensemble Model for Predicting Radiation Necrosis in Brain Metastasis Patients Treated with Stereotactic Radiosurgery and Immunotherapy
Chen Y, Helis C, Cramer C, Munley M, Choi A, Tan J, Xing F, Lyu Q, Whitlow C, Willey J, Chan M, Jiang Y. MRI-Based Radiomics Ensemble Model for Predicting Radiation Necrosis in Brain Metastasis Patients Treated with Stereotactic Radiosurgery and Immunotherapy. Cancers 2025, 17: 1974. PMID: 40563624, PMCID: PMC12191015, DOI: 10.3390/cancers17121974.Peer-Reviewed Original Research
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