A comparison study of deep learning designs for improving low-dose CT denoising. - Vincent Wang 004; Alice Wei; Jiaxing Tan; Siming Lu; Weiguo Cao; Yongfeng Gao (Image Processing, 2021)

A feasibility study of computer-aided diagnosis with DECT Bayesian reconstruction for polyp classification. - Shaojie Chang; Yongfeng Gao; Marc Jason Pomeroy; Siming Lu; Zhengrong Liang (Computer-Aided Diagnosis, 2022)

Unseen Obstacle Detection via Monocular Camera Against Speed Change and Background Noise. - Kai Wang; Siming Lu; Shenlu Jiang (HCI (51), 2023)

A Joint-Parameter Estimation and Bayesian Reconstruction Approach to Low-Dose CT. - Yongfeng Gao; Siming Lu; Yongyi Shi; Shaojie Chang; Hao Zhang 026; Wei Hou; Lihong Li 002; Zhengrong Liang (Sensors, 2023)

Exploring Dual-Energy CT Spectral Information for Machine Learning-Driven Lesion Diagnosis in Pre-Log Domain. - Shaojie Chang; Yongfeng Gao; Marc Jason Pomeroy; Ti Bai; Hao Zhang 026; Siming Lu; Perry J. Pickhardt; Amit Gupta; Michael Reiter; Elaine S. Gould; Zhengrong Liang (IEEE Trans. Medical Imaging, 2023)

Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT. - Yongfeng Gao; Jiaxing Tan; Yongyi Shi; Hao Zhang 026; Siming Lu; Amit Gupta; Haifang Li; Michael Reiter; Zhengrong Liang (IEEE Trans. Medical Imaging, 2023)