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eess.IV2022
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Siqi Li, Kuang Gong, Ramsey D. Badawi +3
Image reconstruction of low-count positron emission tomography (PET) data is challenging. Kernel methods address the challenge by incorporating image prior information in the forwa…
eess.IV2021★ 1 cited
Deep Kernel Representation for Image Reconstruction in PET
Siqi Li, Guobao Wang
Image reconstruction for positron emission tomography (PET) is challenging because of the ill-conditioned tomographic problem and low counting statistics. Kernel methods address th…
eess.IV2020★ 11 cited
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Siqi Li, Guobao Wang
Deep neural networks have a great potential to improve image denoising in low-dose computed tomography (LDCT). Popular ways to increase the network capacity include adding more lay…