21 citations · 26 across the 4 of their papers we have counts for
4 papers
Investigation of domain gap problem in several deep-learning-based CT metal artefact reduction methods
Muge Du, Kaichao Liang, Yinong Liu +1
Metal artefacts in CT images may disrupt image quality and interfere with diagnosis. Recently many deep-learning-based CT metal artefact reduction (MAR) methods have been proposed.…
Spatio-Temporal Dual-Stream Neural Network for Sequential Whole-Body PET Segmentation
Kai-Chieh Liang, Lei Bi, Ashnil Kumar +2
Sequential whole-body 18F-Fluorodeoxyglucose (FDG) positron emission tomography (PET) scans are regarded as the imaging modality of choice for the assessment of treatment response…
A Model-based Deep Learning Reconstruction for X-ray CT
Kaichao Liang, Li Zhang, Yirong Yang +2
Low dose CT is of great interest in these days. Dose reduction raises noise level in projections and decrease image quality in reconstructions. Model based image reconstruction can…
Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction
Kaichao Liang, Hongkai Yang, Yuxiang Xing
X-ray Computed Tomography (CT) imaging has been widely used in clinical diagnosis, non-destructive examination, and public safety inspection. Sparse-view (sparse view) CT has great…