4 papers
GUMP-Net: An interpretable model-data-driven intelligent algorithm for multi-class pelvic segmentation
Liheng Wang, Yinghui Zhang, Licheng Zhang +3
Pelvic segmentation is one of the most important and fundamental research problems in precise and intelligent diagnosis and treatment, as well as surgical planning and navigation f…
An efficient approach with theoretical guarantees to simultaneously reconstruct activity and attenuation sinogram for TOF-PET
Liyang Hu, Chong Chen
In positron emission tomography (PET), it is indispensable to perform attenuation correction in order to obtain the quantitatively accurate activity map (tracer distribution) in th…
Fracture interactive geodesic active contours for bone segmentation
Liheng Wang, Licheng Zhang, Hailin Xu +6
For bone segmentation, the classical geodesic active contour model is usually limited by its indiscriminate feature extraction, and then struggles to handle the phenomena of edge o…
AFIRE: Accurate and Fast Image Reconstruction Algorithm for Geometric-inconsistent Multispectral CT
Yu Gao, Chong Chen
For nonlinear multispectral computed tomography (CT), accurate and fast image reconstruction is challenging when the scanning geometries under different X-ray energy spectra are in…