4 papers
AD-GS: Anatomical Density-guided 3D Gaussian Splatting for Sparse-View Dental CBCT Reconstruction
Zonglin Li, Kexian Xie, Feiran Li +5
Sparse-view Cone-Beam Computed Tomography (CBCT) reconstruction is essential for reducing radiation dose and scan effort, but remains underconstrained due to limited projection inf…
SONAR: A Structure-Consistent Neural Operator for Null-Space-Aware Sparse View CT Reconstruction
Song Ni, Haijun Yu, Haodong Li +4
Sparse-view computed tomography (CT) reduces radiation dose and acquisition time but remains severely ill-posed because incomplete projections poorly constrain null-space informati…
Improving Generalization of Deep Learning for Brain Metastases Segmentation Across Institutions
Yuchen Yang, Shuangyang Zhong, Haijun Yu +4
Background: Deep learning has demonstrated significant potential for automated brain metastases (BM) segmentation; however, models trained at a singular institution often exhibit s…
Efficient Image-to-Image Schrödinger Bridge for CT Field of View Extension
Zhenhao Li, Song Ni, Long Yang +6
Computed tomography (CT) is a cornerstone imaging modality for non-invasive, high-resolution visualization of internal anatomical structures. However, when the scanned object excee…