6 citations · 23 across the 8 of their papers we have counts for
6 papers · 1 filter
Two-View Topogram-Based Anatomy-Guided CT Reconstruction for Prospective Risk Minimization
Chang Liu, Laura Klein, Yixing Huang +4
To facilitate a prospective estimation of CT effective dose and risk minimization process, a prospective spatial dose estimation and the known anatomical structures are expected. T…
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
Chang Liu, Yixing Huang, Joscha Maier +3
In computed tomography (CT), automatic exposure control (AEC) is frequently used to reduce radiation dose exposure to patients. For organ-specific AEC, a preliminary CT reconstruct…
Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images
Yixing Huang, Alexander Preuhs, Michael Manhart +2
Image reconstruction from insufficient data is common in computed tomography (CT), e.g., image reconstruction from truncated data, limited-angle data and sparse-view data. Deep lea…
Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
Yixing Huang, Shengxiang Wang, Yong Guan +1
In transmission X-ray microscopy (TXM) systems, the rotation of a scanned sample might be restricted to a limited angular range to avoid collision to other system parts or high att…
Field of View Extension in Computed Tomography Using Deep Learning Prior
Yixing Huang, Lei Gao, Alexander Preuhs +1
In computed tomography (CT), data truncation is a common problem. Images reconstructed by the standard filtered back-projection algorithm from truncated data suffer from cupping ar…
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
Yixing Huang, Alexander Preuhs, Guenter Lauritsch +3
Robustness of deep learning methods for limited angle tomography is challenged by two major factors: a) due to insufficient training data the network may not generalize well to uns…