6 citations · 13 across the 5 of their papers we have counts for
6 papers
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…
Superpixel-Based Background Recovery from Multiple Images
Lei Gao, Yixing Huang, Andreas Maier
In this paper, we propose an intuitive method to recover background from multiple images. The implementation consists of three stages: model initialization, model update, and backg…
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…