9 citations · 22 across the 6 of their papers we have counts for
6 papers
A 3D-Printed Table for Hybrid X-ray CT and Optical Imaging of a Live Mouse
Wenxuan Xue, Yuxuan Liang, Mengzhou Li +3
Multimodal imaging has shown great potential in cancer research by concurrently providing anatomical, functional, and molecular information in live, intact animals. During preclini…
Data-driven imaging geometric recovery of ultrahigh resolution robotic micro-CT for in-vivo and other applications
Mengzhou Li, Guibin Zan, Wenbin Yun +3
We introduce an ultrahigh-resolution (50μm\) robotic micro-CT design for localized imaging of carotid plaques using robotic arms, cutting-edge detector, and machine learning techno…
Motion Correction via Locally Linear Embedding for Helical Photon-counting CT
Mengzhou Li, Chiara Lowe, Anthony Butler +2
X-ray photon-counting detector (PCD) offers low noise, high resolution, and spectral characterization, representing a next generation of CT and enabling new biomedical applications…
Top-level Design and Simulated Performance of the First Portable CT-MR scanner
Yuting Peng, Mengzhou Li, Jace Grandinetti +2
Multi-modality imaging hardware can be integrated in a single gantry to collect diverse datasets for complementary information and spatiotemporal correlation, with excellent exampl…
On Expressivity and Trainability of Quadratic Networks
Feng-Lei Fan, Mengzhou Li, Fei Wang +2
Inspired by the diversity of biological neurons, quadratic artificial neurons can play an important role in deep learning models. The type of quadratic neurons of our interest repl…
Suppression of Correlated Noise with Similarity-based Unsupervised Deep Learning
Chuang Niu, Mengzhou Li, Fenglei Fan +4
Image denoising is a prerequisite for downstream tasks in many fields. Low-dose and photon-counting computed tomography (CT) denoising can optimize diagnostic performance at minimi…