activity
20182024
most citedOn Interpretability of Artificial Neural Networks: A Survey

46 citations · 129 across the 16 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

physics.med-ph2024

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…

cs.CV2024

3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion Model

Chuang Niu, Christopher Wiedeman, Mengzhou Li +2

This study aims to improve photon counting CT (PCCT) image resolution using denoising diffusion probabilistic models (DDPM). Although DDPMs have shown superior performance when app…

physics.med-ph2024★ 1 cited

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…

physics.med-ph2024★ 1 cited

Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity Imaging

Mengzhou Li, Chuang Niu, Ge Wang +10

X-ray photon-counting computed tomography (PCCT) for extremity allows multi-energy high-resolution (HR) imaging but its radiation dose can be further improved. Despite the great po…

eess.IV2024

Photon-counting CT using a Conditional Diffusion Model for Super-resolution and Texture-preservation

Christopher Wiedeman, Chuang Niu, Mengzhou Li +3

Ultra-high resolution images are desirable in photon counting CT (PCCT), but resolution is physically limited by interactions such as charge sharing. Deep learning is a possible me…