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20202026
most citedDual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

4 citations · 9 across the 6 of their papers we have counts for

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physics.med-ph2023

Full-length-body CBCT imaging in upright position with robotic-arm system: a simulation study

Tong Lin, Tianling Lyu, Zhan Wu +3

Upright position CT scans make it possible for full-length-body imaging at conditions more relevant to daily situations, but the substantial weight of the upright CT scanners incre…

physics.med-ph2023

PDS-MAR: a fine-grained Projection-Domain Segmentation-based Metal Artifact Reduction method for intraoperative CBCT images with guidewires

Tianling Lyu, Zhan Wu, Gege Ma +5

Since the invention of modern CT systems, metal artifacts have been a persistent problem. Due to increased scattering, amplified noise, and insufficient data collection, it is more…

physics.med-ph2020

Dual-energy Computed Tomography Imaging from Contrast-enhanced Single-energy Computed Tomography

Wei Zhao, Tianling Lyu, Yang Chen +1

In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is therefore challenging to differentiate an…

physics.med-ph20204 cited

Dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

Tianling Lyu, Zhan Wu, Yikun Zhang +3

Dual-energy computed tomography (DECT) is of great significance for clinical practice due to its huge potential to provide material-specific information. However, DECT scanners are…

physics.med-ph20204 cited

A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner

Wei Zhao, Tianling Lyu, Yang Chen +1

Purpose/Objectives: To develop and assess a strategy of using deep learning (DL) to generate virtual monochromatic CT (VMCT) images from a single-energy CT (SECT) scan. Materials/M…