Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Dual-and multi-energy CT for particle stop**-power estimation: current state, challenges and potential
Range uncertainty has been a key factor preventing particle radiotherapy from reaching its
full physical potential. One of the main contributing sources is the uncertainty in estimating …
full physical potential. One of the main contributing sources is the uncertainty in estimating …
Virtual monoenergetic CT imaging via deep learning
W Cong, Y ** power ratio calculation in proton radiation therapy
Objective: Dual energy CT (DECT) has been shown to estimate stop** power ratio (SPR)
map with a higher accuracy than conventional single energy CT (SECT) by obtaining the …
map with a higher accuracy than conventional single energy CT (SECT) by obtaining the …
Full-spectrum-knowledge-aware tensor model for energy-resolved CT iterative reconstruction
Energy-resolved computed tomography (ErCT) with a photon counting detector concurrently
produces multiple CT images corresponding to different photon energy ranges. It has the …
produces multiple CT images corresponding to different photon energy ranges. It has the …
[HTML][HTML] Jointly optimized deep neural networks to synthesize monoenergetic images from single-energy CT angiography for improving classification of pulmonary …
Detector-based spectral CT offers the possibility of obtaining spectral information from which
discrete acquisitions at different energy levels can be derived, yielding so-called virtual …
discrete acquisitions at different energy levels can be derived, yielding so-called virtual …
Data-Driven Contrast-Enhanced Dual-Energy CT Imaging via Physically Constrained Attention
W Zhang, T Lyu, Y Li, Y Chen, B Sun… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Computed tomography (CT) is widely used to generate cross-sectional views of the internal
anatomy of a subject. Conventional CT imaging with single energy is, however, incapable of …
anatomy of a subject. Conventional CT imaging with single energy is, however, incapable of …
Deep learning and domain-specific knowledge to segment the liver from synthetic dual energy ct iodine scans
We map single energy CT (SECT) scans to synthetic dual-energy CT (synth-DECT) material
density iodine (MDI) scans using deep learning (DL) and demonstrate their value for liver …
density iodine (MDI) scans using deep learning (DL) and demonstrate their value for liver …
Deep Learning Methods in Dual Energy CT Imaging
T Lyu, W Zhu, Y Zhang, W Zhao, J Yang… - Deep Learning for …, 2024 - Springer
Dual-energy computed tomography (DECT) utilizes X-rays of two distinct spectra to visualize
the anatomical structures of the patient. By employing material decomposition technology …
the anatomical structures of the patient. By employing material decomposition technology …
A deep learning approach for virtual monochromatic spectral CT imaging with a standard single energy CT scanner
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 …
generate virtual monochromatic CT (VMCT) images from a single-energy CT (SECT) scan …