Search Results - "Li, Runrui"

Multi-scale dense selective network based on border modeling for lung nodule segmentation by Wang, Hexi, Xiao, Ning, Luo, Shichao, Li, Runrui, Zhao, Jun, Ma, Yulan, Zhao, Juanjuan, Qiang, Yan, Wang, Long, Lian, Jianhong

“…Purpose Accurate quantification of pulmonary nodules helps physicians to accurately diagnose and treat lung cancer. We try to improve the segmentation…”
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Research and Progress of Artificial Intelligence in Medical CT Image Reconstruction by Qing LI, Runrui LI, Yan QIANG, Yubin CHENG, Tao WANG

“…Computed tomography (CT) is a medical image widely used in clinical medicine that visualizes the fine structural details inside human body. In clinical…”
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Unpaired low‐dose computed tomography image denoising using a progressive cyclical convolutional neural network by Li, Qing, Li, Runrui, Li, Saize, Wang, Tao, Cheng, Yubin, Zhang, Shuming, Wu, Wei, Zhao, Juanjuan, Qiang, Yan, Wang, Long

“…Background Reducing the radiation dose from computed tomography (CT) can significantly reduce the radiation risk to patients. However, low‐dose CT (LDCT)…”
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TLIR: Two-layer iterative refinement model for limited-angle CT reconstruction by Li, Qing, Wang, Tao, Li, RunRui, Qiang, Yan, Zhang, Bin, Sun, Jijie, Zhao, JuanJuan, Wu, Wei

“…Limited angle reconstruction is a typical ill-posed problem in computed tomography (CT). In practical applications, due to the limited scanning angles…”
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A cascade-based dual-domain data correction network for sparse view CT image reconstruction by Li, Qing, Li, Runrui, Wang, Tao, Cheng, Yubin, Qiang, Yan, Wu, Wei, Zhao, Juanjuan, Zhang, Dongxu

“…Computed tomography (CT) provides non-invasive anatomical structures of the human body and is also widely used for clinical diagnosis, but excessive ionizing…”
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An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising by Li, Saize, Li, Qing, Li, Runrui, Wu, Wei, Zhao, Juanjuan, Qiang, Yan, Tian, Yuling

“…Excessive X-ray radiation during CT imaging can bring potential health risks. Reducing the radiation dose will increase the noise and artifacts of the…”
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DDPTransformer: Dual-Domain With Parallel Transformer Network for Sparse View CT Image Reconstruction by Li, Runrui, Li, Qing, Wang, Hexi, Li, Saize, Zhao, Juanjuan, Yan, Qiang, Wang, Long

“…Computed tomography (CT) is increasingly essential for clinical diagnosis nowadays while X-ray ionizing radiation is harmful and may increase the risk of…”
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Low-dose computed tomography image reconstruction via a multistage convolutional neural network with autoencoder perceptual loss network by Li, Qing, Li, Saize, Li, Runrui, Wu, Wei, Dong, Yunyun, Zhao, Juanjuan, Qiang, Yan, Aftab, Rukhma

“…Computed tomography (CT) is widely used in medical diagnoses due to its ability to non-invasively detect the internal structures of the human body. However, CT…”
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LIR-Net:Learnable Iterative Reconstruction Network for Fan Beam CT Sparse-View Reconstruction by Cheng, Yubin, Li, Qing, Li, Runrui, Wang, Tao, Zhao, Juanjuan, Yan, Qiang, Rehman, Zia Ur, Wang, Long, Geng, Yan

“…In computed tomography (CT), although sparse sampling of projections effectively mitigates radiation problems, the quality of CT images is severely…”
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