Search Results - "Xing, Lei"

Segmentation of organs‐at‐risks in head and neck CT images using convolutional neural networks by Ibragimov, Bulat, Xing, Lei

“…Purpose Accurate segmentation of organs‐at‐risks (OARs) is the key step for efficient planning of radiation therapy for head and neck (HaN) cancer treatment…”
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An agglomerate model for PEM fuel cells operated with non-precious carbon-based ORR catalysts by Xing, Lei

“…[Display omitted] •A model for PEM fuel cells operated with non-precious ORR catalyst is developed.•Fuel cells performance in a practical single-cell condition…”
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Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning by Shen, Liyue, Zhao, Wei, Xing, Lei

“…Tomographic imaging using penetrating waves generates cross-sectional views of the internal anatomy of a living subject. For artefact-free volumetric imaging,…”
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Generalized Correntropy for Robust Adaptive Filtering by Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, Principe, Jose C.

“…As a robust nonlinear similarity measure in kernel space, correntropy has received increasing attention in domains of machine learning and signal processing…”
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Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data by Islam, Md Tauhidul, Xing, Lei

“…Remarkable advances in single cell genomics have presented unique challenges and opportunities for interrogating a wealth of biomedical inquiries. High…”
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Single-cell transcriptomic analysis of mouse neocortical development by Loo, Lipin, Simon, Jeremy M., Xing, Lei, McCoy, Eric S., Niehaus, Jesse K., Guo, Jiami, Anton, E. S., Zylka, Mark J.

“…The development of the mammalian cerebral cortex depends on careful orchestration of proliferation, maturation, and migration events, ultimately giving rise to…”
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Wnt signaling: a promising target for osteoarthritis therapy by Wang, Yudan, Fan, Xinhao, Xing, Lei, Tian, Faming

“…Osteoarthritis (OA) is the most common joint disease worldwide and a leading cause of disability. Characterized by degradation of articular cartilage, synovial…”
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The circRNA circAGFG1 acts as a sponge of miR-195-5p to promote triple-negative breast cancer progression through regulating CCNE1 expression by Yang, Rui, Xing, Lei, Zheng, Xiaying, Sun, Yan, Wang, Xiaosong, Chen, Junxia

“…In recent years, circular RNAs (circRNAs), a new star of non-coding RNA, have been emerged as vital regulators and gained much attention for involvement of…”
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A two-phase flow and non-isothermal agglomerate model for a proton exchange membrane (PEM) fuel cell by Xing, Lei, Liu, Xiaoteng, Alaje, Taiwo, Kumar, Ravi, Mamlouk, Mohamed, Scott, Keith

“…A two dimensional, across the channel, steady-state model for a proton exchange membrane fuel cell (PEMFC) is presented in which the non-isothermal model for…”
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Stability-increasing effects of anthocyanin glycosyl acylation by Zhao, Chang-Ling, Yu, Yu-Qi, Chen, Zhong-Jian, Wen, Guo-Song, Wei, Fu-Gang, Zheng, Quan, Wang, Chong-De, Xiao, Xing-Lei

“…•Anthocyanin glycosyl acylation is the glycosyl OHs are esterified by acids.•The acylation is represented by acylation sites and types and numbers of…”
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Coordination Polymer Coated Mesoporous Silica Nanoparticles for pH-Responsive Drug Release by Xing, Lei, Zheng, Haoquan, Cao, Yuanyuan, Che, Shunai

“…Coordination polymer coated mesoporous silica nanoparticles for drug delivery are successfully synthesized. The system ensures that drugs are stored in the…”
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Effect of porosity variation strategy on the performance of functionally graded Ti-6Al-4V scaffolds for bone tissue engineering by Zhang, Xiang-Yu, Fang, Gang, Xing, Lei-Lei, Liu, Wei, Zhou, Jie

“…Functionally graded scaffold (FGS) is designed to mimic the morphology, mechanical and biological properties of natural bone closely. Porosity variation…”
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Numerical investigation of the optimal Nafion® ionomer content in cathode catalyst layer: An agglomerate two-phase flow modelling by LEI XING, MAMLOUK, Mohamed, KUMAR, Ravi, SCOTT, Keith

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The circRNA circSEPT9 mediated by E2F1 and EIF4A3 facilitates the carcinogenesis and development of triple-negative breast cancer by Zheng, Xiaying, Huang, Mengge, Xing, Lei, Yang, Rui, Wang, Xiaosong, Jiang, Rong, Zhang, Luyu, Chen, Junxia

“…Increasing studies have shown that circRNA is closely related to the carcinogenesis and development of many cancers. However, biological functions and the…”
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Toward real-time Monte Carlo simulation using a commercial cloud computing infrastructure by Wang, Henry, Ma, Yunzhi, Pratx, Guillem, Xing, Lei

“…Monte Carlo (MC) methods are the gold standard for modeling photon and electron transport in a heterogeneous medium; however, their computational cost…”
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Constant-Power Load System Stabilization by Passive Damping by Cespedes, M., Lei Xing, Jian Sun

“…This paper addresses stability problems in power systems with loads that exhibit constant-power behavior. Instability may occur in such systems due to the…”
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Recent advances in the biodegradation of azo dyes by Shi, Yaqi, Yang, Zonglin, Xing, Lei, Zhang, Xuzhi, Li, Xianguo, Zhang, Dahai

“…As dye demand continues to rapidly increase in the food, pharmaceutical, cosmetic, paper, textile, and leather industries, an industrialization increase is…”
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Coexisting Single‐Atomic Fe and Ni Sites on Hierarchically Ordered Porous Carbon as a Highly Efficient ORR Electrocatalyst by Zhu, Zhengju, Yin, Huajie, Wang, Yun, Chuang, Cheng‐Hao, Xing, Lei, Dong, Mengyang, Lu, Ying‐Rui, Casillas‐Garcia, Gilberto, Zheng, Yonglong, Chen, Shan, Dou, Yuhai, Liu, Porun, Cheng, Qilin, Zhao, Huijun

“…The development of oxygen reduction reaction (ORR) electrocatalysts based on earth‐abundant nonprecious materials is critically important for sustainable…”
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Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion by Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, Principe, Jose C.

“…The steady-state excess mean square error (EMSE) of the adaptive filtering under the maximum correntropy criterion (MCC) has been studied. For Gaussian noise…”
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Projection‐domain scatter correction for cone beam computed tomography using a residual convolutional neural network by Nomura, Yusuke, Xu, Qiong, Shirato, Hiroki, Shimizu, Shinichi, Xing, Lei

“…Purpose Scatter is a major factor degrading the image quality of cone beam computed tomography (CBCT). Conventional scatter correction strategies require…”
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