Search Results - "Huang, Zhongchao"

Nucleic acid amplification strategies for volume-amplified magnetic nanoparticle detection assay by Huang, Zhongchao, Li, Jing, Zhong, Hongwen, Tian, Bo

“…Magnetic nanoparticles (MNPs) can be quantified based on their magnetic relaxation properties by volumetric magnetic biosensing strategies, for example,…”
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Semiconducting Polymer Dots for Point-of-Care Biosensing and In Vivo Bioimaging: A Concise Review by Deng, Sile, Li, Lingfeng, Zhang, Jiaxi, Wang, Yongjun, Huang, Zhongchao, Chen, Haobin

“…In recent years, semiconducting polymer dots (Pdots) have attracted much attention due to their excellent photophysical properties and applicability, such as…”
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Combining methylated SDC2 test in stool DNA, fecal immunochemical test, and tumor markers improves early detection of colorectal neoplasms by Zeng, Tao, Huang, Zhongchao, Yu, Xufa, Zheng, Li, Liu, Tao, Tian, Boyu, Xiao, Siyu, Huang, Jiahui

“…ObjectiveTo explore the value of testing methylated SDC2 (SDC2) in stool DNA combined with fecal immunochemical test (FIT) and serum tumor markers (TM) for the…”
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Removing Adversarial Noise via Low-Rank Completion of High-Sensitivity Points by Zhao, Zhiqun, Wang, Hengyou, Sun, Hao, Yuan, Jianhe, Huang, Zhongchao, He, Zhihai

“…Deep neural networks are fragile under adversarial attacks. In this work, we propose to develop a new defense method based on image restoration to remove…”
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Full-coverage unobtrusive health monitoring of elders at homes by Huang, Zhongchao, Li, Jing, He, Zhihai

“…Due to the fast increase of the elderly population, in-home eldercare has emerged as an important topic of research. Existing studies in intelligent health…”
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Ratiometric fluorescence sensing NADH using AIE-dots transducers at the point of care by Deng, Sile, Men, Xiaoju, Hu, Muhua, Liang, Xiao, Dai, Yujuan, Zhan, Zhengkun, Huang, Zhongchao, Chen, Haobin, Dong, Zhuxin

“…Reduced nicotinamide adenine dinucleotide (NADH) has a strong impact on physiological metabolism, and its concentration is related to metabolic and…”
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Identification of multimodal brain imaging biomarkers in first-episode drugs-naive major depressive disorder through a multi-site large-scale MRI consortium data by Dai, Peishan, Shi, Yun, Zhou, Xiaoyan, Xiong, Tong, Luo, Jialin, Chen, Qiongpu, Liao, Shenghui, Huang, Zhongchao, Yi, Xiaoping

“…Major depressive disorder (MDD) is a severe and common mental illness. The first-episode drugs-naive MDD (FEDN-MDD) patients, who have not undergone medication…”
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Comparative Genomics Screens Identify a Novel Small Secretory Peptide, SlSolP12, which Activates Both Local and Systemic Immune Response in Tomatoes and Exhibits Broad-Spectrum Activity by Yu, Xiaosong, Huang, Zhongchao, Cheng, Yuanyuan, Hu, Keyi, Zhou, Yan, Yao, Huipeng, Shen, Jinbo, Huang, Yan, Zhuang, Xiaohong, Cai, Yi

“…Small secreted peptides (SSPs) are essential for defense mechanisms in plant–microbe interactions, acting as danger-associated molecular patterns (DAMPs)…”
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Altered Effective Connectivity Among the Cerebellum and Cerebrum in Patients with Major Depressive Disorder Using Multisite Resting-State fMRI by Dai, Peishan, Zhou, Xiaoyan, Xiong, Tong, Ou, Yilin, Chen, Zailiang, Zou, Beiji, Li, Weihui, Huang, Zhongchao

“…Major depressive disorder (MDD) is a serious and widespread psychiatric disorder. Previous studies mainly focused on cerebrum functional connectivity, and the…”
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Deep learning models for ischemic stroke lesion segmentation in medical images: A survey by Luo, Jialin, Dai, Peishan, He, Zhuang, Huang, Zhongchao, Liao, Shenghui, Liu, Kun

“…This paper provides a comprehensive review of deep learning models for ischemic stroke lesion segmentation in medical images. Ischemic stroke is a severe…”
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Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data by Dai, Peishan, Lu, Da, Shi, Yun, Zhou, Ying, Xiong, Tong, Zhou, Xiaoyan, Chen, Zailiang, Zou, Beiji, Tang, Hui, Huang, Zhongchao, Liao, Shenghui

“…Major depressive disorder (MDD) has a high rate of recurrence. Identifying patients with recurrent MDD is advantageous in adopting prevention strategies to…”
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Automated work efficiency analysis for smart manufacturing using human pose tracking and temporal action localization by Sun, Hao, Ning, Guanghan, Zhao, Zhiqun, Huang, Zhongchao, He, Zhihai

“…In this paper, we aim to develop an automatic system to monitor and evaluate worker’s efficiency for smart manufacturing based on human pose tracking and…”
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An integrated microfluidic 3D tumor system for parallel and high-throughput chemotherapy evaluation by Liu, Wenming, Liu, Dan, Hu, Rui, Huang, Zhongchao, Sun, Meilin, Han, Kai

“…The development of a microplatform with multifunctional integration allowing the dynamic and high-throughput exploration of three-dimensional (3D) cultures is…”
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The alterations of brain functional connectivity networks in major depressive disorder detected by machine learning through multisite rs-fMRI data by Dai, Peishan, Xiong, Tong, Zhou, Xiaoyan, Ou, Yilin, Li, Yang, Kui, Xiaoyan, Chen, Zailiang, Zou, Beiji, Li, Weihui, Huang, Zhongchao, The REST-meta-MDD Consortium

“…The current diagnosis of major depressive disorder (MDD) is mainly based on the patient's self-report and clinical symptoms. Machine learning methods are used…”
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Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data by Dai, Peishan, Shi, Yun, Lu, Da, Zhou, Ying, Luo, Jialin, He, Zhuang, Chen, Zailiang, Zou, Beiji, Tang, Hui, Huang, Zhongchao, Liao, Shenghui

“…•A deep learning framework that can effectively classify rMDD is proposed.•This framework identified altered FC in rMDD patients.•The study reveals the changes…”
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Risk Prediction Model for Crohn's Disease Based on Hematological Indicators by Zeng, Tao, Xiao, Yushan, Huang, Zhongchao, Wang, Xianghui, Hu, Suhua, Huang, Jiahui, Liu, Huanliang

“…The similarity between Crohn's disease (CD) and non-CD, especially with ulcerative colitis (UC) or intestinal tuberculosis (ITB), makes the diagnostic error…”
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Pyridyl DPP based soluble nanoaggregates for ratiometric/fluorescent detection of Cu2+/Hg2+ in water by Nie, Kaixuan, Dong, Bo, Shi, Huanhuan, Chao, Lemeng, Huang, Zhongchao, Long, Mengqiu, Xu, Hui, Liu, Zhengchun, Liang, Bo

“…A new diketopyrrolopyrrole amphiphile, namely 2-(2-(2-methoxyethoxy)-ethyl)- 3,6-di(pyridin-2-yl)-2,5-dihydropyrrolo[3,4-c]pyrrole-1,4-dione (PyDPP), is…”
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A Microfluidic Model with Hydrogel Barriers for the Construction of Shear‐Free Attractive and Repulsive Cue Gradients by Liu, Wenming, Han, Kai, Sun, Meilin, Huang, Zhongchao, Wang, Jinyi

“…Axon guidance is a fundamental process during neural development and regeneration. The combinatorial impacts of guidance cues on neuronal axons remain largely…”
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Acoustic field simulation method for arbitrarily shaped transducer with dynamically refined sub-elements by Xiao, Jiaying, Xiao, Mengdi, Wang, Bo, Huang, Zhongchao, Peng, Kuan

“…Simulation of the emitted acoustic field is crucial to the design of ultrasound transducers. The method based on the spatial impulse response (SIR) and…”
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Biomimetic Gradient: A Microfluidic Model with Hydrogel Barriers for the Construction of Shear‐Free Attractive and Repulsive Cue Gradients (Adv. Mater. Technol. 2/2019) by Liu, Wenming, Han, Kai, Sun, Meilin, Huang, Zhongchao, Wang, Jinyi

“…A microfluidic approach for the integration of multiple biochemical concentration gradients in a single microfluidic device is presented in article number…”
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