Search Results - "Yao, Yudong"

Surface regulation enables high stability of single-crystal lithium-ion cathodes at high voltage by Zhang, Fang, Lou, Shuaifeng, Li, Shuang, Yu, Zhenjiang, Liu, Qingsong, Dai, Alvin, Cao, Chuntian, Toney, Michael F., Ge, Mingyuan, Xiao, Xianghui, Lee, Wah-Keat, Yao, Yudong, Deng, Junjing, Liu, Tongchao, Tang, Yiping, Yin, Geping, Lu, Jun, Su, Dong, Wang, Jiajun

“…Single-crystal cathode materials for lithium-ion batteries have attracted increasing interest in providing greater capacity retention than their…”
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Breast lesion detection using an anchor-free network from ultrasound images with segmentation-based enhancement by Wang, Yu, Yao, Yudong

“…The survival rate of breast cancer patients is closely related to the pathological stage of cancer. The earlier the pathological stage, the higher the survival…”
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Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features by Wang, Zhiqiong, Li, Mo, Wang, Huaxia, Jiang, Hanyu, Yao, Yudong, Zhang, Hao, Xin, Junchang

“…A computer-aided diagnosis (CAD) system based on mammograms enables early breast cancer detection, diagnosis, and treatment. However, the accuracy of the…”
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Sub-1.4eV bandgap inorganic perovskite solar cells with long-term stability by Hu, Mingyu, Chen, Min, Guo, Peijun, Zhou, Hua, Deng, Junjing, Yao, Yudong, Jiang, Yi, Gong, Jue, Dai, Zhenghong, Zhou, Yunxuan, Qian, Feng, Chong, Xiaoyu, Feng, Jing, Schaller, Richard D., Zhu, Kai, Padture, Nitin P., Zhou, Yuanyuan

“…State-of-the-art halide perovskite solar cells have bandgaps larger than 1.45 eV, which restricts their potential for realizing the Shockley-Queisser limit…”
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A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches by Zhang, Jiawei, Li, Chen, Rahaman, Md Mamunur, Yao, Yudong, Ma, Pingli, Zhang, Jinghua, Zhao, Xin, Jiang, Tao, Grzegorzek, Marcin

“…Microorganisms such as bacteria and fungi play essential roles in many application fields, like biotechnique, medical technique and industrial domain…”
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Review of machine learning methods for RNA secondary structure prediction by Zhao, Qi, Zhao, Zheng, Fan, Xiaoya, Yuan, Zhengwei, Mao, Qian, Yao, Yudong

“…Secondary structure plays an important role in determining the function of noncoding RNAs. Hence, identifying RNA secondary structures is of great value to…”
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Application of Artificial Intelligence Methods in Carotid Artery Segmentation: A Review by Wang, Yu, Yao, Yudong

“…The carotid artery is one of the most important blood vessels that supply blood to the brain. If thrombus occurs, it may cause cerebral ischemic stroke and…”
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Direct sequence spread spectrum (DSSS) signal detection based on eigenvalues local binary pattern residual network (EL-ResNet) by Wang, Bo, Shen, Lei, Wang, Huaxia, Yao, Yudong

“…Direct sequence spread spectrum (DSSS) communications are highly significant in military and civilian wireless communications because of its ability to resist…”
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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset by Xu, Mingjie, Qi, Shouliang, Yue, Yong, Teng, Yueyang, Xu, Lisheng, Yao, Yudong, Qian, Wei

“…Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung…”
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Detection and Classification of Pulmonary Nodules Using Convolutional Neural Networks: A Survey by Monkam, Patrice, Qi, Shouliang, Ma, He, Gao, Weiming, Yao, Yudong, Qian, Wei

“…CT screening has been proven to be effective for diagnosing lung cancer at its early manifestation in the form of pulmonary nodules, thus decreasing the…”
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A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks by Zhou, Xiaomin, Li, Chen, Rahaman, Md Mamunur, Yao, Yudong, Ai, Shiliang, Sun, Changhao, Wang, Qian, Zhang, Yong, Li, Mo, Li, Xiaoyan, Jiang, Tao, Xue, Dan, Qi, Shouliang, Teng, Yueyang

“…Breast cancer is one of the most common and deadliest cancers among women. Since histopathological images contain sufficient phenotypic information, they play…”
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A Survey for Cervical Cytopathology Image Analysis Using Deep Learning by Rahaman, Md Mamunur, Li, Chen, Wu, Xiangchen, Yao, Yudong, Hu, Zhijie, Jiang, Tao, Li, Xiaoyan, Qi, Shouliang

“…Cervical cancer is one of the most common and deadliest cancers among women. Despite that, this cancer is entirely treatable if it is detected at a…”
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Compensation for PKMζ in long-term potentiation and spatial long-term memory in mutant mice by Tsokas, Panayiotis, Hsieh, Changchi, Yao, Yudong, Lesburguères, Edith, Wallace, Emma Jane Claire, Tcherepanov, Andrew, Jothianandan, Desingarao, Hartley, Benjamin Rush, Pan, Ling, Rivard, Bruno, Farese, Robert V, Sajan, Mini P, Bergold, Peter John, Hernández, Alejandro Iván, Cottrell, James E, Shouval, Harel Z, Fenton, André Antonio, Sacktor, Todd Charlton

“…PKMζ is a persistently active PKC isoform proposed to maintain late-LTP and long-term memory. But late-LTP and memory are maintained without PKMζ in PKMζ-null…”
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Diabetic Retinopathy Classification With Deep Learning via Fundus Images: A Short Survey by Zhu, Shanshan, Xiong, Changchun, Zhong, Qingshan, Yao, Yudong

“…Diabetic retinopathy (DR) is a microvascular disease that is associated with diabetes mellitus. DR can cause irreversible vision loss and low vision. DR…”
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Achieving high spatial resolution in a large field-of-view using lensless x-ray imaging by Jiang, Yi, Deng, Junjing, Yao, Yudong, Klug, Jeffrey A., Mashrafi, Sheikh, Roehrig, Christian, Preissner, Curt, Marin, Fabricio S., Cai, Zhonghou, Lai, Barry, Vogt, Stefan

“…X-ray ptychography, a powerful scanning lensless imaging technique, has become attractive for nondestructively imaging internal structures at nanoscale. Stage…”
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Deep CNN Model Using CT Radiomics Feature Mapping Recognizes EGFR Gene Mutation Status of Lung Adenocarcinoma by Zhang, Baihua, Qi, Shouliang, Pan, Xiaohuan, Li, Chen, Yao, Yudong, Qian, Wei, Guan, Yubao

“…To recognize the epidermal growth factor receptor (EGFR) gene mutation status in lung adenocarcinoma (LADC) has become a prerequisite of deciding whether…”
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An Application of Transfer Learning and Ensemble Learning Techniques for Cervical Histopathology Image Classification by Xue, Dan, Zhou, Xiaomin, Li, Chen, Yao, Yudong, Rahaman, Md Mamunur, Zhang, Jinghua, Chen, Hao, Zhang, Jinpeng, Qi, Shouliang, Sun, Hongzan

“…In recent years, researches are concentrating on the effectiveness of Transfer Learning (TL) and Ensemble Learning (EL) techniques in cervical histopathology…”
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3D printing sacrificial templates for manufacturing hydrogel constructs with channel networks by Pan, Bingchu, Shao, Lei, Jiang, Jinhong, Zou, Sijia, Kong, Haoyu, Hou, Ruixia, Yao, Yudong, Du, Jianke, Jin, Yuan

“…[Display omitted] •Sacrificial templates were designed and printed to fabricate hydrogel-based constructs with channel networks.•Polyvinyl alcohol was…”
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Deep Learning in Medical Ultrasound Image Analysis: A Review by Wang, Yu, Ge, Xinke, Ma, He, Qi, Shouliang, Zhang, Guanjing, Yao, Yudong

“…Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It has the advantages of real-time, low cost, noninvasive nature, and…”
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Improving the accuracy and robustness of carotid-femoral pulse wave velocity measurement using a simplified tube-load model by Xu, Lisheng, Zhou, Shuran, Wang, Lu, Yao, Yang, Hao, Liling, Qi, Lin, Yao, Yudong, Han, Hongguang, Mukkamala, Ramakrishna, Greenwald, Stephen E.

“…Arterial stiffness, as measured by pulse wave velocity, for the early non-invasive screening of cardiovascular disease is becoming ever more widely used and is…”
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