Search Results - "Li, Bing‐Nan"

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  1. 1

    Host Materials Transformable in Tumor Microenvironment for Homing Theranostics by Yang, Pei‐Pei, Luo, Qiang, Qi, Guo‐Bin, Gao, Yu‐Juan, Li, BingNan, Zhang, Jing‐Ping, Wang, Lei, Wang, Hao

    Published in Advanced materials (Weinheim) (01-04-2017)
    “…A pathology‐adaptive nanosystem, in which nest‐like hosts are built based on nanofibers that are transformed from i.v. injected nanoparticles under the acidic…”
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    Journal Article
  2. 2

    A self-destructive nanosweeper that captures and clears amyloid β-peptides by Luo, Qiang, Lin, Yao-Xin, Yang, Pei-Pei, Wang, Yi, Qi, Guo-Bin, Qiao, Zeng-Ying, Li, Bing-Nan, Zhang, Kuo, Zhang, Jing-Ping, Wang, Lei, Wang, Hao

    Published in Nature communications (04-05-2018)
    “…Cerebral amyloid β-peptide (Aβ) accumulation resulting from an imbalance between Aβ production and clearance is one of the most important causes in the…”
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    Journal Article
  3. 3

    Smartphone based visual and quantitative assays on upconversional paper sensor by Mei, Qingsong, Jing, Huarong, Li, You, Yisibashaer, Wuerzha, Chen, Jian, Nan Li, Bing, Zhang, Yong

    Published in Biosensors & bioelectronics (15-01-2016)
    “…The integration of smartphone with paper sensors recently has been gain increasing attentions because of the achievement of quantitative and rapid analysis…”
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    Journal Article
  4. 4

    Speech Emotion Recognition Using Fourier Parameters by Kunxia Wang, Ning An, Bing Nan Li, Yanyong Zhang, Lian Li

    Published in IEEE transactions on affective computing (01-01-2015)
    “…Recently, studies have been performed on harmony features for speech emotion recognition. It is found in our study that the first- and second-order differences…”
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    Journal Article
  5. 5

    Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method by Zhou, Teng, Han, Guoqiang, Nan Li, Bing, Lin, Zhizhe, Ciaccio, Edward J, Green, Peter H, Qin, Jing

    Published in Computers in biology and medicine (01-06-2017)
    “…Abstract Background . Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small…”
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    Journal Article
  6. 6

    Near-Infrared-Light-Based Nano-Platform Boosts Endosomal Escape and Controls Gene Knockdown in Vivo by Jayakumar, Muthu Kumara Gnanasammandhan, Bansal, Akshaya, Huang, Kai, Yao, Risheng, Li, Bing Nan, Zhang, Yong

    Published in ACS nano (27-05-2014)
    “…Current nanoparticle-based gene delivery techniques face two major limitations, namely, endosomal degradation and poor cytosolic release of the nanoparticles…”
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    Journal Article
  7. 7

    A non-contact real-time measurement of lamp dimension based on machine vision by Song, Li-mei, Wang, Peng-qiang, Chang, Yu-lan, Li, Xiao-jie, Xi, Jiang-tao, Guo, Qing-hua, Li, Bing-nan

    Published in Optoelectronics letters (01-03-2015)
    “…In order to realize the online measurement of lamp dimension, the bulb image dimension measurement based on vision (BIDMV) is proposed. The image of lamp is…”
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    Journal Article
  8. 8

    Oxidative cleavage-based upconversional nanosensor for visual evaluation of antioxidant activity of drugs by Mei, Qingsong, Li, You, Li, Bing Nan, Zhang, Yong

    Published in Biosensors & bioelectronics (15-02-2015)
    “…In this work, we reported a simple and effective upconversional nanoprobe for selective detection of hydroxyl radical (OH) and visual evaluation of…”
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    Journal Article
  9. 9

    A bioactive implant in situ and long-term releases combined drugs for treatment of osteoarticular tuberculosis by Zhou, Chao-Xi, Li, Litao, Ma, Yi-Guang, Li, Bing-Nan, Li, Guang, Zhou, Zhihang, Shi, Feng, Weng, Jie, Zhang, Cong, Wang, Fenghua, Cui, Xu, Wang, Lei, Wang, Hao

    Published in Biomaterials (01-09-2018)
    “…Anti-tuberculosis chemotherapy with a long duration and adequate dosing is the mainstay for treatment of osteoarticular tuberculosis (TB). However, it is…”
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    Journal Article
  10. 10

    Selective Level Set Segmentation Using Fuzzy Region Competition by Li, Bing Nan, Qin, Jing, Wang, Rong, Wang, Meng, Li, Xuelong

    Published in IEEE access (2016)
    “…Deformable models and level set methods have been extensively investigated for computerized image segmentation. However, medical image segmentation is yet one…”
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    Journal Article
  11. 11

    Robust Locality Preserving Projections With Cosine-Based Dissimilarity for Linear Dimensionality Reduction by Yu, Qiang, Wang, Rong, Li, Bing Nan, Yang, Xiaojun, Yao, Minli

    Published in IEEE access (2017)
    “…Locality preserving projection (LPP) is a classical tool for dimensionality reduction problems. However, it is sensitive to outliers because of utilizing the ℓ…”
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    Journal Article
  12. 12

    Regularized Taylor Echo State Networks for Predictive Control of Partially Observed Systems by Xiang, Kui, Li, Bing Nan, Zhang, Liyan, Pang, Muye, Wang, Meng, Li, Xuelong

    Published in IEEE access (2016)
    “…The existing neural networks suffer from partial observation while modeling and controlling dynamic systems. In this paper, a new linearized recurrent neural…”
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    Journal Article
  13. 13

    Evaluation of robust wave image processing methods for magnetic resonance elastography by Li, Bing Nan, Shan, Xiang, Xiang, Kui, An, Ning, Xu, Jinzhang, Huang, Weimin, Kobayashi, Etsuko

    Published in Computers in biology and medicine (01-11-2014)
    “…Abstract Magnetic resonance elastography (MRE) is a promising modality for in vivo quantification and visualization of soft tissue elasticity. It involves…”
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    Journal Article
  14. 14

    Block Principal Component Analysis With Nongreedy \ell -Norm Maximization by Li, Bing Nan, Yu, Qiang, Wang, Rong, Xiang, Kui, Wang, Meng, Li, Xuelong

    Published in IEEE transactions on cybernetics (01-11-2016)
    “…Block principal component analysis with ℓ 1 -norm (BPCA-L1) has demonstrated its effectiveness in a lot of visual classification and data mining tasks…”
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    Journal Article
  15. 15

    Research of Chord Recognition based on MPCP by Wang Feng, Xue-ying Zhang, Bing-nan Li

    “…In this paper, five different methods in music recognition are discussed, a new character MPCP is proposed in Chord Recognition. The new character overcome the…”
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    Conference Proceeding
  16. 16

    A new level set model for unified medical image segmentation by Xiang Shan, Bing Nan Li

    “…Level set methods (LSMs) have been extensively investigated for medical image segmentation. However, there are a few inherent drawbacks in common level set…”
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    Conference Proceeding
  17. 17

    Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation by Li, Bing Nan, Chui, Chee Kong, Chang, Stephen, Ong, S.H

    Published in Computers in biology and medicine (01-01-2011)
    “…Abstract The performance of the level set segmentation is subject to appropriate initialization and optimal configuration of controlling parameters, which…”
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    Journal Article
  18. 18

    A new unified level set method for semi-automatic liver tumor segmentation on contrast-enhanced CT images by Li, Bing Nan, Chui, Chee Kong, Chang, Stephen, Ong, Sim Heng

    Published in Expert systems with applications (01-08-2012)
    “…► Computerized liver tumor segmentation is a challenging issue. ► Segmentation confronts great variations of shape, intensity and contrast-enhancement. ►…”
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    Journal Article
  19. 19

    Image Processing and Modeling for Active Needle Steering in Liver Surgery by Bing Nan Li, Phu Binh Nguyen, Ong, S.H., Jing Qin, Liang Jing Yang, Chui, C.K.

    “…Image-guided intervention and needle steering for radiofrequency ablation (RFA) of the liver is reviewed in this paper. In particular, the concept of active…”
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    Conference Proceeding
  20. 20

    An Application of Morphological Feature Extraction and Support Vector Machines in Computerized ECG Interpretation by Wai Kei Lei, Bing Nan Li, Ming Chui Dong, Bin Bin Fu

    “…This paper presents a novel approach that recognizing heart rhythm with the combination of adaptive Hermite decomposition and support vector machines (SVM)…”
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    Conference Proceeding