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Engineering Sciences: Bioengineering

Mapping the main research Bioengineering topics at UTA

Highly Cited UTA Bioengineering Papers

1. Celebi, M. E., Kingravi, H. A., Uddin, B., Lyatornid, H., Aslandogan, Y. A., Stoecker, W. v, & Moss, R. H. (2007). A methodological approach to the classification of dermoscopy images. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 31(6), 362–373. https://doi.org/10.1016/j.compmedimag.2007.01.003

2. CHUONG, C. J., & FUNG, Y. C. (1986). On residual-stresses in arteries. JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 108(2), 189–192. https://doi.org/10.1115/1.3138600

3. Mehdizadeh, M., Weng, H., Gyawali, D., Tang, L. P., & Yang, J. (2012). Injectable citrate-based mussel-inspired tissue bioadhesives with high wet strength for sutureless wound closure. BIOMATERIALS, 33(32), 7972–7983. https://doi.org/10.1016/j.biomaterials.2012.07.055

4. Stevens, B., Yang, Y. Z., MohandaS, A., Stucker, B., & Nguyen, K. T. (2008). A review of materials, fabrication to enhance bone regeneration in methods, and strategies used engineered bone tissues. JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS, 85B(2), 573–582. https://doi.org/10.1002/jbm.b.30962

5. Tang, X. D., Yu, H. M., Bui, B., Wang, L. Y., Xing, C., Wang, S. Y., Chen, M. L., Hu, Z. Z., & Chen, W. (2021). Nitrogen-doped fluorescence carbon dots as multi-mechanism detection for iodide and curcumin in biological and food samples. BIOACTIVE MATERIALS, 6(6), 1541–1554. https://doi.org/10.1016/j.bioactmat.2020.11.006

6. Thevenot, P. T., Nair, A. M., Shen, J. H., Lotfi, P., Ko, C. Y., & Tang, L. P. (2010). The effect of incorporation of SDF-1α into PLGA scaffolds on stem cell recruitment and the inflammatory response. BIOMATERIALS, 31(14), 3997–4008. https://doi.org/10.1016/j.biomaterials.2010.01.144

7. Wu, J. L., & Hong, Y. (2016). Enhancing cell infiltration of electrospun fibrous scaffolds in tissue regeneration. BIOACTIVE MATERIALS, 1(1), 56–64. https://doi.org/10.1016/j.bioactmat.2016.07.001

8. Xie, Z. W., Paras, C. B., Weng, H., Punnakitikashem, P., Su, L. C., Vu, K., Tang, L. P., Yang, J., & Nguyen, K. T. (2013). Dual growth factor releasing multi-functional nanofibers for wound healing. ACTA BIOMATERIALIA, 9(12), 9351–9359. https://doi.org/10.1016/j.actbio.2013.07.030

9. Yao, J. W., Zhu, X. L., Jonnagaddala, J., Hawkins, N., & Huang, J. Z. (2020). Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks. MEDICAL IMAGE ANALYSIS, 65. https://doi.org/10.1016/j.media.2020.101789

10. Zhang, S. T., Zhan, Y. Q., Dewan, M., Huang, J. Z., Metaxas, D. N., & Zhou, X. S. (2012). Towards robust and effective shape modeling: Sparse shape composition. MEDICAL IMAGE ANALYSIS, 16(1), 265–277. https://doi.org/10.1016/j.media.2011.08.004