个人主要论著列表更新
1. He, Z., Y.-N. Zhu, Y. Chen, Y. Chen, Y. He, Y. Sun, T. Wang, C. Zhang, B. Sun, F. Yan, X. Zhang, Q.-F. Sun, G.-Z. Yang and Y. Feng (2023). "A deep unrolled neural network for real-time MRI-guided brain intervention." Nature Communications 14(1): 8257.
2. Lin, H., Qiu, S., Yang, Y., Yang, C., Shen, Z., Chen, Y., Zhang, Z., Feng, Y.*, & Yan, F.* (2023). Three-dimensional magnetic resonance elastography combining proton-density fat fraction precisely identifies metabolic dysfunction-associated steatohepatitis with significant fibrosis. Magnetic Resonance Imaging, 104, 1-8.
3. Huang, S., Lou, C., Zhou, Y., He, Z., Jin, X., Feng, Y., Gao, A., & Yang, G.-Z.* (2023). MRI-guided robot intervention—current state-of-the-art and new challenges. Med-X, 1(1), 4.
4. Feng, Y.*, Murphy, M. C., Hojo, E., Li, F., & Roberts, N. (2023). Magnetic Resonance Elastography in the Study of Neurodegenerative Diseases. Journal of magnetic resonance imaging.
5. Ma, S., Wang, R., Qiu, S., Li, R., Yue, Q., Sun, Q., Chen, L., Yan, F., Yang, G. Z., & Feng, Y.* (2023). MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN). IEEE Transactions on Medical Imaging, 42(9), 2631-2642.
6. Kong, L., Qiu, S., Chen, Y., He, Z., Huang, P., He, Q., Zhang, R., Feng, X-Q., Deng, L., Li, Y., Yan, F., Yang, G-Z., Feng, Y.*, Assessment of vibration modulated regional cerebral blood flow with MRI, NeuroImage, 2023, 119934.
7. Chen, Y., Li, R., Yang, Y., Ma, D., Zhou, J., Wang, C., Kong, L., Chen, Y., Yan, F., & Feng, Y.* (2022). Correlation analysis of structural and biomechanical properties of hepatocellular carcinoma tissue. Journal of Biomechanics, 141, 111227.
8. Feng, Y.*, Qiu, S. H., Chen, Y., Wang, R. K., He, Z., Kong, L. H., Chen, Y., & Ma, S. Y. (2022). Viscoelastic Characterization of Soft Tissue-Mimicking Gelatin Phantoms using Indentation and Magnetic Resonance Elastography. Jove-Journal of Visualized Experiments(183).
9. Feng, Y.*, Chen, Y., Yao, Y., Li, X., Zhang, A., & Genin, G. M. (2022). The brain as a structure: A model of how fluid–structure interactions stiffen brain tissue after injury. Engineering Structures, 256, 113960.
10. He, Z., Zhu, Y. N., Qiu, S., Wang, T., Zhang, C., Sun, B., Zhang, X.*, & Feng, Y.* (2022). Low-Rank and Framelet Based Sparsity Decomposition for Interventional MRI Reconstruction. IEEE Transactions on Biomedical Engineering, 69(7), 2294-2304.
11. Wang, R., Chen, Y., Li, R., Qiu, S., Zhang, Z., Yan, F., & Feng, Y.* (2022). Fast magnetic resonance elastography with multiphase radial encoding and harmonic motion sparsity based reconstruction. Phys Med Biol, 67(2), 25007.
12. Qiu, S., He, Z., Wang, R., Li, R., Zhang, A., Yan, F., & Feng, Y. *(2021). An electromagnetic actuator for brain magnetic resonance elastography with high frequency accuracy. NMR in Biomedicine, e4592, 1–17. (cover image paper)
13. Chen, Y., Qiu, S., He, Z., Yan, F., Li, R., & Feng, Y. *(2021). Comparative analysis of indentation and magnetic resonance elastography for measuring viscoelastic properties. Acta Mechanica Sinica, 37(3), 527–536. https://doi.org/10.1007/s10409-020-01042-2
14. Lai, C., Chen, Y., Wang, T., Liu, J., Wang, Q., Du, Y., & Feng, Y. *(2020). A machine learning approach for magnetic resonance image–based mouse brain modeling and fast computation in controlled cortical impact. Medical & Biological Engineering & Computing, 58(11), 2835-2844.
15. Chen, Y., Qiu, S., Wang, C., Li, X., Tang, Y., & Feng, Y.* (2020). Measurement of viscoelastic properties of injured mouse brain after controlled cortical impact. Biophysics Reports, 6(4), 137-145.
16. Zufiria, B., Qiu, S., Yan, K., Zhao, R., Wang, R., She, H., Zhang, C., Sun, B., Herman, P., Du, Y.,Feng, Y.* (2019). A feature-based convolutional neural network for reconstruction of interventional MRI. NMR in Biomedicine, e4231.
17. Qiu, S., Jiang, W., Alam, M. S., Chen, S., Lai, C., Wang, T., Li, X., Liu, J., Gao, M., Tang, Y., Li, X., Zeng, J.*, & Feng, Y.* (2020). Viscoelastic characterization of injured brain tissue after controlled cortical impact (CCI) using a mouse model. Journal of Neuroscience Methods, 330, 108463.
18. Li, Y.#, Lai, C. #, Zhang, C., Singer, A., Qiu, S., Sun, B., Sacks, M. S., Feng, Y.* (2019). Magnetic Resonance Image-Based Modeling for Neurosurgical Interventions. Molecular & Cellular Biomechanics, 16(4), 245–251. https://doi.org/10.32604/mcb.2019.07441
19. Ma, S., Zhu, M., Xia, X., Guo, L., Genin, G. M., Sacks, M. S., Gao, M., Mutic, S., Hu, Y., Hu, C.-h., & Feng, Y.* (2019). A preliminary study of the local biomechanical environment of liver tumors in vivo. Med Phys, 46(4), 1728-1739.
20. Pei, W., Chen, J., Wang, C., Qiu, S., Zeng, J., Gao, M., Zhou, B., Li, D., Sacks, M. S., Han, L., Shan, H., Hu, W.*, Feng, Y.*, & Zhou, G.* (2019). Regional biomechanical imaging of liver cancer cells. J Cancer, 10(19), 4481-4487.
21. Chen, Jiayao#, Bin Zhou#, Suhao Qiu#, Shengyuan Ma, Chung-Hao Lee, Ankush Aggarwal, Jianfeng Zeng, Mingyuan Gao, Yuan Feng*, Dan Li* and Hong Shan*. "Evaluation of the Laser-Induced Thermotherapy Treatment Effect of Breast Cancer Based on Tissue Viscoelastic Properties." Journal of Engineering and Science in Medical Diagnostics and Therapy 1, no. 4 (2018): 041009-041009-9.
22. Feng Y*#, Zhu M#, Qiu S, Shen P, Ma S, Zhao X, et al. A multi-purpose electromagnetic actuator for magnetic resonance elastography. Magnetic Resonance Imaging. 2018;51:29-34. IF2.38
23. Qiu, Suhao, Xuefeng Zhao, Jiayao Chen, Jianfeng Zeng, Shuangqing Chen, Lei Chen, You Meng, Biao Liu, Hong Shan, Mingyuan Gao and Yuan Feng*. "Characterizing Viscoelastic Properties of Breast Cancer Tissue in a Mouse Model Using Indentation." Journal of Biomechanics 69, (2018): 81-89.
24. S. Potter, J. Graves, B. Drach, T. Leahy, C. Hammel, Y. Feng, A. Baker and M. S. Sacks. A Novel Small-Specimen Planar Biaxial Testing System With Full In-Plane Deformation Control. Journal of biomechanical engineering 140: 051001-051001-051018, 2018.
25. L. Chen, J. Chen, S. Qiu, L. Wen, Y. Wu, Y. Hou, Y. Wang, J. Zeng, Y. Feng, Z. Li, H. Shan and M. Gao. Biodegradable Nanoagents with Short Biological Half-Life for SPECT/PAI/MRI Multimodality Imaging and PTT Therapy of Tumors. Small 2017.
26. Y. Feng*, F. Dong, X. Xia, C. H. Hu, Q. Fan, Y. Hu, M. Gao and S. Mutic. An adaptive Fuzzy C-means method utilizing neighboring information for breast tumor segmentation in ultrasound images. Med Phys 44: 3752-3760, 2017. doi: 10.1002/mp.12350.
27. Y. Feng*#, Y. Gao#, T. Wang, L. Tao, S. Qiu and X. Zhao. A longitudinal study of the mechanical properties of injured brain tissue in a mouse model. Journal of the Mechanical Behavior of Biomedical Materials 71: 407-415, 2017. doi: 10.1016/j.jmbbm.2017.04.008.
28. Y. Feng*#, C.-H. Lee#, L. Sun, S. Ji and X. Zhao. Characterizing white matter tissue in large strain via asymmetric indentation and inverse finite element modeling. Journal of the Mechanical Behavior of Biomedical Materials 65: 490-501, 2017. http://doi.org/10.1016/j.jbiomech.2017.03.025.
29. W. Zheng#, H. Yang#, G. Xuan, L. Dai, Y. Hu, S. Hu, S. Zhong, Z. Li*, M. Gao, S. Wang and Y. Feng*. Longitudinal Study of the Effects of Environmental pH on the Mechanical Properties of Aspergillus niger. ACS Biomaterials Science & Engineering 3: 2974-2979, 2017.
30. Y. Feng*, S. Qiu, X. Xia, S. Ji and C.-H. Lee. A computational study of invariant I5 in a nearly incompressible transversely isotropic model for white matter. Journal of Biomechanics 57: 146-151, 2017.
31. Y. Feng, E. H. Clayton, R. J. Okamoto, J. Engelbach, P. V. Bayly and J. R. Garbow*. A longitudinal magnetic resonance elastography study of murine brain tumors following radiation therapy. Physics in Medicine and Biology 61: 6121, 2016. doi:http://dx.doi.org/10.1088/0031-9155/61/16/6121.
32. Y. Feng*, R. J. Okamoto, G. M. Genin and P. V. Bayly. On the accuracy and fitting of transversely isotropic material models. Journal of the Mechanical Behavior of Biomedical Materials 61: 554-566, 2016. doi: 10.1016/j.jmbbm.2016.04.024.
33. Y. Feng*, H. Guo, H. Zhang, C. Li, L. Sun, S. Mutic, S. Ji and Y. Hu. A modified fuzzy c-means method for segmenting MR images using non-local information. Technol Health Care 24: S785-793, 2016.
34. Y. Feng, I. Kawrakow, J. Olsen, P. J. Parikh, C. Noel, O. Wooten, D. S. Du, S. Mutic and Y. L. Hu*. A comparative study of automatic image segmentation algorithms for target tracking in MR-IGRT. Journal of Applied Clinical Medical Physics 17: 441-460, 2016. doi:10.1120/jacmp.v17i2.5820. IF1.34
35. W. Zhang, Y. Feng, C.-H. Lee, K. L. Billiar and M. S. Sacks*. A Generalized Method for the Analysis of Planar Biaxial Mechanical Data Using Tethered Testing Configurations. Journal of biomechanical engineering 137: 064501-064501, 2015.
36. Y. Feng, R. J. Okamoto, R. Namani, G. M. Genin and P. V. Bayly*. Measurements of mechanical anisotropy in brain tissue and implications for transversely isotropic material models of white matter. Journal of the Mechanical Behavior of Biomedical Materials 23: 117-132, 2013. doi:10.1016/j.jmbbm.2013.04.007.
37. Y. Feng, E. H. Clayton, Y. Chang, R. J. Okamoto and P. V. Bayly*. Viscoelastic properties of the ferret brain measured in vivo at multiple frequencies by magnetic resonance elastography. Journal of Biomechanics 46: 863-870, 2013. doi: 10.1016/j.jbiomech.2012.12.024.
38. R. Namani, Y. Feng, R. J. Okamoto, N. Jesuraj, S. E. Sakiyama-Elbert, G. M. Genin and P. V. Bayly*. Elastic characterization of transversely isotropic soft materials by dynamic shear and asymmetric indentation. J Biomech Eng 134: 061004, 2012. doi: 10.1115/1.4006848. IF2.06
39. T. M. Abney, Y. Feng, R. Pless, R. J. Okamoto, G. M. Genin and P. V. Bayly*. Principal Component Analysis of Dynamic Relative Displacement Fields Estimated from MR Images. PLoS One 6: e22063, 2011.
40. Y. Feng, T. M. Abney, R. J. Okamoto, R. B. Pless, G. M. Genin and P. V. Bayly*. Relative brain displacement and deformation during constrained mild frontal head impact. J R Soc Interface 7: 1677-1688, 2010. doi: 10.1098/rsif.2010.0210.