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Machine learning monitoring for laser osteotomy
Shevchik, S., Nguendon Kenhagho, H., Le-Quang, T., Faivre, N., Meylan, B., Guzman, R., … Wasmer, K. (2021). Machine learning monitoring for laser osteotomy. Journal of Biophotonics, 14(4), e202000352 (11 pp.). https://doi.org/10.1002/jbio.202000352
Characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions
Nguendon Kenhagho, H., Shevchik, S., Saeidi, F., Faivre, N., Meylan, B., Rauter, G., … Zam, A. (2019). Characterization of ablated bone and muscle for long-pulsed laser ablation in dry and wet conditions. Materials, 12(8), 1338 (16 pp.). https://doi.org/10.3390/ma12081338
Laser welding quality monitoring via graph support vector machine with data adaptive kernel
Shevchik, S. A., Le-Quang, T., Farahani, F. V., Faivre, N., Meylan, B., Zanoli, S., & Wasmer, K. (2019). Laser welding quality monitoring via graph support vector machine with data adaptive kernel. IEEE Access, 7, 93108-93122. https://doi.org/10.1109/ACCESS.2019.2927661
Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation
Nguendon, H. K., Faivre, N., Meylan, B., Shevchik, S., Rauter, G., Guzman, R., … Zam, A. (2017). Characterization of ablated porcine bone and muscle using laser-induced acoustic wave method for tissue differentiation. Proceedings of SPIE: Vol. 10417. (p. 104170N (10 pp.). Presented at the European conference on biomedical optics, ECBO 2017. https://doi.org/10.1117/12.2286121