Items where Author is "Ding, X."
Charlton, P. H., Allen, J., Bailon, R. , Baker, S., Behar, J. A., Chen, F., Clifford, G. D., Clifton, D. A., Davies, H. J., Ding, C., Ding, X., Dunn, J., Elgendi, M., Ferdoushi, M., Franklin, D., Gil, E., Hassan, M. F., Hernesniemi, J., Hu, X., Ji, N., Khan, Y., Kontaxis, S., Korhonen, I., Kyriacou, P. A. 
ORCID: 0000-0002-2868-485X, Laguna, P., Lazaro, J., Lee, C., Levy, J., Li, Y., Liu, C., Liu, J., Lu, L., Mandic, D. P., Marozas, V., Mejía-Mejía, E., Mukkamala, R., Nitzan, M., Pereira, T., Poon, C. C. Y., Ramella-Roman, J. C., Saarinen, H., Shandhi, M. M. H., Shin, H., Stansby, G., Tamura, T., Vehkaoja, A., Wang, W. K., Zhang, Y-T., Zhao, N., Zheng, D. & Zhu, T. (2023).
The 2023 wearable photoplethysmography roadmap.
Physiological Measurement, 44(11),
article number 111001.
doi: 10.1088/1361-6579/acead2
Ding, X., Li, Y., Li, D. , Li, L. ORCID: 0000-0002-4026-0216 & Liu, X. (2020).
Using machine-learning approach to distinguish patients with methamphetamine dependence from healthy subjects in a virtual reality environment.
Brain and Behavior, 10(11),
article number e01814.
doi: 10.1002/brb3.1814
Fan, Q., Pozarickij, A., Tan, N. Y. Q. , Guo, X., Verhoeven, V. J. M., Vitart, V., Guggenheim, J. A., Miyake, M., Tideman, J. W. L., Khawaja, A. P., Zhang, L., MacGregor, S., Höhn, R., Chen, P., Biino, G., Wedenoja, J., Saffari, S. E., Tedja, M. S., Xie, J., Lanca, C., Wang, Y. X., Sahebjada, S., Mazur, J., Mirshahi, A., Martin, N. G., Yazar, S., Pennell, C. E., Yap, M., Haarman, A. E. G., Enthoven, C. A., Polling, J. R., Bailey-Wilson, J. E., Veluchamy, A. B., Burdon, K. P., Campbell, H., Chen, L. J., Chew, E. Y., Craig, J. E., Cumberland, P. M., Deangelis, M. M., Delcourt, C., Ding, X., Evans, D. M., Gharahkhani, P., Iglesias, A. I., Haller, T., Han, X., Hoang, Q., Igo, R. P., Iyengar, S. K., Kähönen, M., Kaprio, J., Klein, B. E., Klein, R., Lass, J. H., Lee, K., Lehtimäki, T., Lewis, D. D., Li, Q., Li, S. M., Lyytikäinen, L. P., Meguro, A., Metspalu, A., Middlebrooks, C. D., Mizuki, N., Musolf, A. M., Nickels, S., Oexle, K., Pang, C. P., Paterson, A. D., Rahi, J. S., Raitakari, O., Rudan, I., Stambolian, D., Simpson, C. L., Wang, N., Bin Wei, W., Williams, K. M., Wilson, J. F., Wojciechowski, R., Yamashiro, K., Yam, J. C. S., Zhou, X., Aslam, T., Barman, S. A., Barrett, J. H., Bishop, P., Blows, P., Bunce, C., Carare, R. O., Chakravarthy, U., Chan, M., Chua, S. Y. L., Crabb, D. P. ORCID: 0000-0001-8754-3902, Cumberland, P. M., Day, A., Desai, P., Dhillon, B., Dick, A. D. & Egan, C. (2020).
Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive error.
Communications Biology, 3(1),
article number 133.
doi: 10.1038/s42003-020-0802-y