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  • 2017

    Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging

    [Unknown], ENIGMA., Petrov, D., Gutman, B. A., Yu, S-H. J., van Erp, T. G. M., Schmaal, L., Veltman, D., Alpert, K., Isaev, D., Zavaliangos-Petropulu, A., Ching, C. R. K., Calhoun, V., Glahn, D., Satterthwaite, T. D., Andreasen, O. A., Borgwardt, S., Howells, F., Groenewold, N., Voineskos, A., Radua, J., & 31 othersPotkin, S. G., Crespo-Facorro, B., Tordesillas-Gutiérrez, D., Shen, L., Lebedeva, I., Spalletta, G., Donohoe, G., Kochunov, P., Rosa, P. G. P., James, A., Dannlowski, U., Baune, B. T., Aleman, A., Gotlib, I. H., Walter, H., Walter, M., Soares, J. C., Ehrlich, S., Gur, R. C., Doan, N. T., Agartz, I., Westlye, L. T., Harrisberger, F., Riecher-Rössler, A., Uhlmann, A., Stein, D. J., Dickie, E. W., Pomarol-Clotet, E., Fuentes-Claramonte, P., Canales-Rodríguez, E. J. & Walton, E., Sep 2017, Machine Learning in Medical Imaging. MLMI 2017. Wang, Q., Shi, Y., Suk, H. I. & Suzuki, K. (eds.). Cham, Switzerland: Springer, p. 371-378 8 p. (Lecture Notes in Computer Science; vol. 10541).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
    3 Citations (SciVal)