Dick Veltman

PROF.DR., (Principal Investigator)

19992024

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  • 2018

    Deep Learning for Quality Control of Subcortical Brain 3D Shape Models

    Petrov, D., Gutman, B. A., Kuznetsov, E., Ching, C. R. K., Alpert, K., Zavaliangos-Petropulu, A., Isaev, D., Turner, J. A., van Erp, T. G. M., Wang, L., Schmaal, L., Veltman, D. & Thompson, P. M., 2018, Shape in Medical Imaging - International Workshop, ShapeMI 2018, Held in Conjunction with MICCAI 2018, Proceedings. Lombaert, H., Paniagua, B., Egger, B., Lüthi, M., Reuter, M. & Wachinger, C. (eds.). Springer Verlag, Vol. 11167 LNCS. p. 268-276 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
  • 2017

    Classification of major depressive disorder via multi-site weighted LASSO model

    Zhu, D., Riedel, B. C., Jahanshad, N., Groenewold, N. A., Stein, D. J., Gotlib, I. H., Sacchet, M. D., Dima, D., Cole, J. H., Fu, C. H. Y., Walter, H., Veer, I. M., Frodl, T., Schmaal, L., Veltman, D. J. & Thompson, P. M., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Maier-Hein, L., Franz, A., Jannin, P., Duchesne, S., Descoteaux, M. & Collins, D. L. (eds.). Springer Verlag, p. 159-167 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
  • Large-scale classification of major depressive disorder via distributed Lasso

    Zhu, D., Li, Q., Riedel, B. C., Jahanshad, N., Hibar, D. P., Veer, I. M., Walter, H., Schmaal, L., Veltman, D. J., Grotegerd, D., Dannlowski, U., Sacchet, M. D., Gotlib, I. H., Ye, J. & Thompson, P. M., 2017, 12th International Symposium on Medical Information Processing and Analysis. Romero, E., Lepore, N., Brieva, J. & Larrabide, I. (eds.). SPIE, 101600Y. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 10160).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
  • Machine learning for large-scale quality control of 3D shape models in neuroimaging

    Petrov, D., Gutman, B. A., Yu, S. H. J., Alpert, K., Zavaliangos-Petropulu, A., Isaev, D., Turner, J. A., van Erp, T. G. M., Wang, L., Schmaal, L., Veltman, D. & Thompson, P. M., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 371-378 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)