Sebastian Voort, van der

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Sebastian van der Voort

 https://orcid.org/0000-0002-6526-8126
20162024

Research activity per year

Personal profile

specialisation

federated learning, machine learning

Research interests

I am working on federated learning, attempting to make more medical data available for machine learning algorithms while maintaining data privacy.

Education/Academic qualification

PhD, Eye To AI: MR image analysis of glioma using machine learning, Erasmus Universiteit Rotterdam: Erasmus MC

Award Date: 26 Oct 2021

Collaborations and top research areas from the last five years

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  • 19 Article
  • 6 Conference contribution
  • 2 Comment/Letter to the editor

  • MRI-Based Assessment of Brain Tumor Hypoxia: Correlation with Histology

    Arzanforoosh, F., Van der Velden, M., Berman, A. J. L., Van der Voort, S. R., Bos, E. M., Schouten, J. W., Vincent, A. J. P. E., Kros, J. M., Smits, M. & Warnert, E. A. H., Jan 2024, In: Cancers. 16, 1, 138.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access

  • Probing the glioma microvasculature: a case series of the comparison between perfusion MRI and intraoperative high-frame-rate ultrafast Doppler ultrasound

    Alafandi, A., Tbalvandany, S. S., Arzanforoosh, F., van der Voort, S. R., Incekara, F., Verhoef, L., Warnert, E. A. H., Kruizinga, P. & Smits, M., 1 Dec 2024, In: European Radiology Experimental. 8, 1, 13.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    1 Citation (Scopus)

  • Association of pre-radiotherapy tumour burden and overall survival in newly diagnosed glioblastoma adjusted for MGMT promoter methylation status

    Alafandi, A., van Garderen, K. A., Klein, S., van der Voort, S. R., Rizopoulos, D., Nabors, L., Stupp, R., Weller, M., Gorlia, T., Tonn, J. C. & Smits, M., 1 Jul 2023, In: European Journal of Cancer. 188, p. 122-130 9 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    2 Citations (Scopus)

  • Author Correction: Federated learning enables big data for rare cancer boundary detection (Nature Communications, (2022), 13, 1, (7346), 10.1038/s41467-022-33407-5)

    Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., Sako, C., Ghodasara, S., Bilello, M., Mohan, S., Vollmuth, P., Brugnara, G., Preetha, C. J., Sahm, F., Maier-Hein, K., Zenk, M., & 259 othersBendszus, M., Wick, W., Calabrese, E., Rudie, J., Villanueva-Meyer, J., Cha, S., Ingalhalikar, M., Jadhav, M., Pandey, U., Saini, J., Garrett, J., Larson, M., Jeraj, R., Currie, S., Frood, R., Fatania, K., Huang, R. Y., Chang, K., Balaña, C., Capellades, J., Puig, J., Trenkler, J., Pichler, J., Necker, G., Haunschmidt, A., Meckel, S., Shukla, G., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., Flanders, A. E., Dicker, A. P., Sair, H. I., Jones, C. K., Venkataraman, A., Jiang, M., So, T. Y., Chen, C., Heng, P. A., Dou, Q., Kozubek, M., Lux, F., Michálek, J., Matula, P., Keřkovský, M., Kopřivová, T., Dostál, M., Vybíhal, V. C., Vogelbaum, M. A., Mitchell, J. R., Farinhas, J., Maldjian, J. A., Yogananda, C. G. B., Pinho, M. C., Reddy, D., Holcomb, J., Wagner, B. C., Ellingson, B. M., Cloughesy, T. F., Raymond, C., Oughourlian, T., Hagiwara, A., Wang, C., To, M-S., Bhardwaj, S., Chong, C., Agzarian, M., Falcão, A. X., Martins, S. B., Teixeira, B. C. A., Sprenger, F., Menotti, D., Lucio, D. R., LaMontagne, P., Marcus, D., Wiestler, B., Kofler, F., Ezhov, I., Metz, M., Jain, R., Lee, M., Lui, Y. W., McKinley, R., Slotboom, J., Radojewski, P., Meier, R., Wiest, R., Murcia, D., Fu, E., Haas, R., Thompson, J., Ormond, D. R., Badve, C., Sloan, A. E., Vadmal, V., Waite, K., Colen, R. R., Pei, L., Ak, M., Srinivasan, A., Bapuraj, J. R., Rao, A., Wang, N., Yoshiaki, O., Moritani, T., Turk, S., Lee, J., Prabhudesai, S., Morón, F., Mandel, J., Kamnitsas, K., Glocker, B., Dixon, L. V. M., Williams, M., Zampakis, P., Panagiotopoulos, V., Tsiganos, P., Alexiou, S., Haliassos, I., Zacharaki, E. I., Moustakas, K., Kalogeropoulou, C., Kardamakis, D. M., Choi, Y. S., Lee, S-K., Chang, J. H., Ahn, S. S., Luo, B., Poisson, L., Wen, N., Tiwari, P., Verma, R., Bareja, R., Yadav, I., Chen, J., Kumar, N., Smits, M., van der Voort, S. R., Alafandi, A., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Dubbink, H. J., Vincent, A. J. P. E., van den Bent, M. J., French, P. J., Klein, S., Yuan, Y., Sharma, S., Tseng, T-C., Adabi, S., Niclou, S. P., Keunen, O., Hau, A-C., Vallières, M., Fortin, D., Lepage, M., Landman, B., Ramadass, K., Xu, K., Chotai, S., Chambless, L. B., Mistry, A., Thompson, R. C., Gusev, Y., Bhuvaneshwar, K., Sayah, A., Bencheqroun, C., Belouali, A., Madhavan, S., Booth, T. C., Chelliah, A., Modat, M., Shuaib, H., Dragos, C., Abayazeed, A., Kolodziej, K., Hill, M., Abbassy, A., Gamal, S., Mekhaimar, M., Qayati, M., Reyes, M., Park, J. E., Yun, J., Kim, H. S., Mahajan, A., Muzi, M., Benson, S., Beets-Tan, R. G. H., Teuwen, J., Herrera-Trujillo, A., Trujillo, M., Escobar, W., Abello, A., Bernal, J., Gómez, J., Choi, J., Baek, S., Kim, Y., Ismael, H., Allen, B., Buatti, J. M., Kotrotsou, A., Li, H., Weiss, T., Weller, M., Bink, A., Pouymayou, B., Shaykh, H. F., Saltz, J., Prasanna, P., Shrestha, S., Mani, K. M., Payne, D., Kurc, T., Pelaez, E., Franco-Maldonado, H., Loayza, F., Quevedo, S., Guevara, P., Torche, E., Mendoza, C., Vera, F., Ríos, E., López, E., Velastin, S. A., Ogbole, G., Soneye, M., Oyekunle, D., Odafe-Oyibotha, O., Osobu, B., Shu’aibu, M., Dorcas, A., Dako, F., Simpson, A. L., Hamghalam, M., Peoples, J. J., Hu, R., Tran, A., Cutler, D., Moraes, F. Y., Boss, M. A., Gimpel, J., Veettil, D. K., Schmidt, K., Bialecki, B., Marella, S., Price, C., Cimino, L., Apgar, C., Shah, P., Menze, B., Barnholtz-Sloan, J. S., Martin, J. & Bakas, S., 1 Dec 2023, In: Nature communications. 14, 1, 436.

    Research output: Contribution to journal › Comment/Letter to the editor › Academic

    Open Access
    1 Citation (Scopus)

  • Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning

    van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapsas, G., Gahrmann, R., Schouten, J. W., Nandoe Tewarie, R., Lycklama, G. J., de Witt Hamer, P. C., Eijgelaar, R. S., French, P. J., Dubbink, H. J., Vincent, A. J. P. E., Niessen, W. J., van den Bent, M. J., Smits, M. & Klein, S., 1 Feb 2023, In: Neuro-oncology. 25, 2, p. 279-289 11 p.

    Research output: Contribution to journal › Article › Academic › peer-review

    Open Access
    41 Citations (Scopus)
View all 27 research outputs