Sebastian van der Voort

Assistant Professor, APH - Digital Health Assistant Professor, APH - Methodology Assistant Professor, Medical Informatics

Specialization

federated learning, machine learning

Focus of research

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

More information

Full profile

Research institutes

Amsterdam Public Health

Research programs

Methodology

Digital Health

Latest publications

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
Reproducibility of APT-weighted CEST-MRI at 3T in healthy brain and tumor across sessions and scanners
Wu, Y., Wood, T. C., Derks, S. H. A. E., Pruis, I. J., van der Voort, S., van Zanten, S. E. M. V., Smits, M. & Warnert, E. A. H., 1 Dec 2023, In: Scientific reports. 13, 1, 18115.
Research output: Contribution to journal › Article › Academic › peer-review
From bottleneck to enabler: a new approach to regulating data-driven medical research
Stamhuis, E., Evangelista, L., van der Voort, S., Mele, A. M., Spiller, E., Demir, E., Pin, A. & Heine, K., Aug 2023, In: Clinical and translational imaging. 11, 4, p. 311-313 3 p.
Research output: Contribution to journal › Comment/Letter to the editor › Academic
All publications

Sebastian van der Voort

Specialization

Focus of research

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

Reproducibility of APT-weighted CEST-MRI at 3T in healthy brain and tumor across sessions and scanners

From bottleneck to enabler: a new approach to regulating data-driven medical research