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.
Amsterdam Public Health
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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
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Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies
Yordanov, T. R., Ravelli, A. C. J., Amiri, S., Vis, M. & the NHR THI Registration Committee, 5 Jul 2024, In: Frontiers in Cardiovascular Medicine. 11, p. 1399138 1399138.Research output: Contribution to journal › Article* › Academic › peer-review
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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
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