Boss, Michael A.

Federated learning enables big data for rare cancer boundary detection

Pati, S., Baid, U., Edwards, B., Sheller, M., Wang, S.-H., Reina, G. A., Foley, P., Gruzdev, A., Karkada, D., Davatzikos, C., et al. (2022) · Nature Communications

Privacy-Preserving Technologies in DataBrain Tumor Detection and Classification

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Toward precision and reproducibility of diffusion tensor imaging: a multicenter diffusion phantom and traveling volunteer study

Palacios, E. M., Martin, A. J., Boss, M. A., Ezekiel, F., Chang, Y. S., Yuh, E. L., Vassar, M. J., Schnyer, D. M., MacDonald, C. L., Crawford, K. L., et al. (2017) · American Journal of Neuroradiology

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

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Accuracy, repeatability, and interplatform reproducibility of T 1 quantification methods used for DCE‐MRI: Results from a multicenter phantom study

Bane, O., Hectors, S. J., Wagner, M., Arlinghaus, L. L., Aryal, M. P., Cao, Y., Chenevert, T. L., Fennessy, F., Huang, W., Hylton, N. M., et al. (2018) · Magnetic Resonance in Medicine

Advanced MRI Techniques and ApplicationsMRI in cancer diagnosis

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