Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution
Published in Predictive Intelligence in Medicine. PRIME 2021., 2021
This paper about predicting evolution of White Matter Hyperintensities (WMHs) using probabilistic deep learning.
Rachmadi, M.F., Valdés-Hernández, M.d.C., Maulana, R., Wardlaw, J., Makin, S., Skibbe, H. (2021). “Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution”. In: Rekik, I., Adeli, E., Park, S.H., Schnabel, J. (eds) Predictive Intelligence in Medicine. PRIME 2021. Lecture Notes in Computer Science(), vol 12928. Springer, Cham. https://doi.org/10.1007/978-3-030-87602-9_16.