Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution

Muhammad Febrian Rachmadi*, Maria del C. Valdés-Hernández, Rizal Maulana, Joanna Wardlaw, Stephen Makin, Henrik Skibbe

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Fingerprint

Dive into the research topics of 'Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution'. Together they form a unique fingerprint.

Mathematics

Engineering & Materials Science