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Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map., , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 146-154. Springer, (2019)Probabilistic Deep Learning with Adversarial Training and Volume Interval Estimation - Better Ways to Perform and Evaluate Predictive Models for White Matter Hyperintensities Evolution., , , , , и . PRIME@MICCAI, том 12928 из Lecture Notes in Computer Science, стр. 168-180. Springer, (2021)Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease., , , , , , и . MIUA, том 1065 из Communications in Computer and Information Science, стр. 282-293. Springer, (2019)Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images., , , , , , , , , и . Comput. Medical Imaging Graph., (2019)Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss., , , , , , , и . MICCAI (1), том 11070 из Lecture Notes in Computer Science, стр. 39-47. Springer, (2018)