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

M. Rachmadi, M. del C. Valdés Hernández, R. Maulana, J. Wardlaw, S. Makin, and H. Skibbe. PRIME@MICCAI, volume 12928 of Lecture Notes in Computer Science, page 168-180. Springer, (2021)

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Automatic Hippocampal Multimodal Assessment for Studies of Stroke and Small Vessel Disease.M. del C. Valdés Hernández, J. il Kim, I. Whiteford, X. Qiu, J. Wardlaw, and J. Park. MIUA, page 33-38. BMVA, (2014)Predicting the Evolution of White Matter Hyperintensities in Brain MRI Using Generative Adversarial Networks and Irregularity Map.M. Rachmadi, M. del C. Valdés Hernández, S. Makin, J. Wardlaw, and T. Komura. MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 146-154. Springer, (2019)The Challenges of Developing a Collaborative Data and Compute Grid for Neurosciences.J. Geddes, C. Mackay, S. Lloyd, A. Simpson, D. Power, D. Russell, M. Katzarova, M. Rossor, N. Fox, J. Fletcher and 14 other author(s). CBMS, page 81-86. IEEE Computer Society, (2006)Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain.J. Waymont, M. del C. Valdés Hernández, J. Bernal, R. Coello, R. Brown, F. Chappell, L. Ballerini, and J. Wardlaw. NeuroImage, (2024)A Comparison of Four Unsupervised Clustering Algorithms for Segmenting Brain Tissue in Multi-spectral MR Data.M. del C. Valdés Hernández, J. Wardlaw, and S. Murphy. BIOSIGNALS, page 507-514. INSTICC Press, (2010)Selective Motion Artefact Reduction via Radiomics and k-space Reconstruction for Improving Perivascular Space Quantification in Brain Magnetic Resonance Imaging.J. Bernal, W. Xu, M. del C. Valdés Hernández, J. Escudero, A. Jochems, U. Clancy, F. Doubal, M. Stringer, M. Thrippleton, R. Touyz and 1 other author(s). MIUA, volume 12722 of Lecture Notes in Computer Science, page 151-164. Springer, (2021)Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease.J. Bernal, M. del C. Valdés Hernández, J. Escudero, P. Armitage, S. Makin, R. Touyz, and J. Wardlaw. MIUA, volume 1065 of Communications in Computer and Information Science, page 282-293. Springer, (2019)Texture-based Classification for the Automatic Rating of the Perivascular Spaces in Brain MRI.V. González-Castro, M. del C. Valdés Hernández, P. Armitage, and J. Wardlaw. MIUA, volume 90 of Procedia Computer Science, page 9-14. Elsevier, (2016)Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group.N. Jahanshad, P. Kochunov, T. Nichols, E. Sprooten, R. Mandl, L. Almasy, R. Brouwer, J. Curran, G. de Zubicaray, R. Dimitrova and 27 other author(s). ISBI, page 1234-1238. IEEE, (2014)Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images.R. Ortiz-Ramon, M. del C. Valdés Hernández, V. González-Castro, S. Makin, P. Armitage, B. Aribisala, M. Bastin, I. Deary, J. Wardlaw, and D. Moratal. Comput. Medical Imaging Graph., (2019)