My research revolves around cerebral small vessel disease, a condition that affects the brain’s smallest blood vessels and is a leading cause of stroke and dementia worldwide. I use artificial intelligence to analyse brain scans to understand how the disease progresses and how it affects everyday functioning. These insights are essential for improving early diagnosis and, ultimately, for guiding the development of more effective treatments.
Research projects
Development and validation of artificial intelligence methods for segmenting imaging markers of cerebral small vessel disease.
Large scale application of artificial intelligence methods to characterise and longitudinally track imaging markers of cerebral small vessel disease, and to investigate their origins and clinical implications.
Recent publications
2024
Valdés Hernández, M.d.C., Duarte Coello, R., Xu, W., Bernal, J., Cheng, Y., Ballerini, L.,... Wardlaw, J.M. (2024). Influence of threshold selection and image sequence in in-vivo segmentation of enlarged perivascular spaces . Journal of Neuroscience Methods , 403 . https://doi.org/10.1016/j.jneumeth.2023.110037
Waymont, J.M., Valdés Hernández, M.d.C., Bernal, J., Duarte Coello, R., Brown, R., Chappell, F.M.,... Wardlaw, J.M. (2024). Systematic review and meta-analysis of automated methods for quantifying enlarged perivascular spaces in the brain . NeuroImage , 297 . https://doi.org/10.1016/j.neuroimage.2024.120685
2023
Borchert, R.J., Azevedo, T., Badhwar, A.P., Bernal, J., Betts, M., Bruffaerts, R.,... Rittman, T. (2023). Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review . Alzheimers & Dementia , 19 (12), 5885-5904. https://doi.org/10.1002/alz.13412
Moullaali, T.J., Walters, R., Rodrigues, M., Samarasekera, N., Bernal, J., Wang, X.,... McKinstry, B. (2023). Association between systolic blood pressure variability and severity of cerebral amyloid angiopathy in incident intracerebral hemorrhage . Frontiers in Stroke , 2 . https://doi.org/10.3389/fstro.2023.1278610
2022
Bernal, J., Valdés-Hernández, M.D., Escudero, J., Duarte, R., Ballerini, L., Bastin, M.E.,... Wardlaw, J.M. (2022). Assessment of perivascular space filtering methods using a three-dimensional computational model . Magnetic Resonance Imaging , 93 , 33-51. https://doi.org/10.1016/j.mri.2022.07.016
2021
Bernal, J., Valdés-Hernández, M.d., Escudero, J., Heye, A.K., Sakka, E., Armitage, P.A.,... Thrippleton, M.J. (2021). A four-dimensional computational model of dynamic contrast-enhanced magnetic resonance imaging measurement of subtle blood-brain barrier leakage . NeuroImage , 230 . https://doi.org/10.1016/j.neuroimage.2021.117786
Bernal Moyano, J.B., Escobar, J.W., & Linfati, R. (2021). A simulated annealing-based approach for a real case study of vehicle routing problem with a heterogeneous fleet and time windows . International Journal of Shipping and Transport Logistics , 13 (1-2), 185-204. https://doi.org/10.1504/IJSTL.2021.112923
Carvajal-Camelo, E.E., Bernal, J., Oliver, A., Lladó, X., & Trujillo, M. (2021). Evaluating the effect of intensity standardisation on longitudinal whole brain atrophy quantification in brain magnetic resonance imaging . Applied Sciences , 11 (4), 1-19. https://doi.org/10.3390/app11041773
2020
Bernal, J., Valdés-Hernández, M., Escudero, J., Sakka, E., Armitage, P.A., Makin, S.,... Wardlaw, J.M. (2020). Examining the relationship between semiquantitative methods analysing concentration-time and enhancement-time curves from dynamic-contrast enhanced magnetic resonance imaging and cerebrovascular dysfunction in small vessel disease . Journal of Imaging , 6 (6). https://doi.org/10.3390/jimaging6060043
Bernal, J., Valdés-Hernández, M.d.C., Escudero, J., Viksne, L., Heye, A.K., Armitage, P.A.,... Wardlaw, J.M. (2020). Analysis of dynamic texture and spatial spectral descriptors of dynamic contrast-enhanced brain magnetic resonance images for studying small vessel disease . Magnetic Resonance Imaging , 66 , 240-247. https://doi.org/10.1016/j.mri.2019.11.001
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My research revolves around cerebral small vessel disease, a condition that affects the brain’s smallest blood vessels and is a leading cause of stroke and dementia worldwide. I use artificial intelligence to analyse brain scans to understand how the disease progresses and how it affects everyday functioning. These insights are essential for improving early diagnosis and, ultimately, for guiding the development of more effective treatments.
Research projects
No projects found.
2024
2023
2022
2021
2020
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