Prof. Dr. Jose Bernal Moyano
Assistant Professor | Artificial Intelligence in Biomedical Engineering (AIBE)
Prof. Dr. Jose Bernal Moyano
Assistant Professor | Artificial Intelligence in Biomedical Engineering (AIBE)
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.
No projects found.
2026
- Arndt, P., Pfister, M., Müller, S.J., Perosa, V., Mattern, H., Dörner, M.,... Schreiber, S. (2026). Perivascular Spaces Are Associated With CSF Aβ in Cerebral Amyloid Angiopathy But Not in Deep Perforator Arteriopathy. Stroke, Publish Ahead of Print. https://doi.org/10.1161/STROKEAHA.125.053794
- Behrenbruch, N., Schwarck, S., Schumann-Werner, B., Molloy, E.N., Garcia-Garcia, B., Hochkeppler, A.,... Maass, A. (2026). A physically and mentally active lifestyle relates to younger brain and cognitive age. GeroScience, 48(2), 1853-1873. https://doi.org/10.1007/s11357-025-01764-w
- Lattmann, R., Vockert, N., Bernal Moyano, J.B., Wesenberg, J., Suksangkharn, Y., Yakupov, R.,... Düzel, E. (2026). Dysfunction of the episodic memory network in the Alzheimer’s disease cascade. Nature Communications, 17(1). https://doi.org/10.1038/s41467-026-71831-z
- Menze, I., Bernal, J.B., Kievit, R.A., Tripathi, K.P., Kaleck, T., Yakupov, R.,... Ziegler, G. (2026). Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance. Nature Communications, 17(1). https://doi.org/10.1038/s41467-026-74957-2
2025
- Arndt, P., Pfister, M., Perosa, V., Mattern, H., Bernal, J.B., John, A.C.,... Schreiber, S. (2025). Risk factors and clinical significance of neurodegenerative co-pathologies in symptomatic cerebral small vessel disease. Journal of Neurology, 272(5). https://doi.org/10.1007/s00415-025-13087-z
- Arndt, P., Pfister, M., Schreiber, F., Perosa, V., Mattern, H., Bernal, J.B.,... Schreiber, S. (2025). Cerebrospinal Fluid Aβ Biomarkers Predict Recurrent Hemorrhage and Identify Cerebral Amyloid Angiopathy in Patients With Lobar Hemorrhage. Journal of the American Heart Association, 14(15). https://doi.org/10.1161/JAHA.124.042614
- Bernal, J.B., & Menze, I. (2025). Editorial for “Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity”. Journal of Magnetic Resonance Imaging, 62(5), 1507-1508. https://doi.org/10.1002/jmri.70026
- Dörner, M., Pfister, M., Tyndall, A., von Känel, R., Neumann, K., Schreiber, F.,... Schreiber, S. (2025). Associations of inferior frontal sulcal hyperintensities on brain MRI with cerebral small vessel disease, cognitive function, and depression symptoms. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-87493-8
- Düzel, E., & Bernal, J.B. (2025). Chapter 6b - Advances in imaging. In Dennis Chan (Eds.), Advances in the Management of Early Alzheimer's Disease. Biological and Technological Advances. (pp. 123-148). London / San Diego, CA / Cambridge, MA: Academic Press.
- Lohner, V., Badhwar, A., Detcheverry, F.E., García, C.L., Gellersen, H.M., Khodakarami, Z.,... Bernal, J.B. (2025). Machine learning applications in vascular neuroimaging for the diagnosis and prognosis of cognitive impairment and dementia: a systematic review and meta-analysis. Alzheimer's Research and Therapy, 17(1). https://doi.org/10.1186/s13195-025-01815-6
- Nemali, A., Bernal, J.B., Yakupov, R., Singh, D., Dyrba, M., Incesoy, E.I.,... Ziegler, G. (2025). SMAS: Structural MRI-based AD Score using Bayesian supervised VAE. Computers in Biology and Medicine, 196. https://doi.org/10.1016/j.compbiomed.2025.110829
2024
- Bernal, J.B., Menze, I., Yakupov, R., Peters, O., Hellmann-Regen, J., Freiesleben, S.D.,... Ziegler, G. (2024). Longitudinal evidence for a mutually reinforcing relationship between white matter hyperintensities and cortical thickness in cognitively unimpaired older adults. Alzheimer's Research and Therapy, 16(1). https://doi.org/10.1186/s13195-024-01606-5
- Duarte Coello, R., Valdés Hernández, M.d.C., Zwanenburg, J.J., van der Velden, M., Kuijf, H.J., De Luca, A.,... Wardlaw, J.M. (2024). Detectability and accuracy of computational measurements of in-silico and physical representations of enlarged perivascular spaces from magnetic resonance images. Journal of Neuroscience Methods, 403. https://doi.org/10.1016/j.jneumeth.2023.110039
- Dörner, M., Seebach, K., Heneka, M.T., Menze, I., von Känel, R., Euler, S.,... Bernal, J.B. (2024). Inferior Frontal Sulcal Hyperintensities on Brain MRI Are Associated with Amyloid Positivity beyond Age—Results from the Multicentre Observational DELCODE Study. Diagnostics, 14(9). https://doi.org/10.3390/diagnostics14090940
- Dörner, M., Tyndall, A., Hainc, N., von Känel, R., Neumann, K., Euler, S.,... Schreiber, S. (2024). Neuropsychiatric symptoms and lifelong mental activities in cerebral amyloid angiopathy – a cross-sectional study. Alzheimer's Research and Therapy, 16(1). https://doi.org/10.1186/s13195-024-01519-3
- Menze, I., Bernal, J.B., Kaya, P., Aki, Ç., Pfister, M., Geisendörfer, J.,... Ziegler, G. (2024). Perivascular space enlargement accelerates in ageing and Alzheimer’s disease pathology: evidence from a three-year longitudinal multicentre study. Alzheimer's Research and Therapy, 16(1). https://doi.org/10.1186/s13195-024-01603-8
- Schreiber, S., Arndt, P., Morton, L., Garza, A.P., Müller, P., Neumann, K.,... Henneicke, S. (2024). Immune system activation and cognitive impairment in arterial hypertension. American Journal of Physiology-Cell Physiology, 327(6), C1577-C1590. https://doi.org/10.1152/ajpcell.00219.2024
- Valdés Hernández, M.d.C., Duarte Coello, R., Xu, W., Bernal, J.B., 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
- Vockert, N., Machts, J., Kleineidam, L., Nemali, A., Incesoy, E.I., Bernal, J.B.,... Ziegler, G. (2024). Cognitive reserve against Alzheimer’s pathology is linked to brain activity during memory formation. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-53360-9
- Waymont, J.M., Valdés Hernández, M.d.C., Bernal, J.B., 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
- Bernal, J.B., Schreiber, S., Menze, I., Ostendorf, A., Pfister, M., Geisendörfer, J.,... Ziegler, G. (2023). Arterial hypertension and β-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study. Alzheimer's Research and Therapy, 15(1). https://doi.org/10.1186/s13195-023-01243-4
- Borchert, R.J., Azevedo, T., Badhwar, A.P., Bernal, J.B., 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.B., 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
- Nemali, A., Vockert, N., Berron, D., Maas, A., Bernal, J.B., Yakupov, R.,... Ziegler, G. (2023). Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease—A systematic model evaluation. Medical Image Analysis, 90. https://doi.org/10.1016/j.media.2023.102913
- Schreiber, S., Bernal, J.B., Arndt, P., Schreiber, F., Müller, P., Morton, L.,... Mattern, H. (2023). Brain Vascular Health in ALS Is Mediated through Motor Cortex Microvascular Integrity. Cells, 12(6). https://doi.org/10.3390/cells12060957
2022
- Bernal, J.B., Kushibar, K., Clèrigues, A., Oliver, A., & Lladó, X. (2022). Deep learning for medical imaging. World Scientific Publishing Co..
- Bernal, J.B., & Mazo, C. (2022). Transparency of Artificial Intelligence in Healthcare: Insights from Professionals in Computing and Healthcare Worldwide. Applied Sciences, 12(20). https://doi.org/10.3390/app122010228
- Bernal, J.B., 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.B., 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, J.B., Valverde, S., Kushibar, K., Cabezas, M., Oliver, A., & Lladó, X. (2021). Generating Longitudinal Atrophy Evaluation Datasets on Brain Magnetic Resonance Images Using Convolutional Neural Networks and Segmentation Priors. Neuroinformatics, 19(3), 477-492. https://doi.org/10.1007/s12021-020-09499-z
- 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.B., 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.B., 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
- Clèrigues, A., Valverde, S., Bernal, J.B., Freixenet, J., Oliver, A., & Lladó, X. (2020). Acute and sub-acute stroke lesion segmentation from multimodal MRI. Computer Methods and Programs in Biomedicine, 194. https://doi.org/10.1016/j.cmpb.2020.105521