Frangi, Alejandro F.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Lekadir, K., Frangi, A. F., Porras, A. R., Glocker, B., Cintas, C., Langlotz, C. P., Weicken, E., Asselbergs, F. W., Prior, F., Collins, G. S., et al. (2025) · BMJ

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 957

The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions

Littlejohns, T. J., Holliday, J., Gibson, L. M., Garratt, S., Oesingmann, N., Alfaro-Almagro, F., Bell, J. D., Boultwood, C., Collins, R., Conroy, M. C., et al. (2020) · Nature Communications

Advanced MRI Techniques and ApplicationsHealth, Environment, Cognitive Aging

Cited by 812

Modifiable Lifestyle Factors in Dementia: A Systematic Review of Longitudinal Observational Cohort Studies

Di Marco, L. Y., Marzo, A., Muñoz-Ruiz, M., Ikram, M. A., Kivipelto, M., Ruefenacht, D., Venneri, A., Soininen, H., Wanke, I., Ventikos, Y. A., et al. (2014) · Journal of Alzheimer's Disease

Dementia and Cognitive Impairment ResearchNutritional Studies and Diet

Cited by 215

Deep Learning in Medical Image Registration

Chen, X., Diaz-Pinto, A., Ravikumar, N., & Frangi, A. (2020) · Progress in Biomedical Engineering

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 106

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge

Suinesiaputra, A., Dhooge, J., Duchateau, N., Ehrhardt, J., Frangi, A. F., Gooya, A., Grau, V., Lekadir, K., Lu, A., Mukhopadhyay, A., et al. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 95

In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials

Sarrami-Foroushani, A., Lassila, T., MacRaild, M., Asquith, J., Roes, K. C. B., Byrne, J. V., & Frangi, A. F. (2021) · Nature Communications

Intracranial Aneurysms: Treatment and ComplicationsAortic aneurysm repair treatments

Cited by 83

Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding

Coelho, S., Pozo, J. M., Jespersen, S. N., Jones, D. K., & Frangi, A. F. (2019) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 76

Accuracy and reproducibility of patient-specific hemodynamic models of stented intracranial aneurysms: report on the Virtual Intracranial Stenting Challenge 2011

Cito, S., Geers, A. J., Arroyo, M. P., Palero, V. R., Pallarés, J., Vernet, A., Blasco, J., San Román, L., Fu, W., Qiao, A., et al. (2015) · Annals of Biomedical Engineering

Intracranial Aneurysms: Treatment and ComplicationsCerebrovascular and Carotid Artery Diseases

Cited by 20