Projects per year
Personal profile
Overview
The recent success in AI together with the availability of large clinical datasets are reshaping the healthcare infrastructure with the purpose to make it more efficient, less costly, and less prone to mistakes. Based on this, my research interest lays in the development of advanced AI solutions aimed to solve challenging problems that can revolutionaries the way we identify diseases, improve patient treatments and patient monitoring. This includes helping medical practitioners to diagnose diseases (i.e. cancer or Alzheimer's) at a very early stage, guide surgeons during surgical interventions and develop smart sensors to monitor patients.
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Projects
- 3 Active
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iDOC: Artificial Intelligence Empowered Document Authoring (Innovate UK - KTP)
Livatino, S., Ravi, D. & Mporas, I.
1/02/23 → 31/07/25
Project: Research
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Commercialising next-generation AI models for ultra-efficient analysis of neurological clinical trials
1/02/21 → 31/01/24
Project: Research
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Virtual and Augmented Reality Interfaces for Artificial Intelligence Enhanced Decision-Making Processes
Livatino, S., Zocco, A., Ravi, D. & Mporas, I.
1/10/20 → 30/06/24
Project: Research
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Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia
for the Alzheimer's Disease Neuroimaging Initiative, Jan 2022, In: Medical Image Analysis. 75, 102257.Research output: Contribution to journal › Article › peer-review
Open Access -
Augmenting dementia cognitive assessment with instruction-less eye-tracking tests
Mengoudi, K., Ravi, D., Yong, K. X. X., Primativo, S., Pavisic, I. M., Brotherhood, E., Lu, K., Schott, J. M., Crutch, S. J. & Alexander, D. C., Nov 2020, In: IEEE Journal of Biomedical and Health Informatics. 24, 11, p. 3066-3075 10 p., 9124654.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)22 Downloads (Pure) -
Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches
Szczotka, A. B., Shakir, D. I., Ravì, D., Clarkson, M. J., Pereira, S. P. & Vercauteren, T., 1 Jul 2020, In: International Journal of Computer Assisted Radiology and Surgery (IJCARS). 15, 7, p. 1167-1175 9 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy
Ravì, D., Szczotka, A. B., Pereira, S. P. & Vercauteren, T., Apr 2019, In: Medical Image Analysis. 53, p. 123-131 9 p.Research output: Contribution to journal › Article › peer-review
Open Access18 Citations (Scopus) -
Current Applications and Future Promises of Machine Learning in Diffusion MRI
Ravi, D., Ghavami, N., Alexander, D. C. & Ianus, A., 2019, Mathematics and Visualization. Grussu, F., Sepehrband, F., Ning, L., Tax, C. M. W. & Bonet-Carne, E. (eds.). 226249 ed. Springer Nature, p. 105-121 17 p. (Mathematics and Visualization; no. 226249).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
4 Citations (Scopus)