Research
My research is focused on Machine Learning and Deep Learning for Medical Image Analysis. I develop AI algorithms that help clinicians detect diseases faster and more accurately from medical images such as CT, MRI, and X-Ray.
Research Interests
- Deep Learning for Medical Image Segmentation
- Uncertainty Estimation in Deep Learning
- Domain Adaptation and Transfer Learning
- Federated Learning for Medical Imaging
- Generative Models for Data Augmentation
Projects
EVOLUTION
Predictive models for multiple sclerosis using brain magnetic resonance imaging biomarkers.
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biomarkEM.cat
Development of novel techniques for the improvement in the medical image processing and analysis field.
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NICOLE
New technologies applied to clinical practice for obtaining biomarkers of atrophy and lesions in MRI of patients with multiple sclerosis.
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