Mariano Cabezas

Mariano Cabezas is a researcher in medical imaging and computer vision, currently affiliated with Macquarie University and as an affiliate at the University of Sydney. His work focuses on automating brain MRI analysis for pathologies like multiple sclerosis, Alzheimer's disease, and tumors, with additional contributions to UAV image analysis.

• PhD in Computer Science (2013), University of Girona
• MSc in Automation, Computation, and Systems (2010), University of Girona
• BSc in Computer Science (2009), University of Girona

Research Interests:
Specializes in magnetic resonance imaging, lesion detection, deep learning, and image processing, with applications in multiple sclerosis, hearing loss, and UAV-derived ecological data. His recent work includes federated learning frameworks for cross-site MS lesion segmentation and pseudo-labeling techniques for longitudinal brain volume estimation.

Publication Trends:
Over the past five years, his research has emphasized federated learning (4 articles), lesion segmentation (9 articles), and UAV image analysis (3 articles), with a strong focus on clinical validation and cross-institutional collaboration.

Labs & Collaborations:
Contributed to the NIC-VICOROB group at the University of Girona and maintains affiliations with the Research Institute of the Hospital Vall d'Hebron (VHIR) in Barcelona and Macquarie University in Sydney. Actively develops open-source tools hosted on GitHub.