Scholar
Lemuel Puglisi
Google Scholar ID: Y2qMZYoAAAAJ
University of Catania, Queen Square Analytics
Citations & Impact
Citations
59
H-index
4
i10-index
2
Publications
10
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- - August 2025: Paper 'Brain Latent Progression: Individual-based Spatiotemporal Disease Progression on 3D Brain MRIs via Latent Diffusion' accepted for publication in Medical Image Analysis
- - March 2025: Selected as a reviewer for MICCAI 2025
- - October 2024: Paper 'Brain Latent Progression' nominated and shortlisted for the MICCAI Best Paper and Young Scientist Award (top <1%)
- - September 2024: Invited as a speaker to present work on spatiotemporal disease progression modeling at the POND 2024 event, hosted by UCL in London
Research Experience
- - September 2022 - March 2023: Intern at Queen Square Analytics
- - Since March 2023: Imaging Research Scientist at Queen Square Analytics
- - Since February 2025: Visiting Researcher at UCL MANIFOLD lab, supervised by Prof. James Cole
Education
- - Bachelor's degree: Computer Science, University of Catania, graduated in July 2021 with cum laude
- - Master's degree: Computer Science specializing in data science, University of Catania, graduated in April 2023 with cum laude
- - PhD: Data-driven neurodegenerative disease progression modeling, University of Catania, started in August 2023, supervised by Prof. Daniele Ravì
Background
- Research interests center around the application of artificial intelligence (AI) to medical imaging with a focus on the study of neurodegenerative diseases, particularly Multiple Sclerosis and Alzheimer’s disease.
