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LemuelPuglisi/README.md

Hi, I'm Lemuel Puglisi.

I'm a researcher at Queen Square Analytics (🇬🇧,🫘) and a PhD student at the University of Catania (🇮🇹,🤌).

My research focuses on:

  • Generative AI for 4D disease progression modeling [1, 2] and medical image-to-image translation [3]
  • Assessing memorisation in generative models [4] (self-supervised learning) and MRI re-identification [5] (contrastive learning)
  • Contrast-agnostic brain age prediction [6] (domain randomization)

I also work on various other topics related to medical image analysis and generative AI (e.g., diffusion models, flow matching).

You can reach me at: lemuel.puglisi [AT] phd.unict.it

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  1. BrLP BrLP Public

    [MICCAI'2024 (Oral, Best Paper Award candidate), MedIA 2025] Official implementation of the Brain Latent Progression (BrLP) method from "Enhancing Spatiotemporal Disease Progression Models via Late…

    Python 103 9

  2. brAIn-science/CoCoLIT brAIn-science/CoCoLIT Public

    [preprint, 2025] Official implementation of "CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis".

    Python 3

  3. SynthBA SynthBA Public

    [IEEE MetroXRAINE'2024] Official implementation of "SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions".

    Python 14 1

  4. brAIn-science/DeepSSIM brAIn-science/DeepSSIM Public

    [preprint, 2025] Official implementation of "A Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis"

    2

  5. Queen-Square-Analytics/automatic-quality-control Queen-Square-Analytics/automatic-quality-control Public

    [MedIA, 2024] Official Implementation of "An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training"

    Python 8 4

  6. turboprep turboprep Public

    MRI preprocessing / segmentation in under 30s

    Shell 12 3