DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification. - Lemuel Puglisi; Arman Eshaghi; Geoff J. M. Parker; Frederik Barkhof; Daniel C. Alexander; Daniele Ravì (MIDL, 2023)

Industrial Machines Health Prognosis Using a Transformer-Based Framework. - David J. Poland; Lemuel Puglisi; Daniele Ravì (MetroXRAINE, 2024)

SynthBA: Reliable Brain Age Estimation Across Multiple MRI Sequences and Resolutions. - Lemuel Puglisi; Alessia Rondinella; Linda De Meo; Francesco Guarnera; Sebastiano Battiato; Daniele Ravì (MetroXRAINE, 2024)

Efficient Atrophy Mapping: A Single-Step U-Net Approach for Rapid Brain Change Estimation. - Riccardo Raciti; Alessia Rondinella; Lemuel Puglisi; Francesco Guarnera; Daniele Ravì; Sebastiano Battiato (MetroXRAINE, 2024)

Enhancing Spatiotemporal Disease Progression Models via Latent Diffusion and Prior Knowledge. - Lemuel Puglisi; Daniel C. Alexander; Daniele Ravì (MICCAI (2), 2024)

An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. - Daniele Ravì; Frederik Barkhof; Daniel C. Alexander; Lemuel Puglisi; Geoffrey J. M. Parker; Arman Eshaghi (Medical Image Anal., 2024)

Brain Latent Progression: Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion. - Lemuel Puglisi; Daniel C. Alexander; Daniele Ravì (Medical Image Anal., 2025)

Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation. - Andrea Moschetto; Lemuel Puglisi; Alec Sargood; Pierluigi Dell'Acqua; Francesco Guarnera; Sebastiano Battiato; Daniele Ravì (CoRR, 2025)