5 citations · 8 across the 5 of their papers we have counts for
Showing eess.IVShow all
2 papers · 1 filter
eess.IV2025★ 5 cited
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches
Andrea Moglia, Matteo Leccardi, Matteo Cavicchioli +4
Following the successful paradigm shift of large language models, leveraging pre-training on a massive corpus of data and fine-tuning on different downstream tasks, generalist mode…
eess.IV2024★ 1 cited
Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data
Lorenzo Veronese, Andrea Moglia, Luca Mainardi +1
AI-based neural decoding reconstructs visual perception by leveraging generative models to map brain activity, measured through functional MRI (fMRI), into latent hierarchical repr…