5 citations · 8 across the 5 of their papers we have counts for
5 papers
Improving Risk Stratification in Hypertrophic Cardiomyopathy: A Novel Score Combining Echocardiography, Clinical, and Medication Data
Marion Taconné, Valentina D. A. Corino, Annamaria Del Franco +6
Hypertrophic cardiomyopathy (HCM) requires accurate risk stratification to inform decisions regarding ICD therapy and follow-up management. Current established models, such as the…
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…
Finger-to-Chest Style Transfer-assisted Deep Learning Method For Photoplethysmogram Waveform Restoration with Timing Preservation
Sara Maria Pagotto, Federico Tognoni, Matteo Rossi +4
Wearable measurements, such as those obtained by photoplethysmogram (PPG) sensors are highly susceptible to motion artifacts and noise, affecting cardiovascular measures. Chest-acq…
MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
Andrea Moglia, Elia Clement Nastasio, Luca Mainardi +1
Problem: Pancreas radiological imaging is challenging due to the small size, blurred boundaries, and variability of shape and position of the organ among patients. Goal: In this wo…
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…