144 citations · 172 across the 7 of their papers we have counts for
7 papers
LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics
Edoardo Coppola, Stefano Fiorini, Pietro Liò +2
Point-of-care cardiac devices such as smartwatches and handheld ECG recorders typically capture 1--2 leads, yet existing ECG foundation models are architecturally constrained to fi…
Preliminary Insights in Chronos Frequency Data Understanding and Reconstruction
Alessandro Pagani, Marco Cominelli, Liying Han +11
This paper presents a preliminary analysis of the ability of Chronos foundation model to process and internally represent frequency domain information. Foundation models that proce…
Rewiring Development in Brain Segmentation: Leveraging Adult Brain Priors for Enhancing Infant MRI Segmentation
Alemu Sisay Nigru, Michele Svanera, Austin Dibble +3
Accurate segmentation of infant brain MRI is critical for studying early neurodevelopment and diagnosing neurological disorders. Yet, it remains a fundamental challenge due to cont…
LiDAR Depth Map Guided Image Compression Model
Alessandro Gnutti, Stefano Della Fiore, Mattia Savardi +3
The incorporation of LiDAR technology into some high-end smartphones has unlocked numerous possibilities across various applications, including photography, image restoration, augm…
Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
Michele Svanera, Mattia Savardi, Alberto Signoroni +2
Many clinical and research studies of the human brain require an accurate structural MRI segmentation. While traditional atlas-based methods can be applied to volumes from any acqu…
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
Alberto Signoroni, Mattia Savardi, Sergio Benini +8
In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVI…
Who is the director of this movie? Automatic style recognition based on shot features
Michele Svanera, Mattia Savardi, Alberto Signoroni +2
We show how low-level formal features, such as shot duration, meant as length of camera takes, and shot scale, i.e. the distance between the camera and the subject, are distinctive…