144 citations · 172 across the 7 of their papers we have counts for
4 papers · 1 filter
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…