189 citations · 196 across the 3 of their papers we have counts for
5 papers
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans
Avik Hati, Matteo Bustreo, Diego Sona +2
In this paper, we tackle the task of automatically analyzing 3D volumetric scans obtained from computed tomography (CT) devices. In particular, we address a particular task for whi…
Scanner Invariant Multiple Sclerosis Lesion Segmentation from MRI
Shahab Aslani, Vittorio Murino, Michael Dayan +3
This paper presents a simple and effective generalization method for magnetic resonance imaging (MRI) segmentation when data is collected from multiple MRI scanning sites and as a…
Comparison of brain connectomes using geodesic distance on manifold:a twin study
A. Yamin, M. Dayan, L. Squarcina +4
fMRI is a unique non-invasive approach for understanding the functional organization of the human brain, and task-based fMRI promotes identification of functionally relevant brain…
Multi-branch Convolutional Neural Network for Multiple Sclerosis Lesion Segmentation
Shahab Aslani, Michael Dayan, Loredana Storelli +4
In this paper, we present an automated approach for segmenting multiple sclerosis (MS) lesions from multi-modal brain magnetic resonance images. Our method is based on a deep end-t…
Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines
Matteo Zanotto, Riccardo Volpi, Alessandro Maccione +3
The retina is a complex nervous system which encodes visual stimuli before higher order processing occurs in the visual cortex. In this study we evaluated whether information about…