8 citations · 9 across the 11 of their papers we have counts for
11 papers
ePIC Early Science Report
D. Abbott, N. Abdelrahman, S. Abhijit +781
This Early Science Report from the ePIC Collaboration outlines the compelling physics program achievable during the first years of operation of the Electron-Ion Collider (EIC), pri…
Optimal stimulation sites are not the most affected: personalised models of resting-state fMRI in Alzheimer's disease
Cristiano Capone, Enza Cece, Andrea Ciardiello +3
Resting-state functional connectivity (FC) is altered in Alzheimer's disease (AD), widely regarded as a distributed network process; whether its signature reduces to a few focal si…
APEIRON: composing smart TDAQ systems for high energy physics experiments
Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +12
We present APEIRON, a distributed heterogeneous processing framework comprising both hardware architecture and software stack for multi-FPGA systems. Targeting smart trigger and da…
Bilinear gating of motor primitives: a principle linking dendritic computation to rapid goal-directed adaptation
Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1
Movement requires the motor cortex to specify both \emph{what} action to produce and \emph{which goal} it serves, yet how individual neurons separate these factors is not understoo…
Unified Policy Value Decomposition for Rapid Adaptation
Cristiano Capone, Luca Falorsi, Andrea Ciardiello +1
Rapid adaptation in complex control systems remains a central challenge in reinforcement learning. We introduce a framework in which policy and value functions share a low-dimensio…
Radiation tolerance tests on key components of the ePIC-dRICH readout card
S. Geminiani, B. R. Achari, N. Agrawal +60
The dual-radiator RICH (dRICH) detector of the ePIC experiment will employ over 300000 SiPM pixels as photosensors, organized into more than 1000 Photon Detection Units. Each PDU i…
Real-Time Motion Correction in Magnetic Resonance Spectroscopy: AI solution inspired by fundamental science
Benedetta Argiento, Alberto Annovi, Silvia Capuani +18
Magnetic Resonance Spectroscopy (MRS) is a powerful non-invasive tool for metabolic tissue analysis but is often degraded by patient motion, limiting clinical utility. The RECENTRE…
Influence based explainability of brain tumors segmentation in multimodal Magnetic Resonance Imaging
Tommaso Torda, Andrea Ciardiello, Simona Gargiulo +4
In recent years Artificial Intelligence has emerged as a fundamental tool in medical applications. Despite this rapid development, deep neural networks remain black boxes that are…
APEIRON: composing smart TDAQ systems for high energy physics experiments
Roberto Ammendola, Andrea Biagioni, Carlotta Chiarini +11
APEIRON is a framework encompassing the general architecture of a distributed heterogeneous processing platform and the corresponding software stack, from the low level device driv…
Progress report on the online processing upgrade at the NA62 experiment
M. Turisini, R. Ammendola, A. Biagioni +10
A new FPGA-based low-level trigger processor has been installed at the NA62 experiment. It is intended to extend the features of its predecessor due to a faster interconnection tec…
Preliminary results in using Deep Learning to emulate BLOB, a nuclear interaction model
A. Ciardiello, M. Asai, B. Caccia +10
Purpose: A reliable model to simulate nuclear interactions is fundamental for Ion-therapy. We already showed how BLOB ("Boltzmann-Langevin One Body"), a model developed to simulate…