204 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Istituti di Ricovero e Cura a Carattere ScientificoIT5 papers
- IRCCS Ospedale San RaffaeleIT4 papers
- Istituto di Ricovero e Cura a Carattere Scientifico San RaffaeleIT3 papers
- Politecnico di MilanoIT3 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT2 papers
- San Raffaele University of RomeIT2 papers
- Umeå UniversitySE2 papers
- Università Campus Bio-MedicoIT2 papers
- Alcatel Lucent (Germany)DE1 paper
- Amsterdam NeuroscienceNL1 paper
- Amsterdam Public HealthNL1 paper
- Amsterdam University Medical CentersNL1 paper
15 papers
Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET
Fatih Aksu, Laura Ciuffetti, Francesco Di Feola +6
Accurate histological differentiation between adenocarcinoma (ADC) and squamous cell carcinoma (SCC) is critical for personalized treatment in non-small cell lung cancer (NSCLC). W…
Quantum computing for genomics: conceptual challenges and practical perspectives
Aurora Maurizio, Guglielmo Mazzola
We assess the potential of quantum computing to accelerate computation of central tasks in genomics, focusing on often-neglected theoretical limitations. We discuss state-of-the-ar…
SIEGE IV: compact star clusters in cosmological simulations with high star formation efficiency and sub-parsec resolution
R. Pascale, F. Calura, E. Vesperini +10
The formation of compact high-redshift star-forming clumps, the physical processes driving their evolution and their potential connection to present-day Globular Clusters are key o…
Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET
Fatih Aksu, Fabrizia Gelardi, Arturo Chiti +1
Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essential in the era of precision medicine, yet current invasive techniques are not always…
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…
Functional Clustering of Discount Functions for Behavioral Investor Profiling
Annamaria Porreca, Viviana Ventre, Roberta Martino +2
Classical finance models are based on the premise that investors act rationally and utilize all available information when making portfolio decisions. However, these models often f…
A Deep Learning-Based Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis From 3D Echocardiography
Riccardo Munafò, Simone Saitta, Giacomo Ingallina +5
Three-dimensional transesophageal echocardiography (3DTEE) is the recommended imaging technique for the assessment of mitral valve (MV) morphology and lesions in case of mitral reg…
Enhanced laser-driven proton acceleration via improved fast electron heating in a controlled pre-plasma
L. A. Gizzi, E. Boella, L. Labate +10
The interaction of ultraintense laser pulses with solids is largely affected by the plasma gradient at the vacuum-solid interface, which modifies the absorption and ultimately, con…
Robustly estimating the COVID19 epidemic curve in northern Italy using all-cause mortality
Luca Presotto
Background: Northern Italy was one of the most impacted areas by COVID. It is now widely assumed that the virus was silently spreading for at least 2 weeks before the first patient…
Using smartphones and wearable devices to monitor behavioural changes during COVID-19
Shaoxiong Sun, Amos Folarin, Yatharth Ranjan +23
We aimed to explore the utility of the recently developed open-source mobile health platform RADAR-base as a toolbox to rapidly test the effect and response to NPIs aimed at limiti…
The structure of N184K amyloidogenic variant of gelsolin highlights the role of the H-bond network for protein stability and aggregation properties
Matteo de Rosa, Alberto Barbiroli, Francesco Bonì +8
Mutations in the gelsolin protein are responsible for a rare conformational disease known as AGel amyloidosis. Four of these mutations are hosted by the second domain of the protei…
Sinogram Space activity estimation for the IAEA PGET detector
Luca Presotto
In spring 2019 the international atomic energy agency (IAEA) has run a public competition to look at tomographic reconstruction algorithms for its PGET detector, used to determine…
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…
The REsonant Multi-Pulse Ionization injection
Paolo Tomassini, Sergio De Nicola, Luca Labate +4
The production of high-quality electron bunches in Laser Wake Field Acceleration relies on the possibility to inject ultra-low emittance bunches in the plasma wave. In this paper w…
Confidence Statements for Ordering Quantiles
Carlos A. de B. Pereira, Cassio P. de Campos, Adriano Polpo
This work proposes Quor, a simple yet effective nonparametric method to compare independent samples with respect to corresponding quantiles of their populations. The method is sole…