output
20142025
most citedUsing smartphones and wearable devices to monitor behavioural changes during COVID-19

204 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

6 papers

eess.IV2025★ 13 cited

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…

eess.IV2024★ 1 cited

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…

q-fin.ST2024★ 1 cited

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…

cond-mat.soft2022★ 16 cited

Collective rotational motion of freely-expanding T84 epithelial cell colonies

Flora Ascione, Sergio Caserta, Speranza Esposito +6

Coordinated rotational motion is an intriguing, yet still elusive mode of collective cell migration, which is relevant in pathological and morphogenetic processes. Most of the stud…

q-bio.QM2020★ 204 cited

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…

q-bio.BM2014★ 6 cited

Iterative derivation of effective potentials to sample the conformational space of proteins at atomistic scale

R. Capelli, C. Paissoni, P. Sormanni +1

The current capacity of computers makes it possible to perform simulations of small systems with portable, explicit-solvent potentials achieving high degree of accuracy. However, s…