output
19932026
most citedDeep learning for cardiac image segmentation: A review

870 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
Showing physics.soc-phShow all

8 papers · 1 filter

physics.soc-ph2025★ 4 cited

Multilayer network science: theory, methods, and applications

Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14

Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…

physics.soc-ph2019★ 26 cited

On the relation between Transversal and Longitudinal Scaling in Cities

Fabiano L. Ribeiro, Joao Meirelles, Vinicius M. Netto +2

Given that a group of cities follows a scaling law connecting urban population with socio-economic or infrastructural metrics (transversal scaling), should we expect that each city…

physics.soc-ph2018★ 73 cited

Evolution of urban scaling: evidence from Brazil

Joao Meirelles, Camilo Rodrigues Neto, Fernando Fagundes Ferreira +2

During the last years, the new science of municipalities has been established as a fertile quantitative approach to systematically understand the urban phenomena. One of its main p…

physics.soc-ph2017★ 204 cited

Evolutionary dynamics of the cryptocurrency market

Abeer ElBahrawy, Laura Alessandretti, Anne Kandler +2

The cryptocurrency market surpassed the barrier of $100 billion market capitalization in June 2017, after months of steady growth. Despite its increasing relevance in the financia…

physics.soc-ph2017★ 62 cited

Random walks on activity-driven networks with attractiveness

Laura Alessandretti, Kaiyuan Sun, Andrea Baronchelli +1

Virtually all real-world networks are dynamical entities. In social networks, the propensity of nodes to engage in social interactions (activity) and their chances to be selected b…

physics.soc-ph2016★ 29 cited

Effects of temporal correlations in social multiplex networks

Michele Starnini, Andrea Baronchelli, Romualdo Pastor-Satorras

Multi-layered networks represent a major advance in the description of natural complex systems, and their study has shed light on new physical phenomena. Despite its importance, ho…

physics.soc-ph2014★ 29 cited

Model reproduces individual, group and collective dynamics of human contact networks

Michele Starnini, Andrea Baronchelli, Romualdo Pastor-Satorras

Empirical data on the dynamics of human face-to-face interactions across a variety of social venues have recently revealed a number of context-independent structural and temporal p…

physics.soc-ph2014★ 8 cited

Damage detection via shortest path network sampling

Fabio Ciulla, Nicola Perra, Andrea Baronchelli +1

Large networked systems are constantly exposed to local damages and failures that can alter their functionality. The knowledge of the structure of these systems is however often de…