32 citations · 87 across the 6 of their papers we have counts for
6 papers
Global graph features unveiled by unsupervised geometric deep learning
Mirja Granfors, Jesús Pineda, Blanca Zufiria Gerbolés +3
Graphs provide a powerful framework for modeling complex systems, but their structural variability poses significant challenges for analysis and classification. To address these ch…
Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks
Jesús Pineda, Sergi Masó-Orriols, Montse Masoliver +4
Single-molecule localization microscopy generates point clouds corresponding to fluorophore localizations. Spatial cluster identification and analysis of these point clouds are cru…
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Gorka Muñoz-Gil, Harshith Bachimanchi, Jesús Pineda +33
The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell component…
Preface: Characterisation of Physical Processes from Anomalous Diffusion Data
Carlo Manzo, Gorka Muñoz-Gil, Giovanni Volpe +3
Preface to the special issue "Characterisation of Physical Processes from Anomalous Diffusion Data" associated with the Anomalous Diffusion Challenge ( https://andi-challenge.org )…
AnDi: The Anomalous Diffusion Challenge
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March +3
The deviation from pure Brownian motion generally referred to as anomalous diffusion has received large attention in the scientific literature to describe many physical scenarios.…
Nonergodic subdiffusion from transient interactions with heterogeneous partners
C. Charalambous, G. Muñoz-Gil, A. Celi +4
Spatiotemporal disorder has been recently associated to the occurrence of anomalous nonergodic diffusion of molecular components in biological systems, but the underlying microscop…