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Francisco Laport

2 accepted papers

2024

A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis

ICASSP 2024accepted

Joint blind source separation (JBSS) is a powerful framework for extracting latent sources from multiple datasets while keeping their coherence across multiple linked datasets. Algorithms for JBSS, while offering the capability of improved estimation performance, often incur high computational compl…

Cited by 0SourceScholar
2024

Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks

ICASSP 2024accepted

Subgroup identification is a fundamental step in precision medicine. Recent research applying data-driven methods such as independent component/vector analysis to multi-subject functional magnetic resonance imaging (fMRI) data has effectively revealed meaningful subgroups. These methods typically fo…

Cited by 0SourceScholar