output
20222025
most citedSystem Integrated Information

21 citations

5 papers

eess.IV2025

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images

Ariadna Tohà-Dalmau, Josep Rosinés-Fonoll, Enrique Romero +11

This study aimed to develop a machine learning (ML) algorithm capable of determining cardiovascular risk in multimodal retinal images from patients with type 1 diabetes mellitus, d…

cs.LG2024★ 21 cited

Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques

V Mato-Abad, A Labiano-Fontcuberta, S Rodriguez-Yanez +9

Background and purpose: The unanticipated detection by magnetic resonance imaging (MRI) in the brain of asymptomatic subjects of white matter lesions suggestive of multiple scleros…

physics.app-ph2024★ 11 cited

Gradient descent optimization of acoustic holograms for transcranial focused ultrasound

Ahmed Sallam, Ceren Cengiz, Mihir Pewekar +4

Acoustic holographic lenses, also known as acoustic holograms, can change the phase of a transmitted wavefront in order to shape and construct complex ultrasound pressure fields, o…

q-bio.NC2022★ 21 cited

System Integrated Information

William Marshall, Matteo Grasso, William GP Mayner +7

Integrated information theory (IIT) starts from consciousness itself and identifies a set of properties (axioms) that are true of every conceivable experience. The axioms are trans…

physics.med-ph2022★ 6 cited

Effects of head modeling errors on the spatial frequency representation of MEG

Wan-Jin Yeo, Eric Larson, Joonas Iivanainen +5

Optically-pumped magnetometers (OPM) -- next-generation magnetoencephalography (MEG) sensors -- may be placed directly on the head, unlike the more commonly used superconducting qu…