Panagiotis G. Simos

Orcid: 0000-0002-0116-8564

According to our database1, Panagiotis G. Simos authored at least 35 papers between 1996 and 2023.

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Bibliography

2023
Predicting Quality of Life for Breast Cancer Patients <sup>*</sup>.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Multisubject Task-Related fMRI Data Processing via a Two-Stage Generalized Canonical Correlation Analysis.
IEEE Trans. Image Process., 2022

Changes in resting-state functional connectivity in neuropsychiatric lupus: A dynamic approach based on recurrence quantification analysis.
Biomed. Signal Process. Control., 2022

Trajectories and Predictors of Depression After Breast Cancer Diagnosis: A 1-year longitudinal study.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Explainable machine learning analysis of longitudinal mental health trajectories after breast cancer diagnosis.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects.
Comput. Biol. Medicine, 2021

Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests<sup>1</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Automated facial video-based recognition of depression and anxiety symptom severity: cross-corpus validation.
Mach. Vis. Appl., 2020

Multi-subject Resting-State fMRI Data Analysis via Generalized Canonical Correlation Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

Multi-subject Task-related fMRI Data Analysis via Generalized Canonical Correlation Analysis <sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Automatic Assessment of Depression Based on Visual Cues: A Systematic Review.
IEEE Trans. Affect. Comput., 2019

Developing a Data Infrastructure for Enabling Breast Cancer Women to BOUNCE Back.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Computational Modeling of Psychological Resilience Trajectories During Breast Cancer Treatment.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Video-based Pain Level Assessment: Feature Selection and Inter-Subject Variability Modeling.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Head Movements in Context of Speech during Stress Induction.
Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

2017
Neural foundations of overt and covert actions.
NeuroImage, 2017

Quantitative comparison of motion history image variants for video-based depression assessment.
EURASIP J. Image Video Process., 2017

Stress and anxiety detection using facial cues from videos.
Biomed. Signal Process. Control., 2017

Data-Driven Topological Filtering Based on Orthogonal Minimal Spanning Trees: Application to Multigroup Magnetoencephalography Resting-State Connectivity.
Brain Connect., 2017

Facial geometry and speech analysis for depression detection.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Preliminary Evaluation of a Web-Oriented Assessment Tool for Emotion Recognition.
Proceedings of the pHealth 2016, 2016

Depression Assessment by Fusing High and Low Level Features from Audio, Video, and Text.
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016

Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Exploring students' affect and achievement goals in the context of an intervention to improve web searching skills.
Comput. Hum. Behav., 2015

Designing a framework for assisting depression severity assessment from facial image analysis.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

Extraction of facial features as indicators of stress and anxiety.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2013
Altered temporal correlations in resting-state connectivity fluctuations in children with reading difficulties detected via MEG.
NeuroImage, 2013

Single-trial linear correlation analysis: application to characterization of stimulus modality effects.
Frontiers Comput. Neurosci., 2013

2011
Extracting biomarkers of autism from MEG resting-state functional connectivity networks.
Comput. Biol. Medicine, 2011

Savion: an interactive cognitive enhancement software for the elderly.
Proceedings of the PETRA 2011, 2011

2004
Integrating sensory and motor mapping in a comprehensive MEG protocol: Clinical validity and replicability.
NeuroImage, 2004

2003
Differential brain activation patterns during perception of voice and tone onset time series: a MEG study.
NeuroImage, 2003

Modulation of brain magnetic activity by different verbal learning strategies.
NeuroImage, 2003

1996
Nonlinear alignment and averaging for estimating the evoked potential.
IEEE Trans. Biomed. Eng., 1996


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