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Halldor Jonsson jr

Professor

University of Iceland

Iceland

Research Interests

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Professors in Neuropsychology

Articles (14)

Year:

2027

Year:

2026

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2026

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2026

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

Collaborators (5)

Giorgio Di Lorenzo

ITALY

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Francesco Mercaldo

University of Molise

ITALY

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Luca Cristofolini

Docenti di ruolo di Ia fascia

University of Bologna

ITALY

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Paolo Gargiulo

Professor

ICELAND

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Francesco Tortorella

Professore Ordinario (Full Professor)

Università degli Studi di Napoli Federico II

ITALY

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Halldor Jonsson jr

Research Interests

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Articles (14)

Multimodal Assessment of Postural Control in Parkinson’s Disease Using BioVRSea: Insights from CoP and Muscle Activation Patterns

Temporal Dynamics of EEG Microstates During Postural Control in Parkinson’s Disease

Impact of automated and manual segmentation errors on knee osteoarthritis classification using MRI-registered data on CT scans

Exploring Dynamic Alpha Band Connectivity in Parkinson’s Disease: A Novel Approach to Postural Control Assessment Using the BioVRSea Paradigm

Assessing Brain Network Dynamics During Postural Control Task Using EEG Microstates

An Explainable Radiomics-Based Classification Model for Sarcoma Diagnosis

Toward New Assessment in Sarcoma Identification and Grading Using Artificial Intelligence Techniques

A computational 3D analysis for assessing bone remodeling following total hip arthroplasty: a longitudinal study spanning six years

Brain Network Dynamics Across Resting-State and the BioVRSea Task using EEG Microstate Analysis

Exploring Center of Pressure Dynamics Across Age and Gender During Complex Postural Challenges

Exploring Heart Rate Variability During a Postural Control Task using Virtual Reality and a Moving Platform

Influence of Age and Gender on Cortical Activity During Postural Control

Keeping Balance at Sea and Ashore: Investigating Habituation-Adaptation Dynamics in Postural Control Among Seafarers and Healthy Adults

Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network

Collaborators (5)

Giorgio Di Lorenzo

Francesco Mercaldo

Luca Cristofolini

Paolo Gargiulo

Francesco Tortorella

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