Publications by authors named "Dimitrios Iakovakis"

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Dermal features derived from optoacoustic tomograms via machine learning correlate microangiopathy phenotypes with diabetes stage.
Angelos Karlas, Nikoletta Katsouli, Nikolina-Alexia Fasoula, Michail Bariotakis, Nikolaos-Kosmas Chlis, Dimitrios Iakovakis

Nat Biomed Eng· December 2023

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Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach.
Sofia Balula Dias, Yannis Oikonomidis, José Alves Diniz, Fátima Baptista, Filomena Carnide, Dimitrios Iakovakis

Front Nutr· July 2022

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Parkinson's Disease Detection Based on Running Speech Data From Phone Calls.
Christos Laganas, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Sofia B Dias

IEEE Trans Biomed Eng· May 2022

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Diagnostic accuracy of keystroke dynamics as digital biomarkers for fine motor decline in neuropsychiatric disorders: a systematic review and meta-analysis.
Hessa Alfalahi, Ahsan H Khandoker, Nayeefa Chowdhury, Dimitrios Iakovakis, Sofia B Dias

Sci Rep· May 2022

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DeepFoG: An IMU-Based Detection of Freezing of Gait Episodes in Parkinson's Disease Patients via Deep Learning.
Thomas Bikias, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J Hadjileontiadis

Front Robot AI· May 2021

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Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson's Disease.
Sofia Balula Dias, José Alves Diniz, Evdokimos Konstantinidis, Theodore Savvidis, Vicky Zilidou, Dimitrios Iakovakis

Front Psychol· January 2021

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Unobtrusive detection of Parkinson's disease from multi-modal and in-the-wild sensor data using deep learning techniques.
Alexandros Papadopoulos, Dimitrios Iakovakis, Lisa Klingelhoefer, Sevasti Bostantjopoulou, K Ray Chaudhuri

Sci Rep· December 2020

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Detection of Mild Cognitive Impairment Through Natural Language and Touchscreen Typing Processing.
Anastasia Ntracha, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S Charisis, Magda Tsolaki

Front Digit Health· October 2020

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Screening of Parkinsonian subtle fine-motor impairment from touchscreen typing via deep learning.
Dimitrios Iakovakis, K Ray Chaudhuri, Lisa Klingelhoefer, Sevasti Bostantjopoulou, Zoe Katsarou

Sci Rep· July 2020

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Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection.
Dimitrios Iakovakis, Rafail E Mastoras, Stelios Hadjidimitriou, Vasileios Charisis, Sevasti Bostanjopoulou

Annu Int Conf IEEE Eng Med Biol Soc· July 2020

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Touchscreen typing pattern analysis for remote detection of the depressive tendency.
Rafail-Evangelos Mastoras, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Seada Kassie

Sci Rep· September 2019

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Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.
Dimitrios Iakovakis, Jose A Diniz, Dhaval Trivedi, Ray K Chaudhuri, Leontios J Hadjileontiadis

Annu Int Conf IEEE Eng Med Biol Soc· July 2019

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Touchscreen typing-pattern analysis for detecting fine motor skills decline in early-stage Parkinson's disease.
Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Sevasti Bostantzopoulou, Zoe Katsarou

Sci Rep· May 2018

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Fuzzy logic-based risk of fall estimation using smartwatch data as a means to form an assistive feedback mechanism in everyday living activities.
Dimitrios E Iakovakis, Fotini A Papadopoulou, Leontios J Hadjileontiadis

Healthc Technol Lett· December 2016

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