Alexandros Papadopoulos
Aristotle University of Thessaloniki
14 Papers
29 Citations
Alexandros Papadopoulos is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Computer science & Population. The author has an hindex of 4, co-authored 9 publications.
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Papers
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
Alexandros Papadopoulos,Konstantinos Kyritsis,Lisa Klingelhoefer,Sevasti Bostanjopoulou,K. Ray Chaudhuri,Anastasios Delopoulos +5 more
TL;DR: This work presents a method for automatically identifying tremorous episodes related to PD, based on IMU signals captured via a smartphone device, and proposes a Multiple-Instance Learning approach, wherein a subject is represented as an unordered bag of accelerometer signal segments and a single, expert-provided, tremor annotation.
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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,Konstantinos Kyritsis,Stelios Hadjidimitriou,Vasileios Charisis,Leontios J. Hadjileontiadis,Leontios J. Hadjileontiadis,Anastasios Delopoulos +10 more
TL;DR: It is shown that PD and its motor symptoms can unobtrusively be detected from the combination of accelerometer and touchscreen typing data that are passively captured during natural user-smartphone interaction and introduced a deep learning framework that analyses such data to simultaneously predict tremor, fine-motor impairment and PD.
An interpretable multiple-instance approach for the detection of referable diabetic retinopathy in fundus images.
TL;DR: In this article, a machine learning system was proposed for the detection of referable diabetic retinopathy in fundus images, which is based on the paradigm of multiple-instance learning.
Assistive HCI-Serious Games Co-design Insights: The Case Study of i-PROGNOSIS Personalized Game Suite for Parkinson's Disease.
Sofia B. Dias,José Alves Diniz,Evdokimos I. Konstantinidis,Theodore Savvidis,Vicky Zilidou,Panagiotis D. Bamidis,Athina Grammatikopoulou,Kosmas Dimitropoulos,Nikos Grammalidis,Hagen Jaeger,Michael Stadtschnitzer,Hugo Silva,Gonçalo Telo,Ioannis Ioakeimidis,George Ntakakis,Fotis Karayiannis,Estelle Huchet,Vera Hoermann,Konstantinos Filis,Elina Theodoropoulou,G. Lyberopoulos,Konstantinos Kyritsis,Alexandros Papadopoulos,Anastasios Depoulos,Dhaval Trivedi,Ray K. Chaudhuri,Lisa Klingelhoefer,Heinz Reichmann,Sevasti Bostantzopoulou,Zoe Katsarou,Dimitrios Iakovakis,Stelios Hadjidimitriou,Vasileios Charisis,George Apostolidis,Leontios J. Hadjileontiadis,Leontios J. Hadjileontiadis +35 more
TL;DR: In this article, the design elements in assistive HCI-SGs for Parkinson's Disease (PD) patients, in particular, are explored in the present work and its main game-design parameters are explored for the Exergames, Dietarygames, Emotional games, Handwriting games, and Voice games drawn from the PD-related i-PROGNOSIS Personalized Game Suite (PGS) (www.i-prognosis.eu) holistic approach.
Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm
Sofia B. Dias,Athina Grammatikopoulou,José Alves Diniz,Kosmas Dimitropoulos,Nikos Grammalidis,Vicky Zilidou,Theodore Savvidis,Evdokimos I. Konstantinidis,Panagiotis D. Bamidis,Hagen Jaeger,Michael Stadtschnitzer,Hugo Silva,Gonçalo Telo,Ioannis Ioakeimidis,George Ntakakis,Fotis Karayiannis,Estelle Huchet,Vera Hoermann,Konstantinos Filis,Elina Theodoropoulou,G. Lyberopoulos,Konstantinos Kyritsis,Alexandros Papadopoulos,Anastasios Delopoulos,Dhaval Trivedi,K. Ray Chaudhuri,Lisa Klingelhoefer,Heinz Reichmann,Sevasti Bostantzopoulou,Zoe Katsarou,Dimitrios Iakovakis,Stelios Hadjidimitriou,Vasileios Charisis,George Apostolidis,Leontios J. Hadjileontiadis,Leontios J. Hadjileontiadis +35 more
TL;DR: The iPrognosis Assessment Tests were integrated within the personalized interventions of the i-PROGNOSIS project, providing alternative means of assessing their effect on the PD patient's motor skills enhancement.
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