Alexandros Papadopoulos
Alexandros Papadopoulos
Verified email at
Cited by
Cited by
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning.
A Papadopoulos, K Kyritsis, L Klingelhoefer, S Bostanjopoulou, ...
IEEE Journal of Biomedical and Health Informatics, 2019
Unobtrusive detection of Parkinson’s disease from multi-modal and in-the-wild sensor data using deep learning techniques
A Papadopoulos, D Iakovakis, L Klingelhoefer, S Bostantjopoulou, ...
Scientific Reports, 2020
Personalised meal eating behaviour analysis via semi-supervised learning
A Papadopoulos, K Kyritsis, I Sarafis, A Delopoulos
2018 40th Annual International Conference of the IEEE Engineering iná…, 2018
Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection
A Papadopoulos, K Kyritsis, S Bostanjopoulou, L Klingelhoefer, ...
2019 41th Annual International Conference of the IEEE Engineering iná…, 0
Innovative parkinson's disease patients' motor skills assessment: the i-prognosis paradigm
SB Dias, A Grammatikopoulou, JA Diniz, K Dimitropoulos, N Grammalidis, ...
Frontiers in Computer Science 2, 20, 2020
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
A Papadopoulos, F Topouzis, A Delopoulos
Scientific Reports, 2021
Assistive HCI-serious games co-design insights: the case study of i-PROGNOSIS personalized game suite for Parkinson’s disease
SB Dias, JA Diniz, E Konstantinidis, T Savvidis, V Zilidou, PD Bamidis, ...
Frontiers in Psychology 11, 4017, 2021
Medical follow up assessments of iPrognosis application users for early Parkinson's disease detection
L Klingelhoefer, S Bostanjopoulou, D Trivedi, S Hadjidimitriou, ...
Parkinsonism & Related Disorders 79, e37, 2020
Towards unobtrusive Parkinson’s disease detection via motor symptoms severity inference from multimodal smartphone-sensor data
D Iakovakis, S Hadjidimitriou, V Charisis, K Kyritsis, A Papadopoulos, ...
MOVEMENT DISORDERS 34, S363-S365, 2019
The system can't perform the operation now. Try again later.
Articles 1–9