Sevasti Bostantjopoulou

According to our database, Sevasti Bostantjopoulou authored at least 9 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning.

Alexandros Papadopoulos, Konstantinos Kyritsis, Lisa Klingelhöfer, Sevasti Bostantjopoulou, Kallol Ray Chaudhuri, Anastasios Delopoulos

IEEE J. Biomed. Health Informatics, 2020

Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection.

Dimitrios Iakovakis, Rafail E. Mastoras, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Heinz Reichmann, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Motion analysis of Parkinson diseased patients using a video game approach.

Athina Grammatikopoulou, Kosmas Dimitropoulos, Sevasti Bostantjopoulou, Zoe Katsarou, Nikos Grammalidis

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Detecting hypomimia symptoms by selfie photo analysis: for early Parkinson disease detection.

Athina Grammatikopoulou, Nikos Grammalidis, Sevasti Bostantjopoulou, Zoe Katsarou

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Multiple-Instance Learning for In-The-Wild Parkinsonian Tremor Detection.

Alexandros Papadopoulos, Konstantinos Kyritsis, Sevasti Bostantjopoulou, Lisa Klingelhöfer, Kallol Ray Chaudhuri, Anastasios Delopoulos

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.

Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Simone Mayer, Heinz Reichmann, Sofia B. Dias, José A. Diniz, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild.

Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios S. Charisis, Sevasti Bostantjopoulou, Zoe Katsarou, Lisa Klingelhöfer, Heinz Reichmann, Sofia B. Dias, José A. Diniz, Dhaval Trivedi, Kallol Ray Chaudhuri, Leontios J. Hadjileontiadis

Frontiers ICT, 2018

2016

Active and healthy ageing for Parkinson's disease patients' support: A user's perspective within the i-PROGNOSIS framework.

Stelios Hadjidimitriou, Vasileios S. Charisis, Konstantinos Kyritsis, Evdokimos I. Konstantinidis, Anastasios Delopoulos, Panagiotis D. Bamidis, Sevasti Bostantjopoulou, Alexandra Rizos, Dhaval Trivedi, Kallol Ray Chaudhuri, Lisa Klingelhöfer, Heinz Reichmann, Julia Wadoux, Nathalie De Craecker, Fotis Karagiannis, Peter Fagerberg, Ioannis Ioakimidis, Michael Stadtschnitzer, Alexander M. Esser, Nikolaos Grammalidis, Kosmas Dimitropoulos, Sofia B. Dias, José A. Diniz, Hugo Plácido da Silva, George L. Lyberopoulos, Eleni Theodoropoulou, Leontios J. Hadjileontiadis

Proceedings of the 1st International Conference on Technology and Innovation in Sports, 2016

Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson's Disease.

Panagiotis Moschonas, Elias Kalamaras, Stavros Papadopoulos, Anastasios Drosou, Konstantinos Votis, Sevasti Bostantjopoulou, Zoe Katsarou, Charalambos Papaxanthis, Vassilia Hatzitaki, Dimitrios Tzovaras

Proceedings of the Artificial Intelligence Applications and Innovations, 2016