Using measurements from wearable sensors for automatic scoring of Parkinson's disease motor states: Results from 7 patients. - Ilias Thomas; Filip Bergquist; Radu Constantinescu; Dag Nyholm; Marina Senek; Mevludin Memedi (EMBC, 2017)

A comparison of feature selection methods when using motion sensors data: a case study in Parkinson's disease. - Farrukh Javed; Ilias Thomas; Mevludin Memedi (EMBC, 2018)

Individual dose-response models for levodopa infusion dose optimization. - Ilias Thomas; Moudud Alam; Dag Nyholm; Marina Senek; Jerker Westin (Int. J. Medical Informatics, 2018)

A Treatment-Response Index From Wearable Sensors for Quantifying Parkinson's Disease Motor States. - Ilias Thomas; Jerker Westin; Moudud Alam; Filip Bergquist; Dag Nyholm; Marina Senek; Mevludin Memedi (IEEE J. Biomed. Health Informatics, 2018)

Automating levodopa dosing schedules for Parkinson's disease. - Ilias Thomas (2019)

A multiple motion sensors index for motor state quantification in Parkinson's disease. - Somayeh Aghanavesi; Jerker Westin; Filip Bergquist; Dag Nyholm; Håkan Askmark; Sten Magnus Aquilonius; Radu Constantinescu; Alexander Medvedev; Jack Spira; Fredrik Ohlsson; Ilias Thomas; Anders Ericsson; et al. (Comput. Methods Programs Biomed., 2020)

Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito. - Phuong N. Chau; Rasa Zalakeviciute; Ilias Thomas; Yves Rybarczyk (Frontiers Big Data, 2022)