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Emese Sükei
Emese Sükei
Postdoctoral researcher, Medical University of Vienna
Verified email at meduniwien.ac.at
Title
Cited by
Cited by
Year
Predicting emotional states using behavioral markers derived from passively sensed data: data-driven machine learning approach
E Sükei, A Norbury, MM Perez-Rodriguez, PM Olmos, A Artés
JMIR mHealth and uHealth 9 (3), e24465, 2021
232021
Shift in social media app usage during COVID-19 lockdown and clinical anxiety symptoms: machine learning–based ecological momentary assessment study
J Ryu, E Sükei, A Norbury, S H Liu, JJ Campaña-Montes, E Baca-Garcia, ...
JMIR mental health 8 (9), e30833, 2021
122021
PyHHMM: A Python library for heterogeneous hidden Markov models
F Moreno-Pino, E Sükei, PM Olmos, A Artés-Rodríguez
arXiv preprint arXiv:2201.06968, 2022
82022
Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information
G Visonà, D Duroux, L Miranda, E Sükei, Y Li, K Borgwardt, C Oliver
Bioinformatics 39 (12), btad717, 2023
22023
Automatic patient functionality assessment from multimodal data using deep learning techniques–Development and feasibility evaluation
E Sükei, S de Leon-Martinez, PM Olmos, A Artés
Internet Interventions 33, 100657, 2023
22023
Assessing WHODAS 2.0 Scores from Behavioral Biomarkers: a Data-driven Approach
E Sükei, L Romero-Medrano, S de Leon-Martinez, J Herrera López, ...
https://preprints.jmir.org/preprint/38231, 2022
22022
Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study
E Sükei, L Romero-Medrano, S de Leon-Martinez, J Herrera López, ...
JMIR Formative Research 7, e47167, 2023
2023
Learning Retinal Representations from Multi-modal Imaging via Contrastive Pre-training
E Sükei, E Rumetshofer, N Schmidinger, U Schmidt-Erfurth, G Klambauer, ...
Medical Imaging with Deep Learning, short paper track, 2023
2023
A Step Towards Advancing Digital Phenotyping In Mental Healthcare
E Sükei
Universidad Carlos III de Madrid, 2022
2022
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