Automatic patient functionality assessment from multimodal data using deep learning techniques – Development and feasibility evaluation
Sükei, Emese, de Leon-Martinez, Santiago, Olmos, Pablo M., Artés, Antonio
Published in Internet interventions : the application of information technology in mental and behavioural health (01.09.2023)
Published in Internet interventions : the application of information technology in mental and behavioural health (01.09.2023)
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Journal Article
Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study
Sükei, Emese, Romero-Medrano, Lorena, de Leon-Martinez, Santiago, Herrera López, Jesús, Campaña-Montes, Juan José, Olmos, Pablo M, Baca-Garcia, Enrique, Artés, Antonio
Published in JMIR formative research (01.01.2023)
Published in JMIR formative research (01.01.2023)
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Journal Article
Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning-Based Ecological Momentary Assessment Study
Ryu, Jihan, Sükei, Emese, Norbury, Agnes, H Liu, Shelley, Campaña-Montes, Juan José, Baca-Garcia, Enrique, Artés, Antonio, Perez-Rodriguez, M Mercedes
Published in JMIR mental health (15.09.2021)
Published in JMIR mental health (15.09.2021)
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Journal Article
Multimodal learning in clinical proteomics: enhancing antimicrobial resistance prediction models with chemical information
Visonà, Giovanni, Duroux, Diane, Miranda, Lucas, Sükei, Emese, Li, Yiran, Borgwardt, Karsten, Oliver, Carlos
Published in Bioinformatics (Oxford, England) (01.12.2023)
Published in Bioinformatics (Oxford, England) (01.12.2023)
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Journal Article
Web Resource
Improving Clinical Predictions with Multi-Modal Pre-training in Retinal Imaging
Sukei, Emese, Rumetshofer, Elisabeth, Schmidinger, Niklas, Mayr, Andreas, Schmidt-Erfurth, Ursula, Klambauer, Gunter, Bogunovic, Hrvoje
Published in 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (27.05.2024)
Published in 2024 IEEE International Symposium on Biomedical Imaging (ISBI) (27.05.2024)
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Conference Proceeding
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models
Moreno-Pino, Fernando, Sükei, Emese, Olmos, Pablo M, Artés-Rodríguez, Antonio
Year of Publication 12.01.2022
Year of Publication 12.01.2022
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Journal Article
PyHHMM: A Python Library for Heterogeneous Hidden Markov Models
Moreno-Pino, Fernando, Sükei, Emese, Olmos, Pablo M, Artés-Rodríguez, Antonio
Published in arXiv.org (12.01.2022)
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Published in arXiv.org (12.01.2022)
Paper