no code implementations • 19 Mar 2024 • Jingwei Zhang, Lauren Swinnen, Christos Chatzichristos, Victoria Broux, Renee Proost, Katrien Jansen, Benno Mahler, Nicolas Zabler, Nino Epitashvilli, Matthias Dümpelmann, Andreas Schulze-Bonhage, Elisabeth Schriewer, Ummahan Ermis, Stefan Wolking, Florian Linke, Yvonne Weber, Mkael Symmonds, Arjune Sen, Andrea Biondi, Mark P. Richardson, Abuhaiba Sulaiman I, Ana Isabel Silva, Francisco Sales, Gergely Vértes, Wim Van Paesschen, Maarten De Vos
The combination of wearable EEG and EMG achieved overall the most clinically useful performance in offline TCS detection with a sensitivity of 97. 7%, a FPR of 0. 4/24 h, a precision of 43. 0%, and a F1-score of 59. 7%.
no code implementations • 27 Mar 2023 • Konstantinos Kontras, Christos Chatzichristos, Huy Phan, Johan Suykens, Maarten De Vos
The results indicate that training the model on multimodal data does positively influence performance when tested on unimodal data.
Ranked #1 on Sleep Stage Detection on SHHS
no code implementations • 15 Nov 2020 • Christos Theodoropoulos, Christos Chatzichristos, Sabine Van Huffel
In the course of fMRI, some sources of activation are caused by noise and artifacts.
no code implementations • 12 May 2020 • Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer, Sergios Theodoridis, Sabine Van Huffel
The fusion methods reported so far ignore the underlying multi-way nature of the data in at least one of the modalities and/or rely on very strong assumptions about the relation of the two datasets.
no code implementations • 11 Oct 2016 • Manuel Morante Moreno, Yannis Kopsinis, Eleftherios Kofidis, Christos Chatzichristos, Sergios Theodoridis
Extracting information from functional magnetic resonance (fMRI) images has been a major area of research for more than two decades.
no code implementations • 15 Jul 2016 • Christos Chatzichristos, Eleftherios Kofidis, Giannis Kopsinis, Sergios Theodoridis
The growing use of neuroimaging technologies generates a massive amount of biomedical data that exhibit high dimensionality.