Published in Kent KAR, 2022
Recommended citation: Patlatzoglou, K. (2022). Deep learning for electrophysiological investigation and estimation of anesthetic-induced unconsciousness (Doctoral dissertation, University of Kent,). https://kar.kent.ac.uk/97272/
Published in EMBC, 2020
Recommended citation: Patlatzoglou, K., Chennu, S., Gosseries, O., Bonhomme, V., Wolff, A., & Laureys, S. (2020). Generalized Prediction of Unconsciousness during Propofol Anesthesia using 3D Convolutional Neural Networks. In 2020 42nd annual international conference of the ieee engineering in medicine & biology society (embc) (Vol. 2020-July, pp. 134–137). https://ieeexplore.ieee.org/document/9175324
Published in Brain Informatics, 2018
Recommended citation: Patlatzoglou, K., Chennu, S., Boly, M., Noirhomme, Q., Bonhomme, V., Brichant, J.-F., . . . Laureys, S. (2018). Deep Neural Networks for Automatic Classification of Anesthetic-Induced Unconsciousness. In Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics) (Vol. 11309 LNAI, pp. 216–225). https://link.springer.com/chapter/10.1007/978-3-030-05587-5_21