Expertises
Medicine & Life Sciences
# Coma
# Deep Learning
# Electroencephalography
# Epilepsy
# Heart Arrest
# Machine Learning
Engineering & Materials Science
# Deep Learning
# Electroencephalography
Verbonden aan
Publicaties
Recent
da Silva Lourenço, C.
, Tjepkema-Cloostermans, M. C.
, & van Putten, M. J. A. M. (2021).
Machine learning for detection of interictal epileptiform discharges.
Clinical neurophysiology,
132(7), 1433-1443.
https://doi.org/10.1016/j.clinph.2021.02.403
da Silva Lourenço, C.
, Tjepkema-Cloostermans, M. C.
, & van Putten, M. J. A. M. (2021).
Efficient use of clinical EEG data for deep learning in epilepsy.
Clinical neurophysiology,
132(6), 1234-1240.
https://doi.org/10.1016/j.clinph.2021.01.035
Lourenço, C.
, Tjepkema-Cloostermans, M. C., Teixeira, L. F.
, & van Putten, M. J. A. M. (2020).
Deep Learning for Interictal Epileptiform Discharge Detection from Scalp EEG Recordings. In J. Henriques, P. de Carvalho, & N. Neves (Eds.),
15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019 (pp. 1984-1997). (IFMBE Proceedings; Vol. 76). Springer.
https://doi.org/10.1007/978-3-030-31635-8_237
Tjepkema-Cloostermans, M. C.
, da Silva Lourenço, C.
, Ruijter, B. J., Tromp, S. C., Drost, G., Kornips, F. H. M., Beishuizen, A., Bosch, F. H.
, Hofmeijer, J.
, & van Putten, M. J. A. M. (2019).
Outcome Prediction in Postanoxic Coma With Deep Learning.
Critical care medicine,
47(10), 1424-1432.
https://doi.org/10.1097/CCM.0000000000003854
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Universiteit Twente
Faculty of Science and Technology
Technohal
(gebouwnr. 18), kamer 3385
Hallenweg 5
7522NH Enschede
Postadres
Universiteit Twente
Faculty of Science and Technology
Technohal
3385
Postbus 217
7500 AE Enschede