Expertise
Medicine and Dentistry
- Heart Arrest
- Patient
- Electroencephalogram
- Inpatient
- Prognosis
- Learning
Neuroscience
- Coma
- Electroencephalography
Organisations
Publications
2025
EEG based predictions of good outcome after cardiac arrest improve with sevoflurane sedation, as compared with propofol (2025)Resuscitation, 216. Article 110862. Fleuren-Janssen, M. W. H., Ruijter, B. J., le Noble, J. L. M. L., Bos, A. T., Tjepkema-Cloostermans, M. C., van Putten, M. J. A. M., Beishuizen, A. & Foudraine, N. A.https://doi.org/10.1016/j.resuscitation.2025.110862Ultra-long-term subcutaneous EEG recordings in ten epilepsy patients: Experiences and circadian rhythms in epileptiform discharges (2025)Epilepsy and Behavior Reports, 31. Article 100781. van Norden, S. J., Kho, K. H., Meppelink, A. M., Ardesch, J. J., Tjepkema-Cloostermans, M. C. & van Putten, M. J. A. M.https://doi.org/10.1016/j.ebr.2025.100781Features, Outcome, and Treatment of Postanoxic Status Epilepticus: Pooled Analysis of 3 Cohorts (2025)Neurology, 105(4). Article e213913. De Stefano, P., Hofmeijer, J., Quintard, H., Damien, C., Misirocchi, F., Caroyer, S., Horn, J., Tromp, S., Kornips, B., Hilkman, D., van Mook, W., Hoedemaekers, C., Annoni, F., Legros, B., Seeck, M., Van Putten, M. J. A. M., Gaspard, N., Ruijter, B. J., Keijzer, H. M., … van der Palen, J. A. M.https://doi.org/10.1212/WNL.0000000000213913Reply to: Optimizing external validation of deep neural networks for interictal discharge detection (2025)Epilepsia, 66(7), 2598-2599. Tjepkema-Cloostermans, M. C. & van Putten, M. J. A. M.https://doi.org/10.1111/epi.18411Expert level of detection of interictal discharges with a deep neural network (2025)Epilepsia, 66(1), 184-194. Tjepkema-Cloostermans, M. C., Tannemaat, M. R., Wieske, L., van Rootselaar, A.-F., Stunnenberg, B. C., Keijzer, H. M., Koelman, J. H. T. M., Tromp, S. C., Dunca, I., van der Star, B. J., de Koning, M. E. & van Putten, M. J. A. M.https://doi.org/10.1111/epi.18164
2023
Comparison of state-of-the-art deep learning architectures for detection of freezing of gait in Parkinson’s disease (2023)Frontiers in neurology, 14. Article 1306129. Klaver, E. C., Heijink, I. B., Silvestri, G., van Vugt, J. P. P., Janssen, S., Nonnekes, J., van Wezel, R. J. A. & Tjepkema-Cloostermans, M. C.https://doi.org/10.3389/fneur.2023.1306129Ultrafast review of ambulatory EEGs with deep learning (2023)Clinical neurophysiology, 154, 43-48. da Silva Lourenço, C., Tjepkema-Cloostermans, M. C. & van Putten, M. J. A. M.https://doi.org/10.1016/j.clinph.2023.07.005Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest (2023)Neurology, 101(9), e940-e952. Amorim, E., Zheng, W.-L., Jing, J., Ghassemi, M. M., Lee, J. W., Wu, O., Herman, S. T., Pang, T., Sivaraju, A., Gaspard, N., Hirsch, L., Ruijter, B. J., Tjepkema-Cloostermans, M. C., Hofmeijer, J., van Putten, M. J. A. M. & Westover, M. B.https://doi.org/10.1212/WNL.0000000000207537Not one size fits all: Influence of EEG type when training a deep neural network for interictal epileptiform discharge detection (2023)Informatics in Medicine Unlocked, 41. Article 101318. da Silva Lourenço, C., Tjepkema-Cloostermans, M. C. & van Putten, M. J. A. M.https://doi.org/10.1016/j.imu.2023.101318Deep Learning for EEG Analysis (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. da Silva Lourenço, C.https://doi.org/10.3990/1.9789036556910
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