Author

Marleen C. Tjepkema‐Cloostermans

Medisch Spectrum TwenteORCID 0000-0002-0686-7284Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Michel J. A. M. van PutteniD· 2 shared Catarina da Silva LourençoiD· 1 shared Jeannette HofmeijeriD· 1 shared Prejaas K. B. TewarieiD· 1 shared Romesh AbeysuriyaiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 7 mutual co-author links

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2 shared papersNeuroscience

Michel J. A. M. van PuttenORCID

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2 papers

Recent·Most cited

Not one size fits all: influence of EEG type when training a deep neural network for interictal epileptiform discharge detection

Catarina da Silva Lourenço, Marleen C. Tjepkema‐Cloostermans, Michel J. A. M. van Putten

This paper shows that deep learning models for detecting interictal epileptiform discharges in EEGs perform differently based on the type of EEG data used for training.

Informatics in Medicine Unlocked · Jan 1, 2023Peer-reviewedNeuroscience

Preservation of thalamocortical circuitry is essential for good recovery in comatose survivors of cardiac arrest

Prejaas K. B. Tewarie, Marleen C. Tjepkema‐Cloostermans, Romesh Abeysuriya, Jeannette Hofmeijer, Michel J. A. M. van Putten

The paper uses EEG data to estimate biophysical model parameters in comatose cardiac arrest survivors, finding distinct patterns in good vs poor recovery groups.

bioRxiv · Nov 2, 2022 · PreprintNeuroscience