Author

Frank van der Maas

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Eric G.A.L Van DiesseniD· 2 shared Jan W. Buitenhuis· 2 shared Michel R.T. SinkeiD· 2 shared Willem M. OtteiD· 2 shared Job Nwiboko· 1 shared Lars RidderiD· 1 shared Rick M. DijkhuizeniD· 1 shared Vincent T. van HeesiD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

Eric G.A.L Van DiessenORCID

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2 papers

Recent·Most cited

The power of language: functional brain network topology of deaf and hearing in relation to sign language experience

Michel R.T. Sinke, Jan W. Buitenhuis, Frank van der Maas, Job Nwiboko, Rick M. Dijkhuizen, Eric G.A.L Van Diessen, Willem M. Otte

This study compares functional brain network shifts between deaf and hearing individuals, finding increased auditory-visual connectivity and network backbone changes in deaf people related to sign language experience.

Hearing Research · Dec 15, 2018Peer-reviewedNeuroscience

Reliable and automatic epilepsy classification with affordable, consumer-grade electroencephalography in rural sub-Saharan Africa

Vincent T. van Hees, Eric G.A.L Van Diessen, Michel R.T. Sinke, Jan W. Buitenhuis, Frank van der Maas, Lars Ridder, Willem M. Otte

This study uses low-cost consumer-grade EEG and machine learning to classify epilepsy in rural settings, achieving moderate cross-country performance.

bioRxiv · May 17, 2018 · PreprintNeuroscience