Author

Ruud J. G. van Sloun

Eindhoven University of TechnologyORCID 0000-0003-2845-0495Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

Anne DraelosiD· 1 shared Aren Hite· 1 shared Cynthia A. ChestekiD· 1 shared Diksha ZutshiiD· 1 shared Dylan M WallaceiD· 1 shared Guy RevachiD· 1 shared Hilleke E. Hulshoff PoliD· 1 shared Hisham TemmariD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperNeuroscience

Anne DraelosORCID

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2 papers

Recent·Most cited

Neuroscienceneural information processing systemsPeer-reviewedJan 1, 2024

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

Luis Hernan Cubillos, Guy Revach, Matthew J. Mender…·Cynthia A. Chestek

This study compares KalmanNet, an explainable BMI decoder, with deep-learning and Kalman filter models, finding it achieves comparable performance while offering interpretability.

2 citations

electronic health recordsstatistical model

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NeurosciencebioRxivPreprintDec 19, 2022

Automated segmentation of fetal intracranial volume in 3D ultrasound using deep learning: identifying sex differences in prenatal brain development

Sonja M. C. de Zwarte, Jalmar Teeuw, Jiaojiao He…·Hilleke E. Hulshoff Pol

The paper develops a deep learning model to automate fetal intracranial volume segmentation from 3D ultrasound and finds sex differences in ICV and growth.

1 citation

humanimaging

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