Author

J. de Ruyter van Steveninck

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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Bioengineering· 3

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:metabolism & bioenergetics· 1

Frequent Co-Authors

M. van Gerven· 2 shared U. Guclu· 2 shared B. Kücükoglu· 1 shared B. Rueckauer· 1 shared M. A. J. van Gerven· 1 shared M. Nipshagen· 1 shared N. Ahmad· 1 shared R. J. A. van Wezel· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

M. van Gerven

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Author profile →

3 papers

Recent·Most cited

BioengineeringbioRxivPreprintSep 18, 2023

Gaze-contingent processing improves mobility performance and visual orientation in simulated head-steered prosthetic vision

J. de Ruyter van Steveninck, M. Nipshagen, M. van Gerven…·R. van Wezel

This study evaluates gaze-contingent image processing in simulated prosthetic vision, finding it improves mobility and orientation compared to gaze-locked and gaze-ignored conditions.

DOI 10.1101/2023.09.18.558225

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivFeb 25, 2022

Optimization of Neuroprosthetic Vision via End-to-end Deep Reinforcement Learning

B. Kücükoglu, B. Rueckauer, N. Ahmad…·M. van Gerven

This paper uses deep reinforcement learning to optimize stimulation patterns for neuroprosthetic vision, showing improved performance compared to fixed feature extractors in complex environments.

DOI 10.1142/s0129065722500526

deep learningdrug response / drug discovery

𝕏 PostBluesky

BioengineeringbioRxivDec 19, 2020

End-to-end optimization of prosthetic vision

J. de Ruyter van Steveninck, U. Guclu, R. J. A. van Wezel, M. A. J. van Gerven

This paper presents a deep learning approach to optimize prosthetic vision by end-to-end phosphene generation, showing it can automatically find task-specific stimulation protocols.

DOI 10.1167/jov.22.2.20

deep learningdrug response / drug discovery

𝕏 PostBluesky