Ruud J.G. van Sloun

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E-mailR.J.G.v.Slountuenl

3250

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Onderzoeksresultaten per jaar

7 resultaten

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2024
A generative foundation model for five-class sleep staging with arbitrary sensor input
Gorp, H. V., van Gilst, M. M., Fonseca, P., van Meulen, F. B., van Dijk, J. P., Overeem, S. & van Sloun, R. J. G., 9 aug. 2024, arXiv.org, 31 blz.
Onderzoeksoutput: Werkdocument › Preprint › Academic

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Anomalous Change Point Detection Using Probabilistic Predictive Coding
Hup, R. G., Merkofer, J. P., Bhogal, A. A., van Sloun, R. J. G., Haakma, R. & Vullings, R., 24 mei 2024, arXiv.org, 30 blz.
Onderzoeksoutput: Werkdocument › Preprint › Professioneel › peer review

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9 Downloads (Pure)
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
Prasad, V., van Gorp, H., Humer, C., van Sloun, R. J. G., Vilanova, A. & Pezzotti, N., 11 dec. 2024, arXiv.org, 15 blz.
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20 Downloads (Pure)
Wand: Wavelet Analysis-based Neural Decomposition of MRS Signals for Artifact Removal
Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Nam, K. M., van Sloun, R. J. G. & Bhogal, A. A., 14 okt. 2024, arXiv.org, 23 blz.
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4 Downloads (Pure)
2023
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Drenthen, G. S., Veta, M., Jansen, J. F. A., Breeuwer, M. & van Sloun, R. J. G., 5 jun. 2023, arXiv.org, blz. 1-3, 3 blz.
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Open Access
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33 Downloads (Pure)
Advancing GABA-edited MRS Research through a Reconstruction Challenge
Berto, R. P., Bugler, H., Dias, G., Oliveira, M., Ueda, L., Dertkigil, S., Costa, P. D. P., Rittner, L., Merkofer, J. P., van de Sande, D. M. J., Amirrajab, S., Drenthen, G. S., Veta, M., Jansen, J. F. A., Breeuwer, M., van Sloun, R. J. G., Qayyum, A., Rodero, C., Niederer, S. & Souza, R. & 1 anderen, Harris, A. D., 22 sep. 2023, bioRxiv, 39 blz.
Onderzoeksoutput: Werkdocument › Preprint › Academic

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33 Downloads (Pure)
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
Shmuel, D. H., Merkofer, J. P., Revach, G., van Sloun, R. J. G. & Shlezinger, N., 4 jun. 2023, arXiv.org, blz. 1-13, 13 blz.
Onderzoeksoutput: Werkdocument › Preprint › Academic

Open Access
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21 Downloads (Pure)

Ruud J.G. van Sloun

Onderzoeksoutput

Zoekresultaten

A generative foundation model for five-class sleep staging with arbitrary sensor input

Anomalous Change Point Detection Using Probabilistic Predictive Coding

EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models

Wand: Wavelet Analysis-based Neural Decomposition of MRS Signals for Artifact Removal

A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge

Advancing GABA-edited MRS Research through a Reconstruction Challenge

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation