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Electrical Engineering

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7 resultaten

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2025
Scaling up self-supervised learning for improved surgical foundation models
Jaspers, T. J. M., de Jong, R. L. P. D., Li, Y., Kusters, C. H. J., Bakker, F. H. A., van Jaarsveld, R. C., Kuiper, G. M., van Hillegersberg, R., Ruurda, J. P., Brinkman, W. M., Pluim, J. P. W., de With, P. H. N., Breeuwer, M., Khalil, Y. A. & van der Sommen, F., 16 jan. 2025, arXiv.org, 19 blz.
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SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
Li, Y., de Jong, R., Nasirihaghighi, S., Jaspers, T., van Jaarsveld, R., Kuiper, G., van Hillegersberg, R., van der Sommen, F., Ruurda, J., Breeuwer, M. & Al Khalil, Y., 2 jun. 2025, arXiv.org, 12 blz.
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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.
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Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy
Li, Y., van Jaarsveld, R., de Jong, R., Bongers, J., Kuiper, G., van Hillegersberg, R., Ruurda, J., Breeuwer, M. & Al Khalil, Y., 5 dec. 2024, arXiv.org, 10 blz.
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Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy
de Jong, R. L. P. D., al Khalil, Y., Jaspers, T. J. M., van Jaarsveld, R. C., Kuiper, G. M., Li, Y., van Hillegersberg, R., Ruurda, J. P., Breeuwer, M. & van der Sommen, F., 4 dec. 2024, arXiv.org, 10 blz.
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7 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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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.
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Zoekresultaten

Scaling up self-supervised learning for improved surgical foundation models

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition

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

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy

Benchmarking Pretrained Attention-based Models for Real-Time Recognition in Robot-Assisted Esophagectomy

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

Advancing GABA-edited MRS Research through a Reconstruction Challenge