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Reducing diverse sources of noise in ventricular electrical signals using variational autoencoders
Ruipérez-Campillo, S., Ryser, A., Sutter, T. M., Deb, B., Feng, R., Ganesan, P., Brennan, K. A., Rogers, A. J., Kolk, M. Z. H., Tjong, F. V. Y., Narayan, S. M. & Vogt, J. E., 5 Mar 2026, In: Expert Systems With Applications. 300, 130185.Research output: Contribution to journal › Article › Academic › peer-review
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Geometry-Aware Cardiac MRI Representation Learning with Equivariant Neural Fields
Wiers, J. L., Wessels, D. R., Arts, L. P. A., Ruiperez-Campillo, S., Kolk, M. Z. H., Tjong, F. V. Y. & Bekkers, E. J., 2026, Proceedings of The 9th International Conference on Medical Imaging with Deep Learning. Huo, Y. (ed.). ML Research Press, Vol. 315. p. 3641-3658 18 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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Deep behavioural representation learning reveals risk profiles for malignant ventricular arrhythmias
Kolk, M. Z. H., Frodi, D. M., Langford, J., Andersen, T. O., Jacobsen, P. K., Risum, N., Tan, H. L., Svendsen, J. H., Knops, R. E., Diederichsen, S. R. Z. G. & Tjong, F. V. Y., 1 Dec 2024, In: npj Digital Medicine. 7, 1, 250.Research output: Contribution to journal › Article › Academic › peer-review
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