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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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Multimodal explainable artificial intelligence identifies patients with non-ischaemic cardiomyopathy at risk of lethal ventricular arrhythmias
DEEP RISK investigators, Raijmakers, F. D., Van Der Lingen, A.-L. C. J., Götte, M. J. W., Selder, J. L., Alvarez-Florez, L., Išgum, I. & Bekkers, E. J., Dec 2024, In: Scientific reports. 14, 1, p. 14889 1 p., 14889.Research output: Contribution to journal › Article › Academic › peer-review
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Novel Domain Knowledge-Encoding Algorithm Enables Label-Efficient Deep Learning for Cardiac CT Segmentation to Guide Atrial Fibrillation Treatment in a Pilot Dataset
Ganesan, P., Feng, R., Deb, B., Tjong, F. V. Y., Rogers, A. J., Ruipérez-Campillo, S., Somani, S., Clopton, P., Baykaner, T., Rodrigo, M., Zou, J., Haddad, F., Zaharia, M. & Narayan, S. M., 1 Jul 2024, In: Diagnostics. 14, 14, 1538.Research output: Contribution to journal › Article › Academic › peer-review
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