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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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Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator
Kolk, M. Z. H., Ruipérez-Campillo, S., Alvarez-Florez, L., Deb, B., Bekkers, E. J., Allaart, C. P., van der Lingen, A.-L. C. J., Clopton, P., Išgum, I., Wilde, A. A. M., Knops, R. E., Narayan, S. M. & Tjong, F. V. Y., 1 Jan 2024, In: eBioMedicine. 99, 104937.Research output: Contribution to journal › Article › Academic › peer-review
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