Research output per year
Research output per year
Personal profile
Specialisation
For my PhD research, I investigate and apply Deep Learning methods for predicting Sudden Cardiac Death using multimodal data, such as cardiac magnetic resonance imaging (CMR) and electrocardiograms (EKG).
Related documents
Education/Academic qualification
Master, Artificial Intelligence, Vrije Universiteit Amsterdam
1 Sept 2020 → 1 Feb 2023
Award Date: 1 Feb 2023
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Dive into the research topics where Laura Alvarez Florez is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy
Alvarez-Florez, L., Sander, J. R., Bourfiss, M., Tjong, F. V. Y., Velthuis, B. K. & Išgum, I., 2024, Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers - 14th International Workshop, STACOM 2023, Held in Conjunction with MICCAI 2023, Revised Selected Papers. Camara, O., Puyol-Antón, E., Suinesiaputra, A., Young, A., Sermesant, M., Tao, Q. & Wang, C. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14507 LNCS. p. 25-34 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14507 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile9 Downloads (Pure) -
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
Open AccessFile9 Downloads (Pure) -
Optimizing patient selection for primary prevention implantable cardioverter-defibrillator implantation: utilizing multimodal machine learning to assess risk of implantable cardioverter-defibrillator non-benefit
Kolk, M. Z. H., Ruipérez-Campillo, S., Deb, B., Bekkers, E. J., Allaart, C. P., Rogers, A. J., van der Lingen, A.-L. C. J., Alvarez Florez, L., Isgum, I., de Vos, B. D., Clopton, P., Wilde, A. A. M., Knops, R. E., Narayan, S. M. & Tjong, F. V. Y., 2 Aug 2023, In: EP Europace. 25, 9Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile19 Downloads (Pure)