Doctor Samuel Ruiperez-Campillo
Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich (Switzerland)
Membership:
ESC Professional Member
EHRA Member
Biography
Samuel Ruipérez Campillo is a Biomedical Engineer. He received the 'Rafael del Pino' Excellence Fellowship to study a MSc in Biomedical Devices and Artificial Intelligence at the Swiss Federal Institute of Technology (ETH Zürich). Later he was granted ‘Caixa’ Excellence Fellow and the Fung Institute Fellowhip at UC Berkeley, to study an MEng in Computational Bioengineering with a focus on Data Science and Machine Learning at UC Berkeley. Samuel works at the School of Medicine at Stanford University since 2022, at the computational arrhythmia laboratory guided by Prof. Sanjiv M. Narayan, MD, and collaborates with Universitat Politecnica de Valencia, Hospital la Paz, guided by Prof. José Luis Merino, MD and the Institute of Machine learning, at the ETH Zurich. Samuel is based in Zurich, Switzerland.
Contributor content
Presentation
Novel AI-based physiological tracking of waves in atrial fibrillation identify active pulmonary veins, non-PV sites of termination
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Contrastive learning to enrich ECG with cardiac MRI to predict structural features and cardiovascular disease
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Deep learning-enabled ECG fingerprinting of low-voltage substrate in atrial fibrillation patients
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Biophysics-inspired deep learning for improved denoising in ventricular signals in ischemic cardiomyopathy
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Large language models can estimate atrial fibrillation burden and infer progression without ecgs from the electronic healthcare record
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Stratifying pulmonary hypertension severity in newborns from multi-view echocardiograms using variational autoencoders
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Comparing artificial-intelligence based tracking of atrial fibrillation waves with clinical phenotypes in patients undergoing ablation
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