OpenAlex
metadata only
CC BY 4.0
DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine
adversarial-systemartificial-intelligencecomputer-sciencedata-miningdata-sciencedeep-learninggenerative-grammar
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU#668039
- Federated Deep Learning for Privacy-Preserving Cardiovascular Disease Risk Prediction#353054
- SparrowSNN: A Hardware/software Co-design for Energy Efficient ECG Classification#152990
- TRACE: Tractable Routing Autoencoder for Clinical ECG#1049201
- Pulmonary Arterial Hypertension and Associated Cardiovascular Disease Detection Using Artificial Intelligence#858693
Record · ID 400457
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive