Predicting Fetal Outcomes from Cardiotocography Signals Using a Supervised Variational Autoencoder
Fuente:
arXiv
Saved in:
| Main Authors: | Tolladay, John, Albert, Beth, Jones, Gabriel Davis |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography
by: Wong, Sheng, et al.
Published: (2025)
by: Wong, Sheng, et al.
Published: (2025)
PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring
by: Khan, M. Jaleed, et al.
Published: (2024)
by: Khan, M. Jaleed, et al.
Published: (2024)
PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL
by: Wong, Sheng, et al.
Published: (2026)
by: Wong, Sheng, et al.
Published: (2026)
Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
by: Wang, Xiaohua, et al.
Published: (2026)
by: Wang, Xiaohua, et al.
Published: (2026)
Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes
by: Gu, Jinshuai, et al.
Published: (2025)
by: Gu, Jinshuai, et al.
Published: (2025)
Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis
by: Wong, Sheng, et al.
Published: (2025)
by: Wong, Sheng, et al.
Published: (2025)
The OxMat dataset: a multimodal resource for the development of AI-driven technologies in maternal and newborn child health
by: Khan, M. Jaleed, et al.
Published: (2024)
by: Khan, M. Jaleed, et al.
Published: (2024)
Device Image-IV Mapping using Variational Autoencoder for Inverse Design and Forward Prediction
by: Lu, Thomas, et al.
Published: (2023)
by: Lu, Thomas, et al.
Published: (2023)
Robust Topology Optimization Using Multi-Fidelity Variational Autoencoders
by: Gladstone, Rini Jasmine, et al.
Published: (2021)
by: Gladstone, Rini Jasmine, et al.
Published: (2021)
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
by: Dang, Hien, et al.
Published: (2023)
by: Dang, Hien, et al.
Published: (2023)
Analysis of Variational Sparse Autoencoders
by: Baker, Zachary, et al.
Published: (2025)
by: Baker, Zachary, et al.
Published: (2025)
Variational Rank Reduction Autoencoders
by: Mounayer, Jad, et al.
Published: (2025)
by: Mounayer, Jad, et al.
Published: (2025)
Ensemble Visualization With Variational Autoencoder
by: Wu, Cenyang, et al.
Published: (2025)
by: Wu, Cenyang, et al.
Published: (2025)
An Introduction to Discrete Variational Autoencoders
by: Jeffares, Alan, et al.
Published: (2025)
by: Jeffares, Alan, et al.
Published: (2025)
Likelihood-Free Variational Autoencoders
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
On Kernel-based Variational Autoencoder
by: Qin, Tian, et al.
Published: (2024)
by: Qin, Tian, et al.
Published: (2024)
CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
by: Sun, Black, et al.
Published: (2025)
by: Sun, Black, et al.
Published: (2025)
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
by: Alsafadi, Farah, et al.
Published: (2024)
by: Alsafadi, Farah, et al.
Published: (2024)
Bidirectional Variational Autoencoders
by: Kosko, Bart, et al.
Published: (2025)
by: Kosko, Bart, et al.
Published: (2025)
Zero-Variance Gradients for Variational Autoencoders
by: Shao, Zilei, et al.
Published: (2025)
by: Shao, Zilei, et al.
Published: (2025)
Yield Curves Dynamics Using Variational Autoencoders Under No-arbitrage
by: Luo, Fusheng, et al.
Published: (2026)
by: Luo, Fusheng, et al.
Published: (2026)
Discovering Influential Factors in Variational Autoencoders
by: Liu, Shiqi, et al.
Published: (2018)
by: Liu, Shiqi, et al.
Published: (2018)
Theoretical Convergence Guarantees for Variational Autoencoders
by: Surendran, Sobihan, et al.
Published: (2024)
by: Surendran, Sobihan, et al.
Published: (2024)
Disentanglement of Sources in a Multi-Stream Variational Autoencoder
by: Boukun, Veranika, et al.
Published: (2025)
by: Boukun, Veranika, et al.
Published: (2025)
Posterior Collapse as a Phase Transition in Variational Autoencoders
by: Li, Zhen, et al.
Published: (2025)
by: Li, Zhen, et al.
Published: (2025)
Reducing Large Language Model Safety Risks in Women's Health using Semantic Entropy
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
by: Penny-Dimri, Jahan C., et al.
Published: (2025)
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
by: Rico, Julian Carvajal, et al.
Published: (2024)
by: Rico, Julian Carvajal, et al.
Published: (2024)
Hellinger Multimodal Variational Autoencoders
by: Vo, Huyen, et al.
Published: (2026)
by: Vo, Huyen, et al.
Published: (2026)
Interpretable Prediction of Lymph Node Metastasis in Rectal Cancer MRI Using Variational Autoencoders
by: Keel, Benjamin, et al.
Published: (2025)
by: Keel, Benjamin, et al.
Published: (2025)
Variational Autoencoder for Calibration: A New Approach
by: Barrett, Travis, et al.
Published: (2025)
by: Barrett, Travis, et al.
Published: (2025)
Bridging the inference gap in Mutimodal Variational Autoencoders
by: Senellart, Agathe, et al.
Published: (2025)
by: Senellart, Agathe, et al.
Published: (2025)
CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025)
by: Silvestri, Gianluigi, et al.
Published: (2025)
Data Augmentation with Variational Autoencoder for Imbalanced Dataset
by: Stocksieker, Samuel, et al.
Published: (2024)
by: Stocksieker, Samuel, et al.
Published: (2024)
Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
by: Kompella, Srihari Kamesh, et al.
Published: (2024)
by: Kompella, Srihari Kamesh, et al.
Published: (2024)
Multivariate Variational Autoencoder
by: Yavuz, Mehmet Can
Published: (2025)
by: Yavuz, Mehmet Can
Published: (2025)
Poisson Variational Autoencoder
by: Vafaii, Hadi, et al.
Published: (2024)
by: Vafaii, Hadi, et al.
Published: (2024)
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
by: Cao, Shichen, et al.
Published: (2019)
by: Cao, Shichen, et al.
Published: (2019)
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies
by: Damm, Simon, et al.
Published: (2020)
by: Damm, Simon, et al.
Published: (2020)
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning
by: Golchin, Bahareh, et al.
Published: (2025)
by: Golchin, Bahareh, et al.
Published: (2025)
Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay
by: Thapa, Pujan, et al.
Published: (2025)
by: Thapa, Pujan, et al.
Published: (2025)
Similar Items
-
CleanCTG: A Deep Learning Model for Multi-Artefact Detection and Reconstruction in Cardiotocography
by: Wong, Sheng, et al.
Published: (2025) -
PatchCTG: Patch Cardiotocography Transformer for Antepartum Fetal Health Monitoring
by: Khan, M. Jaleed, et al.
Published: (2024) -
PRISM-CTG: A Foundation Model for Cardiotocography Analysis with Multi-View SSL
by: Wong, Sheng, et al.
Published: (2026) -
Artificial Intelligence-Assistant Cardiotocography: Unified Model for Signal Reconstruction, Fetal Heart Rate Analysis, and Variability Assessment
by: Wang, Xiaohua, et al.
Published: (2026) -
Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes
by: Gu, Jinshuai, et al.
Published: (2025)