Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest
Fuente:
arXiv
Guardado en:
| Autores principales: | Krones, Felix H., Walker, Ben, Parsons, Guy, Lyons, Terry, Mahdi, Adam |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
por: Krones, Felix, et al.
Publicado: (2024)
por: Krones, Felix, et al.
Publicado: (2024)
Review of multimodal machine learning approaches in healthcare
por: Krones, Felix, et al.
Publicado: (2024)
por: Krones, Felix, et al.
Publicado: (2024)
Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
por: Coppens, Dieter, et al.
Publicado: (2024)
por: Coppens, Dieter, et al.
Publicado: (2024)
Decoding non-invasive brain activity with novel deep-learning approaches
por: Csaky, Richard
Publicado: (2025)
por: Csaky, Richard
Publicado: (2025)
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)
NeuroLingua: A Language-Inspired Hierarchical Framework for Multimodal Sleep Stage Classification Using EEG and EOG
por: Samaee, Mahdi, et al.
Publicado: (2025)
por: Samaee, Mahdi, et al.
Publicado: (2025)
AN An ica-ensemble learning approach for prediction of uwb nlos signals data classification
por: Enoch, Jiya A., et al.
Publicado: (2024)
por: Enoch, Jiya A., et al.
Publicado: (2024)
Multi-task deep-learning for sleep event detection and stage classification
por: Anido-Alonso, Adriana, et al.
Publicado: (2025)
por: Anido-Alonso, Adriana, et al.
Publicado: (2025)
Assessing the importance of long-range correlations for deep-learning-based sleep staging
por: Wang, Tiezhi, et al.
Publicado: (2024)
por: Wang, Tiezhi, et al.
Publicado: (2024)
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
por: Bench, Ciaran, et al.
Publicado: (2025)
por: Bench, Ciaran, et al.
Publicado: (2025)
On Generalization Bounds for Deep Compound Gaussian Neural Networks
por: Lyons, Carter, et al.
Publicado: (2024)
por: Lyons, Carter, et al.
Publicado: (2024)
Machine-learning for photoplethysmography analysis: Benchmarking feature, image, and signal-based approaches
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe
por: Depoortere, Joris, et al.
Publicado: (2024)
por: Depoortere, Joris, et al.
Publicado: (2024)
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
por: Wang, Tiezhi, et al.
Publicado: (2023)
por: Wang, Tiezhi, et al.
Publicado: (2023)
Bayesian uncertainty-aware deep learning with noisy labels: Tackling annotation ambiguity in EEG seizure detection
por: Shama, Deeksha M., et al.
Publicado: (2024)
por: Shama, Deeksha M., et al.
Publicado: (2024)
On autoregressive deep learning models for day-ahead wind power forecasting with irregular shutdowns due to redispatching
por: Meisenbacher, Stefan, et al.
Publicado: (2024)
por: Meisenbacher, Stefan, et al.
Publicado: (2024)
Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals
por: Askari, Sahar, et al.
Publicado: (2026)
por: Askari, Sahar, et al.
Publicado: (2026)
Estimation of Cardiac and Non-cardiac Diagnosis from Electrocardiogram Features
por: Alcaraz, Juan Miguel Lopez, et al.
Publicado: (2024)
por: Alcaraz, Juan Miguel Lopez, et al.
Publicado: (2024)
FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals
por: Ranasinghe, Nisal, et al.
Publicado: (2025)
por: Ranasinghe, Nisal, et al.
Publicado: (2025)
Machine learning for triage of strokes with large vessel occlusion using photoplethysmography biomarkers
por: Goda, Márton Á., et al.
Publicado: (2025)
por: Goda, Márton Á., et al.
Publicado: (2025)
Detecting and measuring respiratory events in horses during exercise with a microphone: deep learning vs. standard signal processing
por: Parmentier, Jeanne I. M., et al.
Publicado: (2025)
por: Parmentier, Jeanne I. M., et al.
Publicado: (2025)
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
por: Roudini, Bijan, et al.
Publicado: (2024)
por: Roudini, Bijan, et al.
Publicado: (2024)
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study
por: Del Pup, Federico, et al.
Publicado: (2025)
por: Del Pup, Federico, et al.
Publicado: (2025)
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
por: Alcaraz, Juan Miguel Lopez, et al.
Publicado: (2024)
por: Alcaraz, Juan Miguel Lopez, et al.
Publicado: (2024)
ECGtizer: a fully automated digitizing and signal recovery pipeline for electrocardiograms
por: Lence, Alex, et al.
Publicado: (2024)
por: Lence, Alex, et al.
Publicado: (2024)
Equivariance-based self-supervised learning for audio signal recovery from clipped measurements
por: Sechaud, Victor, et al.
Publicado: (2024)
por: Sechaud, Victor, et al.
Publicado: (2024)
Data-driven tool wear prediction in milling, based on a process-integrated single-sensor approach
por: Hirsch, Eric, et al.
Publicado: (2024)
por: Hirsch, Eric, et al.
Publicado: (2024)
Physics-aware deep learning framework for the limited aperture inverse obstacle scattering problem
por: Yin, Yunwen, et al.
Publicado: (2024)
por: Yin, Yunwen, et al.
Publicado: (2024)
Towards actionable hypotension prediction -- predicting catecholamine therapy initiation in the intensive care unit
por: Koebe, Richard, et al.
Publicado: (2025)
por: Koebe, Richard, et al.
Publicado: (2025)
ECG Signal Denoising Using Multi-scale Patch Embedding and Transformers
por: Zhu, Ding, et al.
Publicado: (2024)
por: Zhu, Ding, et al.
Publicado: (2024)
Towards Channel Charting Enhancement with Non-Reconfigurable Intelligent Surfaces
por: Maleki, Mahdi, et al.
Publicado: (2025)
por: Maleki, Mahdi, et al.
Publicado: (2025)
Channel Charting in Smart Radio Environments
por: Maleki, Mahdi, et al.
Publicado: (2025)
por: Maleki, Mahdi, et al.
Publicado: (2025)
RUL forecasting for wind turbine predictive maintenance based on deep learning
por: Shah, Syed Shazaib, et al.
Publicado: (2024)
por: Shah, Syed Shazaib, et al.
Publicado: (2024)
A divide-and-conquer approach for sparse recovery of high dimensional signals
por: Bevelander, Aron, et al.
Publicado: (2024)
por: Bevelander, Aron, et al.
Publicado: (2024)
Benchmarking deep learning models for bearing fault diagnosis using the CWRU dataset: A multi-label approach
por: Rosa, Rodrigo Kobashikawa, et al.
Publicado: (2024)
por: Rosa, Rodrigo Kobashikawa, et al.
Publicado: (2024)
Outlier-Insensitive Kalman Filtering: Theory and Applications
por: Truzman, Shunit, et al.
Publicado: (2023)
por: Truzman, Shunit, et al.
Publicado: (2023)
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
por: Shmuel, Dor H., et al.
Publicado: (2023)
por: Shmuel, Dor H., et al.
Publicado: (2023)
Deep reinforcement learning approach to MIMO precoding problem: Optimality and Robustness
por: Lee, Heunchul, et al.
Publicado: (2020)
por: Lee, Heunchul, et al.
Publicado: (2020)
Automatic detection of abnormal clinical EEG: comparison of a finetuned foundation model with two deep learning models
por: Bussalb, Aurore, et al.
Publicado: (2025)
por: Bussalb, Aurore, et al.
Publicado: (2025)
Artifact detection and localization in single-channel mobile EEG for sleep research using deep learning and attention mechanisms
por: Semkiv, Khrystyna, et al.
Publicado: (2025)
por: Semkiv, Khrystyna, et al.
Publicado: (2025)
Ejemplares similares
-
Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts
por: Krones, Felix, et al.
Publicado: (2024) -
Review of multimodal machine learning approaches in healthcare
por: Krones, Felix, et al.
Publicado: (2024) -
Removing the need for ground truth UWB data collection: self-supervised ranging error correction using deep reinforcement learning
por: Coppens, Dieter, et al.
Publicado: (2024) -
Decoding non-invasive brain activity with novel deep-learning approaches
por: Csaky, Richard
Publicado: (2025) -
Generalizable deep learning for photoplethysmography-based blood pressure estimation -- A Benchmarking Study
por: Moulaeifard, Mohammad, et al.
Publicado: (2025)