Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

<p><strong>Objective: </strong>Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). However, traditional supervised learning is limited by the need for large amounts of labeled data. We report the development of Biometric Contrastive...

Full description

Bibliographic Details
Main Authors:	Sangha, V, Khunte, A, Holste, G, Mortazavi, BJ, Wang, Z, Oikonomou, EK, Khera, R
Format:	Conference item
Language:	English
Published:	Oxford University Press 2024

Similar Items

Deep Contrastive Learning-Based Model for ECG Biometrics
by: Nassim Ammour, et al.
Published: (2023-02-01)

Automated multilabel diagnosis on electrocardiographic images and signals
by: Veer Sangha, et al.
Published: (2022-03-01)

Deep Learning in Biometrics /
by: Vatsa, Mayank, editor, et al.
Published: (2018)

Association of lifestyle with deep learning predicted electrocardiographic age
by: Cuili Zhang, et al.
Published: (2023-04-01)

Solving Inverse Electrocardiographic Mapping Using Machine Learning and Deep Learning Frameworks
by: Ke-Wei Chen, et al.
Published: (2022-03-01)

Special Issue on Advanced Biometrics with Deep Learning
by: Andrew Beng Jin Teoh, et al.
Published: (2020-06-01)

Deep learning-based electrocardiographic screening for chronic kidney disease
by: Lauri Holmstrom, et al.
Published: (2023-05-01)

Individual Biometric Identification Using Multi-Cycle Electrocardiographic Waveform Patterns
by: Wonki Lee, et al.
Published: (2018-03-01)

A deep biometric hash learning framework for three advanced hand‐based biometrics
by: Huikai Shao, et al.
Published: (2021-05-01)

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices
by: Akshay Khunte, et al.
Published: (2023-07-01)

Deep Learning-Based Wrist Vascular Biometric Recognition
by: Felix Marattukalam, et al.
Published: (2023-03-01)

A Survey of Biometric Recognition Using Deep Learning
by: Haider Mehraj, et al.
Published: (2020-10-01)

Ear Biometrics Using Deep Learning: A Survey
by: Aimee Booysens, et al.
Published: (2022-01-01)

Comparison of global methods for the image contrast enhancement based on biometric images
by: Dorota Smorawa, et al.
Published: (2016-06-01)

Efficient Multi-Biometric Secure-Storage Scheme Based on Deep Learning and Crypto-Mapping Techniques
by: Ahmed Sedik, et al.
Published: (2023-01-01)

Cancelable Biometrics Using Deep Learning as a Cloud Service
by: Tanuja Sudhakar, et al.
Published: (2020-01-01)

EMOEYE: DEEP LEARNING ALGORITHM FOR EMOTION DETECTION IN EYE-TRACKING AND BIOMETRICS DATA
by: Ekaterina Ivanina, et al.
Published: (2023-10-01)

Contrastive Learning Methods for Deep Reinforcement Learning
by: Di Wang, et al.
Published: (2023-01-01)

Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis
by: Louai A. Maghrabi, et al.
Published: (2024-01-01)

Dual-Biometric Human Identification Using Radar Deep Transfer Learning
by: Ahmad Alkasimi, et al.
Published: (2022-08-01)

Biometric Signals Estimation Using Single Photon Camera and Deep Learning
by: Marco Paracchini, et al.
Published: (2020-10-01)

ECG Biometrics Using Deep Learning and Relative Score Threshold Classification
by: David Belo, et al.
Published: (2020-07-01)

BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets
by: Paloma Tirado-Martin, et al.
Published: (2021-06-01)

Machine learning in precision diabetes care and cardiovascular risk prediction
by: Evangelos K. Oikonomou, et al.
Published: (2023-09-01)

Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning
by: Junmo Kim, et al.
Published: (2021-02-01)

Deep Contrastive Learning Network for Small-Sample Hyperspectral Image Classification
by: Quanyong Liu, et al.
Published: (2023-01-01)

Deep learning virtual Zernike phase contrast imaging for singlet microscopy
by: Yinxu Bian, et al.
Published: (2021-06-01)

Review of iris segmentation and recognition using deep learning to improve biometric application
by: Rasheed Hind Hameed, et al.
Published: (2023-12-01)

Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication
by: Sara Kokal, et al.
Published: (2023-06-01)

Electrocardiographic Imaging of Repolarization Abnormalities
by: Laura R. Bear, et al.
Published: (2021-05-01)

Predicting Sugarcane Biometric Parameters by UAV Multispectral Images and Machine Learning
by: Romário Porto de Oliveira, et al.
Published: (2022-08-01)

When contrastive learning meets clustering : explore inter-image contrast for image representation learning
by: Li, Shenggui
Published: (2021)

Deep graph level anomaly detection with contrastive learning
by: Xuexiong Luo, et al.
Published: (2022-11-01)

Efficient Photoacoustic Image Synthesis with Deep Learning
by: Tom Rix, et al.
Published: (2023-08-01)

Deep Learning Assisted Localization of Polycystic Kidney on Contrast-Enhanced CT Images
by: Djeane Debora Onthoni, et al.
Published: (2020-12-01)

Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning
by: Xiang Hu, et al.
Published: (2021-11-01)

Template-Driven Knowledge Distillation for Compact and Accurate Periocular Biometrics Deep-Learning Models
by: Fadi Boutros, et al.
Published: (2022-03-01)

A Secure Biometric Key Generation Mechanism via Deep Learning and Its Application
by: Yazhou Wang, et al.
Published: (2021-09-01)

A Deep Learning Technique for Biometric Authentication Using ECG Beat Template Matching
by: Allam Jaya Prakash, et al.
Published: (2023-01-01)

Deep Clustering by Graph Attention Contrastive Learning
by: Ming Liu, et al.
Published: (2023-05-01)