Detecting cardiovascular diseases using ECG scans and explainable artificial intelligence
An explainable AI framework for quantifying the stability of deep learning models analyzing ECG scans under controlled image perturbations.
Tag: ECG
View all tagsInterpretable arrhythmia detection in ECG scans using deep learning ensembles: a genetic programming approach
A deep learning ensemble framework for detecting cardiac arrhythmias and predicting atrial fibrillation recurrence from ECG scans.
Giraffe: A Genetic Programming Algorithm To Build Deep Learning Ensembles For Ecg Arrhythmia Classification
A genetic programming algorithm for building deep learning ensembles for ECG arrhythmia classification.
Crafting Deep Learning Models for Classifying ECG Paper Printouts
An InceptionV3-based approach for classifying ECG paper printouts using the Generalized Extreme Value activation function and loss weighting, developed as part of the George B. Moody PhysioNet Challenge 2024.