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.
Data Scientist & Machine Learning Researcher
I’m a PhD candidate in Computer Science at the Silesian University of Technology, specializing in machine learning applications in medicine. My research focuses on developing deep learning solutions for medical imaging and clinical decision support systems, with emphasis on interpretability and real-world clinical utility.
An explainable AI framework for quantifying the stability of deep learning models analyzing ECG scans under controlled image perturbations.
A deep learning ensemble framework for detecting cardiac arrhythmias and predicting atrial fibrillation recurrence from ECG scans.
A genetic programming algorithm for building deep learning ensembles for ECG arrhythmia classification.