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.
Damian Kucharski
ML Researcher · ML Systems · Medical & Space Data
I’m an ML Researcher working on machine learning systems and applied research across medical and space data. I also have hands-on experience applying generative AI, building LLM-powered tooling and automation for real engineering workflows. I have co-authored peer-reviewed publications in machine learning and medical imaging and am a co-inventor on patents for automated medical image analysis.
Recent Publications
Interpretable 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.