Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection. - Devender Kumar; Abdolrahman Peimankar; Kamal Sharma; Helena Dominguez; Sadasivan Puthusserypady; Jakob E. Bardram (Comput. Methods Programs Biomed., 2022)

mCardia: A Context-Aware ECG Collection System for Ambulatory Arrhythmia Screening. - Devender Kumar; Raju Maharjan; Alban Maxhuni; Helena Dominguez; Anne Frølich; Jakob E. Bardram (ACM Trans. Comput. Heal., 2022)

Reading Between the Leads: Local Lead-Attention Based Classification of Electrocardiogram Signals. - Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Jakob E. Bardram (CinC, 2023)

An investigation of the contextual distribution of false positives in a deep learning-based atrial fibrillation detection algorithm. - Devender Kumar; Sadasivan Puthusserypady; Helena Dominguez; Kamal Sharma; Jakob E. Bardram (Expert Syst. Appl., 2023)

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis. - Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Adrian Atienza; Jakob E. Bardram (CoRR, 2024)

Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation. - Adrian Atienza; Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Peter K. Jacobsen; Jakob E. Bardram (CoRR, 2025)