All Stories

  1. Teaching computers to detect the most severe heart attacks that don't show classic warning signs

    Article • August 2026, Springer Science + Business Media

    Bjørn-Jostein Singstad

  2. Predicting future heart disease from hemodynamic measurements during a cold-pressor test

    Article • Scientific Reports, June 2026, Springer Science + Business Media

    Bjørn-Jostein Singstad

  3. Multi-Stage Fine-Tuning of Pathology Foundation Models with Head-Diverse Ensembling for White Blood Cell Classification

    Article • April 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Bjørn-Jostein Singstad

  4. Machine Learning for Estimating Cardiorespiratory Fitness in Patients With Obesity: Protocol for a Retrospective and Prospective Multicenter Cohort Study

    Article • JMIR Research Protocols, March 2026, JMIR Publications Inc.

    Bjørn-Jostein Singstad

  5. Simpler beats fancier: training AI models on ECG to detect Chagas disease

    Article • December 2025, Computing in Cardiology

    Bjørn-Jostein Singstad

  6. Assessing the Impact of Downsampled ECGs and Alternative Loss Functions in Multi-Label Classification of 12-Lead ECGs

    Article • Cardiovascular Engineering and Technology, September 2025, Springer Science + Business Media

    Bjørn-Jostein Singstad

  7. Does explainable AI-ECG heart age differentiate pathological from physiological LV remodeling? A multi-cohort analysis including young elite athletes

    Article • September 2025, Cold Spring Harbor Laboratory Press

    Bjørn-Jostein Singstad

  8. [Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

    Article • January 2025, Cold Spring Harbor Laboratory Press

    Bjørn-Jostein Singstad

  9. ECG-DUaL: pose-invariant Digitization of printed electrocardiograms via U-net and Local edge detection

    Article • December 2024, Computing in Cardiology

    Bjørn-Jostein Singstad

  10. MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions

    Article • November 2023, Computing in Cardiology

    Bjørn-Jostein Singstad

  11. Towards Invariant Soft Biometrics from Electrocardiograms

    Article • November 2023, Computing in Cardiology

    Bjørn-Jostein Singstad

  12. Deep learning for automated LVOT diameter measurements in 2D echocardiography

    Article • Cardiovascular Ultrasound, October 2023, Springer Science + Business Media

    Bjørn-Jostein Singstad

  13. RoadAI: Reducing emissions in road construction

    Article • Nordic Machine Intelligence, August 2023, University of Oslo Library

    Bjørn-Jostein Singstad

  14. Using deep convolutional neural networks to predict patients age from an independent test cohort

    Article • Proceedings of the Northern Lights Deep Learning Workshop, January 2023, University Library at Tromso

    Bjørn-Jostein Singstad

  15. Phonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks

    Article • December 2022, Computing in Cardiology

    Bjørn-Jostein Singstad

  16. Assisted Cement Log Interpretation Using Machine Learning

    Article • SPE Drilling & Completion, November 2022, Society of Petroleum Engineers (SPE)

    Bjørn-Jostein Singstad

  17. Downsampled ECGs and Alternative Loss Functions in Multi-Label ECG Classification

    Article • November 2022, Cold Spring Harbor Laboratory Press

    Bjørn-Jostein Singstad

  18. Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort

    Article • October 2022, Cold Spring Harbor Laboratory Press

    Bjørn-Jostein Singstad

  19. Norwegian Endurance Athlete ECG Database

    Article • July 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Bjørn-Jostein Singstad

  20. Norwegian Endurance Athlete ECG Database

    Article • IEEE Open Journal of Engineering in Medicine and Biology, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Bjørn-Jostein Singstad

  21. Identifying Ionic Channel Block in a Virtual Cardiomyocyte Population Using Machine Learning Classifiers

    Article • January 2022, Springer Science + Business Media

    Bjørn-Jostein Singstad

  22. Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images

    Article • Nordic Machine Intelligence, November 2021, University of Oslo Library

    Bjørn-Jostein Singstad

  23. MedAI: Transparency in Medical Image Segmentation

    Article • Nordic Machine Intelligence, November 2021, University of Oslo Library

    Bjørn-Jostein Singstad

  24. Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain

    Article • September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Bjørn-Jostein Singstad

  25. Estimation of HRV from finger photoplethysmography during rest, exercise and stress

    Article • Journal of Electrical Bioimpedance, January 2021, De Gruyter

    Bjørn-Jostein Singstad

  26. Convolutional neural network and rule-based algorithms for classifying 12-lead ECGs

    Article • December 2020, Computing in Cardiology

    Bjørn-Jostein Singstad

  27. Design, development and testing of an analog ECG amplifier

    Article • May 2020, Open Engineering Inc

    Bjørn-Jostein Singstad

  28. Active Heave Compensator

    Article • May 2020, Center for Open Science

    Bjørn-Jostein Singstad