All Stories

  1. Continuous Multimodal AI with Wearable Vital Signs Predicts Postoperative Complications in the General Ward

    Article • November 2025, Cold Spring Harbor Laboratory Press

    Bjarne Pfitzner

  2. Differentially-Private Federated Learning with Non-IID Data For Surgical Risk Prediction

    Article • International Journal of Semantic Computing, October 2025, World Scientific Pub Co Pte Lt

    Bjarne Pfitzner

  3. 90-day mortality prediction in elective visceral surgery using machine learning: a retrospective multicenter development, validation, and comparison study

    Article • International Journal of Surgery, April 2025, Wolters Kluwer Health

    Bjarne Pfitzner

  4. Enhancing Preoperative Outcome Prediction: A Comparative Retrospective Case–Control Study on Machine Learning versus the International Esodata Study Group Risk Model for Predicting 90-Day Mortality in Oncologic Esophagectomy

    Article • Cancers, August 2024, MDPI AG

    Bjarne Pfitzner

  5. Federated Learning for Network Intrusion Detection in Ambient Assisted Living Environments

    Article • IEEE Internet Computing, July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner

  6. Federated Learning for Activity Recognition: A System Level Perspective

    Article • IEEE Access, January 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner

  7. Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit

    Article • January 2023, Springer Science + Business Media

    Bjarne Pfitzner

  8. Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review

    Article • Frontiers in Digital Health, August 2022, Frontiers

    Bjarne Pfitzner

  9. Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data

    Article • Sensors, July 2022, MDPI AG

    Bjarne Pfitzner

  10. Implicit model specialization through dag-based decentralized federated learning

    Article • December 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner

  11. Sensor-Based Obsessive-Compulsive Disorder Detection With Personalised Federated Learning

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

    Bjarne Pfitzner

  12. Perioperative Risk Assessment in Pancreatic Surgery Using Machine Learning

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

    Bjarne Pfitzner

  13. Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks

    Article • September 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner, Ana Cholakoska, Hristijan Gjoreski

  14. Data Augmentation of Kinematic Time-Series From Rehabilitation Exercises Using GANs

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

    Bjarne Pfitzner

  15. Federated Learning in a Medical Context: A Systematic Literature Review

    Article • ACM Transactions on Internet Technology, June 2021, ACM (Association for Computing Machinery)

    Bjarne Pfitzner

  16. Tangle Ledger for Decentralized Learning

    Article • May 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Bjarne Pfitzner