Vasiliki (Vicky) Bikia

AI Researcher in Healthcare

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I am a postdoc at the Stanford Institute for Human-Centered Artificial Intelligence and the Daneshjou Lab. My current work focuses on developing multimodal models to enhance biomarker identification and predict patient outcomes. I am also excited about developing patient-facing chatbots to help individuals better understand medical information. My overarching goal is to improve patient outcomes while making healthcare more accessible and effective for everyone.

I received my Advanced Diploma degree in Electrical and Computer Engineering from the Aristotle University of Thessaloniki (AUTH), Greece, in 2017, and my Ph.D. degree in Biomedical Engineering from the Swiss Federal Institute of Technology of Lausanne (EPFL), Switzerland, in 2021, respectively. During my Ph.D., I worked in the Laboratory of Hemodynamics and Cardiovascular Technology, under the mentorship of Prof. Nikolaos Stergiopulos. My Ph.D. research addressed the clinical need for providing non-invasive tools for cardiovascular monitoring leveraging machine learning and physics-based numerical modeling.

selected publications

  1. ml_for_aortic_hemo_and_elastance.pdf
    Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning
    Vasiliki Bikia, Theodore G. Papaioannou , Stamatia Pagoulatou , Georgios Rovas , Evangelos Oikonomou , and 3 more authors
    Scientific Reports, Dec 2020
  2. inverse1.png
    Noninvasive cardiac output and central systolic pressure from cuff-pressure and pulse wave velocity
    Vasiliki Bikia, Stamatia Pagoulatou , Bram Trachet , Dimitrios Soulis , Athanase D. Protogerou , and 2 more authors
    IEEE Journal of Biomedical and Health Informatics, Jul 2020
  3. stethoscope.png
    AI-based estimation of end-systolic elastance from arm-pressure and systolic time intervals
    Vasiliki Bikia, Dionysios Adamopoulos , Stamatia Pagoulatou , Georgios Rovas , and Nikolaos Stergiopulos
    Frontiers in Artificial Intelligence, Jul 2021
  4. CT_and_Zao_prediction.png
    Determination of Aortic Characteristic Impedance and Total Arterial Compliance From Regional Pulse Wave Velocities Using Machine Learning: An in-silico Study
    Vasiliki Bikia, Georgios Rovas , Stamatia Pagoulatou , and Nikolaos Stergiopulos
    Frontiers in Bioengineering and Biotechnology, May 2021
  5. ct_asklepios.png
    On the assessment of arterial compliance from carotid pressure waveform
    Vasiliki Bikia, Patrick Segers , Georgios Rovas , Stamatia Pagoulatou , and Nikolaos Stergiopulos
    American Journal of Physiology-Heart and Circulatory Physiology, Aug 2021
  6. deep_elastance.pdf
    Estimation of left ventricular end-systolic elastance from brachial pressure waveform via deeplearning
    Vasiliki Bikia, Marija Lazaroska , Deborah Scherrer Ma , Méline Zhao , Georgios Rovas , and 2 more authors
    Frontiers in Bioengineering and Biotechnology, Oct 2021
  7. ml_review.pdf
    Leveraging the potential of machine learning for assessing vascular ageing: state-of-the-art and future research
    Vasiliki Bikia, Terence Fong , Rachel E Climie , Rosa-Maria Bruno , Bernhard Hametner , and 3 more authors
    European Heart Journal - Digital Health, Dec 2021
  8. pumping_heart.gif
    Cardiac output estimated from an uncalibrated radial blood pressure waveform: validation in an in-silico-generated population
    Vasiliki Bikia, Georgios Rovas , and Nikolaos Stergiopulos
    Frontiers in Bioengineering and Biotechnology, May 2023
  9. similarity_car_ao.png
    On the similarity between aortic and carotid pressure diastolic decay: a mathematical modelling study
    Vasiliki Bikia, Georgios Rovas , Sokratis Anagnostopoulos , and Nikolaos Stergiopulos
    Scientific Reports, Jul 2023
  10. thesis_bikia.png
    Non-invasive monitoring of key hemodynamical and cardiac parameters using physics-based modelling and artificial intelligence
    Vasiliki Bikia
    Jul 2021
    Publisher: Lausanne, EPFL
  11. paws.png
    Utility of smart watches for identifying arrhythmias in children
    Aydin Zahedivash , Henry Chubb , Heather Giacone , Nicole K Boramanand , Anne M Dubin , and 6 more authors
    Communications Medicine, Jul 2023
  12. modelling_review.png
    Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet
    Jordi Alastruey , Peter H Charlton , Vasiliki Bikia, Birute Paliakaite , Bernhard Hametner , and 6 more authors
    American Journal of Physiology-Heart and Circulatory Physiology, Jul 2023
  13. design_graft_rovas.png
    Design and computational optimization of compliance-matching aortic grafts
    Georgios Rovas , Vasiliki Bikia, and Nikolaos Stergiopulos
    Frontiers in Bioengineering and Biotechnology, Jul 2023
  14. quantification_rovas.png
    Quantification of the phenomena affecting reflective arterial photoplethysmography
    Georgios Rovas , Vasiliki Bikia, and Nikolaos Stergiopulos
    Bioengineering, Jul 2023
  15. stiffness_renaldisease.png
    Assessment of large and small arteries stiffness in end-stage renal disease patients: a numerical study
    Hasan Obeid , Vasiliki Bikia, Catherine Fortier , Mathilde Pare , Patrick Segers , and 2 more authors
    Frontiers in Physiology, Feb 2022