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Nikola Stikov
B.S., M.S., Ph.D., Université Stanford

Research interests and affiliations

Research interests
  • Magnetic Resonance Imaging (MRI)
  • In vivo histology
  • Biophysical modeling
  • Brain and heart microstructure
  • Multiple sclerosis

Our team has access to world-class imaging facilities at the University of Montreal, and we also work closely with collaborators at the Montreal Neurological Institute and the newly established Stanford Center for Cognitive and Neurobiological Imaging. Due to the interdisciplinary and international nature of our projects, we are open to students from a wide range of scientific backgrounds.

If you are interested in joining, please send e-mail with your CV to: nikola.stikov@polymtl.ca.

Below is a list of ongoing projects:

  • Developing software for quantitative magnetic resonance imaging (qMRLab)
  • Vendor-neutral MRI pulse sequences for myelin imaging (VENUS)
  • Building a reproducible preprint server (NeuroLibre) for hosting the research article of the future
Expertise type(s) (NSERC subjects)
  • 1900 BIOMEDICAL ENGINEERING
  • 1901 Biomedical technology
  • 2518 Instrumentation and measurements
  • 2708 Image and video processing

Publications

Recent publications
Conference paper
Boudreau, M., Karakuzu, A., Cohen-Adad, J., Carr, M., Doneva, M., Dual, S. A., Ennis, D. B., Ensworth, A., Foias, A., Fortier, V., Gilbert, G., Grech-Sollars, M., Holloway, L., Hu, S., Jalnefjord, O., Koken, P., Kolokotronis, A., Kukran, S., Lee, N., ... Stikov, N. (2023, June). Phantom results of the ISMRM Joint RRSG-qMRSG reproducibility challenge on T1 mapping [Paper]. ISMRM & ISMRT annual Meeting & Exhibition, Toronto, ON, Canada.

Biography

Co-director, Neuroimaging Research Laboratory (NeuroPoly)
http://www.polymtl.ca/recherche/rc/unites/details.php?NoUnite=184

Researcher at Montreal Heart Institute
https://www.icm-mhi.org/en/contact-us/employees?letter=S

 

Dr. Nikola Stikov is associate professor of biomedical engineering, a researcher at the Montreal Heart Institute, and co-director of NeuroPoly, the Neuroimaging Research Laboratory at École Polytechnique, University of Montreal. Prior to joining the Polytechnique faculty, Dr. Stikov completed his postdoctoral training at the Montreal Neurological Institute, and his B.S., M.S., and Ph.D. degree at Stanford University.


Dr. Stikov's research runs the gamut of quantitative magnetic resonance imaging, from basic issues of standardization and accuracy, to biophysical modeling, microstructural imaging and clinical applications. He is a vocal open science advocate, leading the open science axis of the Quebec Bioimaging Network (QBIN) and sitting on the steering committee of the Canadian Open Neuroscience Platform (CONP). He is also co-founder of NeuroLibre.org, a preprint server for hosting executable research objects, and the founder of the Center for advanced interdisciplinary research at the University Ss Cyril and Methodius in Skopje, Macedonia.

 

Distinctions

  • FRQS research chair (chercheur boursier Junior 1 in 2017 and Junior 2 in 2021)
  • Best teacher in biomedical engineering (2017, 2018, 2020)
  • Junior Fellow of the International Society for Magnetic Resonance in Medicine (2014) 
  • Montreal Neurological Institute CECR Fellowship (2010)
  • Stanford Centennial Teaching Assistant Award (2007)
  • Stanford Electrical Engineering Outstanding Service Award (2003) 

Teaching

GBM2330 Principles of biomedical instrumentation
https://moodle.polymtl.ca/enrol/index.php?id=879

GBM6330e Emerging biomedical technologies
https://moodle.polymtl.ca/enrol/index.php?id=1720

 

Supervision at Polytechnique

COMPLETED

Press review about Nikola Stikov

September 21, 2021, Organization for Human Brain Mapping, NEUROSALIENCE S2 Ep3: Nikola Stikov, Physicist, Engineer, Open Scientist & Communicator Dans cet épisode du balado « Neurosalience » produit par la société savante Organisation For Human Brain Mapping, Nikola Stikov, professeur agrégé au Département de génie électrique de Polytechnique Montréal, discute à propos de ses recherches sur l'utilisation de l'imagerie à résonance magnétique pour obtenir des informations sur la structure cellulaire du cerveau (en anglais).