Nordic IEEE SPS TechTalk Series - Signal Processing for Medical Applications
Dear SPS members,
We are please to inform you that on September 26th 12:30-13:30, at UiS (KE E-439), we'll host a tech talk series on "Signal Processing for Medical Applications" featuring:
- Prof. Marta Molinas (Department of Engineering Cybernetics, NTNU, Trondheim, Norway)
- Dr. Matthan Caan (Academic Medical Center, UvA, Amsterdam, The Netherlands)
The event will be hybrid, and an open registration form will be provided starting September 9th 12:00.
Best regards,
IEEE SPS Norway
Date and Time
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- University of Stavanger
- Stavanger, Rogaland
- Norway 4036
- Building: Kjølv Egelands hus
- Room Number: KE E-439
- Starts 08 September 2025 10:00 PM UTC
- Ends 25 September 2025 10:00 PM UTC
- No Admission Charge
Speakers
Marta Molinas
A Window into the Brain: Bringing EEG Neuroimaging into Home-Based BCIs
Over the past century, Electroencephalography (EEG) technology has evolved from Hans Berger’s initial recordings with two electrodes to modern systems with over 300 electrodes. Recently, consumer-grade EEG devices with lower electrode density have emerged, laying the groundwork for EEG-based Brain-Computer Interfaces (BCIs) used in neurorehabilitation, biofeedback, and communication for people with disabilities. Current BCIs rely on the analysis of surface level signals from scalp electrodes, but brain source analysis (EEG source imaging) offers a more accurate view of brain function by looking deeper into the brain. The talk will present a method to obtain precise EEG source imaging using low electrode density EEG suitable for home use, validated against high-density EEG. This technique, tested in games for neurorehabilitation, is being expanded for Locked-In Syndrome communication, ADHD detection and dream decoding, with a prototype, FlexEEG, in testing at NTNU.
Biography:
Marta Molinas is a Professor of Electrical Engineering at the Norwegian University of Science and Technology (NTNU), where she leads the Brain Cybernetics Lab. She earned her Doctor of Engineering degree from the Tokyo Institute of Technology in 2000 and has held positions as a JSPS Fellow in Japan and a visiting professor at Columbia University. Her research focuses on developing innovative Brain-Computer Interface (BCI) systems for both medical and non-medical applications. Dr. Molinas is a Fellow of IEEE and serves on editorial boards for several prominent scientific journals.
Address:Department of Engineering Cybernetics, NTNU, Trondheim, Norway
Matthan Caan
AI for quantifying MRI - reconstruction & statistical analysis
MRI measures beyond what the eye can see, and artificial intelligence (AI) learns beyond what the human mind can perceive. I am developing AI-methods throughout the chain of MRI acquisition, reconstruction, quantification and statistical analysis. The development is deeply motivated by clinical needs, and methods find their application in different disease types. In my talk, I will show how AI enables faster MRI scanning, and enables treatment outcome prediction in psychiatry.
Biography:
Matthan Caan is assistant professor at Amsterdam UMC, The Netherlands at the department of Biomedical Engineering & Physics. His research focuses on Artificial Intelligence for quantifying MRI, with target areas image reconstruction and statistical analysis. Methods include quantitative MRI, and machine learning for predicting treatment outcome. He has participated with winning contributions in reconstruction challenges. He is visiting senior scientist at the Computational Radiology and Artificial Intelligence group at the University Hospital in Oslo, Norway. He is lecturing and coordinating courses on Imaging the Brain and Deep Learning for Medical Imaging the University of Amsterdam. Recently he started a biocomputation lab at the ADORE institute of Amsterdam UMC.
Address:Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands