What’s new on the QBIN blog

Embracing Diversity Charting the Path Forward with Professor Kacie Deters (podcast)

Dive into the captivating world of neuroimaging with Dr. Kacie Deters, a professor from the University of San Francisco, California, in our latest episode of the QBIN podcast! Discover the complex topic of racial disparities within the field as we discuss access barriers, test validity, and the nuances of inclusivity initiatives.

A quick guide to MRI and how it works

Magnetic Resonance Imaging, or MRI, can be a challenge to understand for anyone who is new to the field. In her latest blog post, PhD student Flavie Detcheverry guides us through the basics of what MRI is and the physics of how it works.

Pain and the brain: a real labyrinth! (podcast)

On the fifth episode of the QBIN podcast (in French), Béry Mohammediyan speaks to Professor Mathieu Roy to talk about bio-imaging and pain. They explore how bio-imaging has helped researchers like Professor Roy to better understand pain, which is complex and hard to treat.

Forget Tylenol, Try Passion: A Journey into Pain Management

In this blog post, McGill student Vanessa Krohn, delves into the fascinating world of research in pain management. By sharing some of the research conducted in the Roy Pain lab, she explores how distraction and the flow experience can influence pain perception positively, and how this fascinating research can be used to develop more effective and personalized pain management techniques.

Meet our members: Insights and advice from attendees of the 2023 Scientific Day

At the conclusion of this year’s scientific day, attendees gathered for a cocktail reception to network and discuss their research. Ikrame Housni, a member of the student and postdoc communications committee, interviewed a few attendees, capturing their insights on the event and advice for young researchers.

What is Deep Learning, and what can it do for neuroimaging-based diagnoses?

In our everyday lives, we all process and recognize hundreds of different objects, and although we may not think about it, developing this ability is actually an intricate learning process. Much like people, machines can be taught object recognition by mimicking the learning process of the human brain. In this piece, Master’s student Ikrame Housni explains the basics of Deep Learning and how it can be useful for the diagnosis of neurodegenerative diseases.