Anna Matsulevits is a cognitive neuroscientist by training, currently finalising her PhD in the Neurofunctional Imaging Group (GIN) in Bordeaux, France. Her research lies at the intersection of artificial intelligence and medical imaging, with a particular focus on stroke management and outcome prediction.
As part of her doctoral work, Anna developed the Deep-Disconnectome — a deep learning tool that generates white matter disconnectivity maps from binary lesion inputs. Remarkably, these maps are not only 720 times faster to obtain, but also outperform the disconnectome data they were trained on in predicting long-term stroke outcomes. The tool is now openly accessible and embedded in a user-friendly GUI application. Come along to learn how to use it!
Register here: https://forms.gle/3BbChTk22uSAzKbt6
Date: May 21, 2025
Time:
- 10:00 AM EST (New York)
- 3:00 PM GMT (London)
- 10:00 PM CST (China)
Where: Zoom https://yale.zoom.us/j/94218918856