Final projects of our first students NEUROML 2020 🎉:

• EEG analysis for Traumatic Brain injury
• MRI 3D CNN models interpretation and experiments
• fMRI Data Classification using Deep Learning on the Manifold of Symmetric Positive Definite Matrices
• DL for pre-surgical planning: VAE and classification
• EEG Hyperscanning During Cooperative Interaction

🗳 Anonymous feedback form responses :

"I expected to learn how to work with medical data, how to properly transform it, and I learned it. On the other hand, I didn’t expect deep theoretical lectures on various neuroimaging methods, but it’s also interesting."

"Overall I enjoyed that we explored both applications of ML to the neuroscience and practical tools which can be useful for any data scientist."

"clear examples of how to tackle neuroimaging problems in code, the variety of covered topics, and even deep learning methods for fmri."

"In general I would say it was a nice experience, congrats to the lecturer and awesome TAs!"

For full responses go here

📁Seminars:

📁Lectures:

📪 Chat, with all discussions and materials https://t.me/joinchat/DAQqYxoc_gAgeqiBZCSmyA

📁Homework assignments 2020 year

📁Proposed projects 2020