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Regular version of the site

Scientific seminar: Predicting Aphasia Type and Severity Using Machine Learning

Event ended

The Laboratory of Artificial Intelligence for Cognitive Sciences (AICS) cordially invites you, your colleagues, and your students to participate in the lab’s scientific seminars starting on Wednesday 19 June at 2 pm.

Subject: Predicting Aphasia Type and Severity Using Machine Learning

Abstract.
Aphasia is a language disorder that can result from brain damage, often caused by a stroke or traumatic brain injury. The type and severity of aphasia can vary widely among individuals making accurate diagnosis and treatment challenging in real life conditions. In this paper, we propose an approach to determine the type and severity of aphasia using machine and deep learning on brain MRI (Magnetic Resonance Imaging) scans. By leveraging the power of deep neural networks to augment and analyze brain imaging data, we aim to develop a reliable and automated method for classifying different types of aphasia and assessing their severity. Our study will involve training multiple machine and deep learning models to generate synthetic data in order to augment the existing dataset and accurately classify and quantify the characteristics of aphasia. The results of this research have the potential to improve the diagnosis and management of aphasia, leading to better outcomes for individuals affected by this debilitating condition.

The presentation will be delivered by: Matvey Kairov (HSE BSc student and research assistant of AICS)

Supervisor: Shalileh Soroosh (Ph.D. in Computer Science, Laboratory Head)

The meeting will be held in a hybrid format. We meet in person at the address: Krivokolenny lane, 3, room 302 or online in Zoom.

To participate in the seminar, please register

To order passes for external members of the seminar please contact laboratory manager Lobashova Alina: aalobashova@hse.ru or +7 (927) 407 21-84.