Brain Space Initiative Talk Series: Deep learning for neuroradiological assessment of epilepsy

*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************

Event Details
  • Date/Time:
    • Friday October 28, 2022
      1:00 pm - 2:00 pm
  • Location: Virtual
  • Phone:
  • URL:
  • Email:
  • Fee(s):
    N/A
  • Extras:
Contact

Armin Iraji

Summaries

Summary Sentence: Featuring Leonardo Bonilha, professor of neurology and clinician scientist at Emory University

Full Summary: No summary paragraph submitted.

Date: Friday, October 28, 2022

Time: 1:00 p.m. - 2:00 p.m.

Location: Virtual (log-in instructions below)

Speaker: Leonardo Bonilha 

Speaker’s Title: Professor of Neurology and Clinician Scientist 

Speaker’s Affiliation: Emory University

Seminar Title: Deep learning for neuroradiological assessment of epilepsy

Conventional neuroradiological diagnosis of epilepsy still relies on qualitative inspection of clinical MRI. Epilepsy is associated with subtle quantitative abnormalities that have not been leveraged to improve diagnostic accuracy. In this talk, we will discuss applications of deep learning to address this scientific and clinical gap.

Biosketch: I am a Professor of Neurology and clinician scientist at Emory University. I am a clinical neurophysiologist and epileptologist, and I also have graduate and post-graduate degrees in computational neurosciences, clinical research and neuroimaging.

Overall, my research is focused on improving the understanding of the mechanisms that underlie neurological impairments, epilepsy and language processing. I am directly involved in mechanistic research projects related to epilepsy or aphasia. My research is also related to clinical trials for aphasia treatments.

In epilepsy research, I am the corresponding MPI on an R01 project to assess connectome markers of epilepsy surgical outcomes. Related to language and aphasia, I am the PI for an NIDCD supported R01 project on biomarkers of aphasia recovery using the brain connectome. I am the corresponding MPI for the phase II clinical trial speech entrainment for aphasia recovery (SpARc), and the PI of a core project related to brain health and aphasia recovery, as part of the ongoing P50 Center for the Study of Aphasia Recovery (C- STAR, PI Fridriksson).

Recommended Article:

Log-in Instructions:

Meeting number: 2622 361 2798

Password: mZbM2SCNB33 (69262726 from phones)

https://gsumeetings.webex.com/gsumeetings/j.php?MTID=m8be1d676c52dbc821ceb6f6edd83b4be

Join by phone

+1-415-655-0002 US Toll

Access code: 2622 361 2798

Log-in Instructions:

Additional Information

In Campus Calendar
Yes
Groups

School of Electrical and Computer Engineering

Invited Audience
Faculty/Staff, Postdoc, Graduate students, Undergraduate students
Categories
Seminar/Lecture/Colloquium
Keywords
No keywords were submitted.
Status
  • Created By: dwatson71
  • Workflow Status: Published
  • Created On: Oct 20, 2022 - 9:23pm
  • Last Updated: Oct 20, 2022 - 9:29pm