Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data

Published in IEEE 17th International Symposium on Biomedical Imaging (ISBI)., 2020

Abstract

This paper proposes a new deep learning model using relational reasoning with diffusion-weighted imaging (DWI) data. We investigate how effectively and comprehensively DWI tractography-based connectome predicts the impairment of expressive and receptive language ability in individual children with focal epilepsy (FE). The proposed model constitutes a combination of a dilated convolutional neural network (CNN) and a relation network (RN), with the latter being applied to the dependencies of axonal connections across cortical regions in the whole brain. The presented results from 51 FE children demonstrate that the proposed model outperforms other existing state-of-the-art algorithms to predict language abilities without depending on connec-tome densities, with average improvement of up to 96.2% and 83.8% in expressive and receptive language prediction, respectively.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.