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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
About me
About me
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Posts
Future Blog Post
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
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
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
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
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
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
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Published in TBC, 2022
This paper is about TBC
Recommended citation: Chalcroft, L et al., (2023). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
talks
Deep Learning and Robotics in Healthcare
Published:
Overview of the field of Deep Learning and its application to healthcare, with a focus on medical imaging. Delivered as part of a series of guest lectures for the COMP0900: Intro to Deep Learning module for MSc students in the Department of Computer Science.
teaching
COMP0900: Intro to Deep Learning
Graduate course, University College London, Department of Computer Science, 2021
An introductory course on deep learning, starting from the machine learning fundamentals to at the end of the class have an understanding of the theoretical and practical aspects of deep learning