This month on OSOH
Open Algorithms
Our project is to develop an MRI-based algorithm to be used by radiologists and clinicians to ensure prompt recognition and interpretation of white matter abnormalities in patients with HSPs to accelerate the diagnostic process. In this session we will discuss how this project progressed from a flowchart, to a real functional tool, and teach you how to make your own. You will learn the workflow to compile your own database, what mistakes to look out for, and how to refine your search and use large databases (e.g. scopus). We will discuss how the algorithm was created and implemented, and give an overview of the tools we used to help plan and create the algorithm. We will briefly touch on topics such as Anaconda environments, python, and python packages, while explaining why we used these tools specifically, and what are alternatives suitable for your project.
Workshop:
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Office Hours
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Open Science Badges
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News and Events
Open Algorithms
DIY imaging-based algorithm
Science Communication
Practical methods for communicating science effectively
NeuroLibre
Reproducible and Executable Preprints
How open is my science?
Special lecture by Adam Thomas
Data Visualization
Creating open and reproducible data visualizations in Python
Communicating through code
Clean code and computational reproducibility.
Intro to Git/GitHub
In February, we introduce you to git and GitHub for tracking and sharing your code....
Installation help
In January, we're helping people install R, Python, and Git in preparation for future workshops....
Winter & Spring 2024
From January to May, we're all about Open Code and Software for Analysis!
DataLad
In December, we introduce DataLad for tracking your datasets.
Big Data
In November, we look at finding, accessing, and (re)using large open datasets.
Intro to BIDS
In October, we cover the basics of the Brain Imaging Data Structure - a key...
Intro to Open Data
This month, we cover the best practices of Data Management and Sharing, and how to...
Fall 2023: Open Data
Fall is the season of open data!
OSOH is alive!
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