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fixing typo, updating home page
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ruwanbedeir committed Dec 4, 2024
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4 changes: 2 additions & 2 deletions _posts/2024-12-3-Dec-openalgorithms.md
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<!-- ![](../assets/images/video_screenshots/click-to-see-video.png) -->

<!-- [![](../assets/images/video_screenshots/2023-10-05_osoh_ko_oct-video-screenshot.png)](https://www.youtube.com/watch?v=OHxnwzOKqHM&list=PL4IAzeXaocvx2rSfU1YCuTN3SmnOMqOz3&index=4) -->
<img align="right" width="400" src="{{site.baseurl}}/assets/images/monthly_posters/2024-12-3_osoh_rb_dec-poster-portrait">
<img align="right" width="400" src="{{site.baseurl}}/assets/images/monthly_posters/2024-12-3_osoh_rb_dec-poster-portrait.png">


### Expert of the month
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And on Zoom (register for link)

<orange>Abstract</orange>
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 speciially, and what are alternatives suitable for your project.
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.


<orange>Attendance is FREE, please register:</orange>
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<div class="row align-items-end justify-content-between">
<div class="col-md-7">
<h3 class="font-weight-bold mb-1 serif-font text-lg-left text-left">This month on OSOH</h3>
<h1 class="font-weight-bold mb-1 serif-font text-lg-left text-left">Open Publishing</h1>
<p class="lead text-lg-left text-left"><br> **Please note that today’s event has been canceled due to unexpected circumstances. Thank you to everyone who registered to attend and we apologize for any inconvenience this may have caused you. Stay tuned for the next OSOH event in December! ** In this session, you will explore how to ensure that your published work is made openly accessible, prioritizing access over profit. We will dive into why making your work open matters, not just for your own visibility and impact, but also to advance knowledge-sharing globally. You will learn how to navigate the open publishing landscape in Canada, including key insights on current and upcoming funding agencies requirements for open access publishing. This workshop will focus on the importance of open science, with open access at its heart. You’ll discover how adopting open publishing practices is taking a bite out of the for-profit publishing model, helping democratize research. Open publishing is key to ensuring that research findings are shared widely, equitably, and without the barriers imposed by traditional publishing houses. Join us to learn practical steps for making your work accessible to all.
<h1 class="font-weight-bold mb-1 serif-font text-lg-left text-left">Open Algorithms</h1>
<p class="lead text-lg-left text-left"><br> 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.
</p>
<br>
<p class="text-lg-left text-left"><b>Workshop:</b> <orange>CANCELED: November 12, 4 pm at the Thomson House, PGSS McGill University</orange> <br>
<b>Expert: </b> <orange>Robin Desmeules, Interim Coordinator of Scholarly Communications at McGill Libraries</orange> </p>
<p class="text-lg-left text-left"><b>Workshop:</b> <orange>December 18, 4 pm at de Grandpré, Mcgill University</orange> <br>
<b>Expert: </b> <orange>Ruwan Bedeir and Aleyeldin Hassan, The White Lab</orange> </p>
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<a href="{{site.baseurl}}/nov-openpublishing" class="btn btn-dark text-light px-5 btn-lg"
style="background-color:rgb(255, 255, 255, .2)">More info!</a>
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