Open Science Office Hours - 鈥� Open Algorithms, DIY imaging-based algorithm
Atelier "Des algorithmes ouverts"
Mercredi, le 18 d茅cembre 2024
16 鈥� 17 h HNE
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Centre de communications de Grandpr茅听鈥�听Le Neuro et sur Zoom.
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Inscription gratuite :
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Workshop "Open Algorithms"
DIY imaging-based algorithm
Wednesday, December 18, 2024
4 鈥� 5 p.m. EST
de Grandpre Communications Centre, the Neuro听or join on Zoom.
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Registration is FREE:
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Ruwan Bedeir and Aleyeldin Hassan
The White Lab, The Neuro, McGill University
Ruwan Bedeir is a dedicated Master鈥檚 candidate with two years of experience in neuroscience research. She holds a B.Sc. Honours Specialization in Genetics from Western University and works at the White Lab. Ruwan鈥檚 primary research goal is to uncover the genetic factors behind white matter diseases, with a focus on developing targeted genetic therapies. She is actively involved in multiple projects that aim to differentiate between multiple sclerosis and similar conditions, investigate phenotypes and MR imaging in hereditary spastic paraplegia, and contribute to the White Matter Rounds Network. Her overarching mission is to make neuroscience more accessible to the public and advance our understanding of these complex conditions. Aley is a 4th year Economics student at Concordia University. His passion for computer programming and mathematics pushed him to pursue and obtain a Diploma in Data Science alongside his undergraduate studies. In 2023, he worked part-time as a statistics study group leader at the Student Success Center in Concordia University. Through academic and personal projects, he deepened his knowledge of machine learning algorithms and how to implement them to solve real world problems. As a volunteer for the lab, he uses his programming skills for custom program development as well as writing task automation scripts for data.
Abstract
They work together 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 they 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). They 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. They will briefly touch on topics such as Anaconda environments, python, and python packages, while explaining why they used these tools specifically, and what are alternatives suitable for your project.
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Contact:
osoh.neuro [at] mcgill.ca
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Open Science Office Hours (OSOH) is an initiative of the Tanenbaum Open Science Institute (TOSI), led by Neuro trainees, and supported by the McConnell Foundation and the TOSI Trainee Council. We organize events, provide one-on-one support, and curate resources to make it easy for neuroscience researchers at all levels to integrate Open Science practices in their work.
