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UID:20250421T114622EDT-30151LF5hu@132.216.98.100
DTSTAMP:20250421T154622Z
DESCRIPTION:Atelier 'Des algorithmes ouverts'\n\nMercredi\, le 18 décembre 
 2024\n	16 – 17 h HNE\n	 \n\nCentre de communications de Grandpré – Le Neuro 
 et sur Zoom.\n	Directions\n\nInscription gratuite : Cliquez-ici\n\n————————
 ————————————————————————————\n\nWorkshop 'Open Algorithms'\n\nDIY imaging-
 based algorithm\n\nWednesday\, December 18\, 2024\n	4 – 5 p.m. EST\n\nde Gr
 andpre Communications Centre\, the Neuro or join on Zoom.\n	Directions\n\nR
 egistration is FREE: Click Here\n\n \n\nRuwan Bedeir and Aleyeldin Hassan
 \n	The White Lab\, The Neuro\, 91ÉçÇø\n\nRuwan Bedeir is a dedic
 ated Master’s candidate with two years of experience in neuroscience resea
 rch. She holds a B.Sc. Honours Specialization in Genetics from Western Uni
 versity and works at the White Lab. Ruwan’s primary research goal is to un
 cover the genetic factors behind white matter diseases\, with a focus on d
 eveloping 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 overar
 ching mission is to make neuroscience more accessible to the public and ad
 vance our understanding of these complex conditions. Aley is a 4th year Ec
 onomics student at Concordia University. His passion for computer programm
 ing and mathematics pushed him to pursue and obtain a Diploma in Data Scie
 nce 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 know
 ledge of machine learning algorithms and how to implement them to solve re
 al world problems. As a volunteer for the lab\, he uses his programming sk
 ills for custom program development as well as writing task automation scr
 ipts for data.\n\nAbstract\n\nThey work together to develop an MRI-based a
 lgorithm to be used by radiologists and clinicians to ensure prompt recogn
 ition and interpretation of white matter abnormalities in patients with HS
 Ps 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 compi
 le your own database\, what mistakes to look out for\, and how to refine y
 our search and use large databases (e.g. scopus). They will discuss how th
 e algorithm was created and implemented\, and give an overview of the tool
 s we used to help plan and create the algorithm. They will briefly touch o
 n topics such as Anaconda environments\, python\, and python packages\, wh
 ile explaining why they used these tools specifically\, and what are alter
 natives suitable for your project.\n\n \n\nVisit the event web page for mo
 re information.\n\nBook a one-one-one with the experts here\n\nContact:\n	o
 soh.neuro [at] mcgill.ca\n	 \n\nOpen Science Office Hours (OSOH) is an init
 iative of the Tanenbaum Open Science Institute (TOSI)\, led by Neuro train
 ees\, and supported by the McConnell Foundation and the TOSI Trainee Counc
 il. We organize events\, provide one-on-one support\, and curate resources
  to make it easy for neuroscience researchers at all levels to integrate O
 pen Science practices in their work.\n
DTSTART:20241218T210000Z
DTEND:20241218T220000Z
LOCATION:De Grandpre Communications Center\, Montreal Neurological Institut
 e\, CA\, QC\, Montreal\, H3A 2B4\, 3801 rue University
SUMMARY:Open Science Office Hours - – Open Algorithms\, DIY imaging-based a
 lgorithm
URL:/neuro/channels/event/open-science-office-hours-op
 en-algorithms-diy-imaging-based-algorithm-361883
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