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Data 2 Share – Request to Mark Cicero – MC1

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Data 2 Share – Request to Ali Tavallaei – AT1

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Data 2 Share – Request to Sarah Mattonen – SM1

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Data 2 Share – Request to Ali Khan – AK1

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Data 2 Share – Request to Anne Martel – AM1

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Data 2 Share – Request to Aaron Fenster – AF1

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MaLMIC sponsored machine learning session at ImNO 2023 – Symposium Session, March 23/24, 2023

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MaLMIC is pleased to support three sessions at the ImNO 2023 symposium in London ON on Friday, March 24

Machine Learning in Image Reconstruction – Forum, January 20, 2023

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For the January forum on machine learning in image reconstruction, the first presentation by Ge Wang, a researcher, was about CT image reconstruction and the second presentation by Charlie Millard, a postdoctoral fellow, was about MRI image reconstruction. The talks were followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Machine Learning in SaRS-COV-2 and COVID Medical Imaging – Forum, November 18, 2022

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Douglas Lee, a cardiologist and clinician scientist, presented his work on machine learning in COVID-related risk analysis using large-scale population data. Simon Graham, a senior scientist, presented his recent work on COVID-related medical imaging. The talks were followed by a discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Natural Language Processing – Forum, October 28, 2022

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Richard Do, a radiologist, started the forum with a presentation on natural language processing (NLP) of radiology reports to track metastatic spread. Heidi Hanson, a researcher, talked about NLP in cancer surveillance. The two presentations were followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

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