Events

Machine Learning in Computational Pathology- Forum, May 26, 2023

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For the May forum on machine learning in computational pathology, the first presentation by April Khademi, a researcher, will be about augmenting breast pathology workflows using AI and the second presentation by Phedias Diamandis, a pathologist, will be about under-supervised approaches to mapping tumour heterogeneity. The talks will be followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

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, will be about CT image reconstruction and the second presentation by Charlie Millard, a postdoctoral fellow, will be about MRI image reconstruction. The talks will be 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, will present his work on machine learning in COVID-related risk analysis using large-scale population data. Simon Graham, a senior scientist, will present his recent work on COVID-related medical imaging. The talks will be 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, will start the forum with a presentation on natural language processing (NLP) of radiology reports to track metastatic spread. Heidi Hanson, a researcher, will talk about NLP in cancer surveillance. The two presentations will be followed by discussion focused on lessons learned, opportunities to collaborate, and sharing of resources.

Machine Learning in Radiology – Forum, July 15 2022

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Jaron Chong will start the forum with an overview of the state of AI for medical imaging in Canada. The second presentation will be by Alex Bilbily talking about the road to building impactful AI medical devices. The third presentation will be by Benjamin Fine on pre-deployment evaluation. The three talks will be followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.

Machine learning in Liquid Biopsy – Forum, June 17 2022

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Alex Wyatt will give a general introduction to liquid biopsy. This will be followed by Eric Zhao talking about his research work using liquid biopsy in head and neck cancer, and Nick Cheng talking about his research work using liquid biopsy for early detection of high-risk breast cancer. The presentations will be followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate and sharing of resources.

Machine Learning in Vascular Imaging– Forum, May 27, 2022

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David Spence, a clinician, will talk about the need for machine learning applications in vascular imaging. His presentation will be followed by two researchers, Eran Ukwatta and Fumin Guo, talking about their work in vascular imaging machine learning. The talks will be followed by a discussion focused on lessons learned, opportunities to collaborate and sharing of resources.

Machine learning for molecular and cellular imaging – Forum, April 22, 2022

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Hartland Jackson will talk about machine learning applied to imaging mass cytometry. Parvin Mousavi will present her work on mass spectrometry applied to real-time intraoperative tumour margin detection. David Andrews will talk about machine learning in high throughput single-cell imaging. The talks will be followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.

MaLMIC sponsored machine learning session at ImNO 2022 – Forum, March 23, 2022

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MaLMIC is organizing a machine learning session at ImNO 2022 on Wednesday, March 23, 2022. Alison Noble, a research scientist at University of Oxford, will give a keynote presentation followed by oral and pitch presentations focused on imaging machine learning applications.