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Introduction to the Ontario Health Data Platform

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OHDP2021-03-19 Open Forum on Machine Learning in Health Data Integration Platforms Past Event Page Presenter: Amber Simpson Abstract: The Ontario Health Data Platform (OHDP) is a secure, federated high-performance computing…

Brain-CODE

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Brain-CODE2021-03-19 Open Forum on Machine Learning in Health Data Integration Platforms Past Event Page Presenters: Tom Mikkelsen, Kirk Nylen, Brendan Behan Abstract: The Ontario Brain Institute (OBI) provided an overview…

QIPCM – Advanced Imaging Core Lab

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QIPCM2021-03-19 Open Forum on Machine Learning in Health Data Integration Platforms Past Event Page Presenter: Julia Publicover Abstract: The QIPCM imaging core lab was conceived for high-quality, auditable and secure…

Deep learning for automatic prostate segmentation in 3D ultrasound

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Orlando2021-02-19 Open Forum on Machine Learning in Prostate Cancer Past Event Page Presenter: Nathan Orlando Abstract: Nathan discussed the development and validation of a generalizable and efficient deep learning method…

MRI in Prostate Cancer: Opportunities for AI

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OICR-Prostate-ML-Haider Open Forum on Machine Learning in Prostate Cancer Past Event Page Presenter: Masoom Haider Abstract: MRI has established itself as an adjunctive test in detecting occult prostate cancer. New…

Machine learning for prognostic modelling in head and neck cancer using multimodal data

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Kazmierski2021-01-21 Open Forum on Machine Learning in Head and Neck Cancer Past Event Page Presenter: Michal Kazmierski Abstract: Michal discussed the results of a machine learning challenge for head and…

Radiomics and Machine Learning for Oropharyngeal Cancer

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Mattonen2021-01-21 Open Forum on Machine Learning in Head and Neck Cancer Past Event Page Presenter: Sarah Mattonen Abstract: Sarah discussed preliminary work investigating radiomics and machine learning models to predict…

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MaLMIC sponsored machine learning sessions at ImNO 2024 – Symposium Session March 2024

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MaLMIC is pleased to support the ImNO 2024 symposium in Mississauga ON on March 19 and 20, 2024. Here are some of the sessions featuring AI and machine learning:
– Keynote: Anne Martel will talk about AI for medical image analysis: Living with limited data
– Debate: The role of AI in medicine
– Panel: Commercialization of AI-enabled medical imaging technology
Throughout the symposium, there will also be talks, pitches and posters on AI, deep learning and machine learning.
We hope you can join us at ImNO 2024!

Computational pathology and cancer prediction – Forum, January 19, 2024

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This forum focused on computational pathology for outcome prediction in cancer. Mattias Rantalainen was the first speaker talking about his research program and the work of Stratipath predictive models that are being translated into the clinic. Faisal Mahmood, the second speaker, spoke about the work in his lab that uses machine learning, data fusion and medical image analysis to develop streamlined workflows for objective diagnosis, prognosis, and biomarker discovery. The presentations were followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.

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