MaLMIC - Machine Learning in Medical Imaging Consortium
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James White, a cardiologist, talked about the clinical perspective followed by two researchers, Fatemeh Zabihollahy and Fumin Guo, described their machine learning research in the area. This was followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.
On May 21, MaLMIC held an open forum on reproducibility and best practices in machine learning research. Thank you to those that participated in the follow up in-depth meeting on Reproducibility and good practices for machine learning research.
Benjamin Haibe-Kains, Chaya Moskowitz and Matt Hemsley talked about reproducibility and good practices in machine learning research. This was followed by discussion focused on lessons learned, opportunities to collaborate and sharing of resources.
On April 16, MaLMIC held an open forum on machine learning in pathology. Thank you to those that participated in the follow up in-depth meeting on machine learning in pathology.
Dr. David Berman, a pathologist, discussed unmet clinical needs in pathology machine learning followed by two researchers, Dr. Ali Bashasati and Dr. Chetan Srinidhi, described their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.
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INOVAIT is pleased to announce the launch of its flagship educational program in image-guided therapy and artificial intelligence.
On March 19, MaLMIC held an open forum on health data integration platforms. Thank you to those who participated on Wednesday, March 31, 2021 at 4 p.m., EDT. in a follow up in-depth meeting on machine learning and health data integration platforms.
Representatives from Quantitative Imaging for Personalized Cancer Medicine, Brain-CODE and Ontario Health Data Platform presented overviews of their data integration platforms. This was followed by discussion focused on opportunities to collaborate and share resources.