MaLMIC - Machine Learning in Medical Imaging Consortium
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.
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.
On February 19, 2021 the Machine Learning in Medical Imaging Consortium held a forum focused on prostate cancer. Thank you to those who participated in a follow up in-depth meeting on prostate cancer machine learning and data sharing.
Dr. Haider, a radiologist, discussed the prostate cancer unmet clinical need followed by two researchers, Dr. Mousavi and Mr. Orlando, describing their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.
Dr. Lang, a radiation oncologist, discussed the unmet clinical need followed by two researchers, Dr. Mattonen and Mr. Kazmierski, described their machine learning research work in the area. This was followed by discussion focused on opportunities to collaborate and share resources.
The presenters gave short talks highlighting their current research work, their unique approach, datasets they are using, advantages of their strategy, current collaborations and future opportunities.