– MR

Sensitivity of convolutional neural networks to common imaging parameters, perturbations and artifacts in MRI

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

lyndon_malmic_2021 Open Forum on Alzheimer’s and Small Vessel Disease Imaging Past Event Page Presenter: Lyndon Boone Abstract: A number of studies have shown that deep learning methods are capable of…

Deep Learning for Automated Segmentation of Left Ventricle Myocardium and Myocardial Scar From 3-D MR Images

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

2021-06-18Zabihollahy Open Forum on Machine Learning in Cardiac Imaging Past Event Page Presenter: Fatemeh Zabihollahy Abstract: Deep learning has demonstrated promise for various cardiac imaging applications. However, the performance is…

Deep learning with uncertainty quantification in MRI-guided radiation therapy

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

2021-05-21Hemsley Open Forum on Reproducibility and Good Practices in Machine Learning Research Past Event Page Presenter: Matt Hemsley Abstract: Deep learning methods are able to match or surpass the performance…

Brain-CODE

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

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…

MRI in Prostate Cancer: Opportunities for AI

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

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…

Radiomics and Machine Learning for Oropharyngeal Cancer

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

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…

Privacy Preferences

When you visit our website, it may store information through your browser from specific services, usually in the form of cookies. Here you can change your Privacy preferences. It is worth noting that blocking some types of cookies may impact your experience on our website and the services we are able to offer.

Click to enable/disable Google Analytics tracking code.
Click to enable/disable Google Fonts.
Click to enable/disable Google Maps.
Click to enable/disable video embeds.
Our website uses cookies, mainly from 3rd party services. Define your Privacy Preferences and/or agree to our use of cookies.