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Machine learning to predict disease progression

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Predicting Disease Progression Past Event Page Presenter: Sun-In Lee Abstract: This talk will describe the use of text and phenotypic data in medical records for predicting patients’…

Segment Anything in Medical Images

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

202312-MedSAM Open Forum on Enforcing Geometry in Machine Learning for Computational Neuroimaging Past Event Page Presenter: Jun Ma Abstract: Medical imaging plays an indispensable role in clinical practice. Accurate and…

Artificial intelligence augmented ultrasound detection of hip dysplasia

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

2023-04-21Jaremko Open Forum on AI and Precision Health Initiatives at the University of Alberta Past Event Page Presenter: Jacob Jaremko Abstract: These talks will present new efforts underway at the…

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…

Design, conduct, and reporting of radiomic analyses: Let’s not reinvent the wheel

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

2021-05-21Moskowitz Open Forum on Reproducibility and Good Practices in Machine Learning Research Past Event Page Presenter: Chaya Moskowitz Abstract: The number of published papers reporting on radiomic analyses has been…

Improving Peproducibility in Machine Learning Research

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

2021-05-21Haibe-Kains Open Forum on Reproducibility and Good Practices in Machine Learning Research Past Event Page Presenter: Benjamin Haibe-Kains Abstract: While biostatistics and machine learning are essential to analyze biomedical data,…

Introduction to the Ontario Health Data Platform

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

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

 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…

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