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Upcoming IGT Symposium

 880 440 MaLMIC - Machine Learning in Medical Imaging Consortium

The image-guided therapeutics (IGT) Symposium is a scientific conference that brings together scholars from the clinical and research communities who are interested in emerging diagnostic and therapeutic health technologies. The conference is a great opportunity to learn about current research and latest advances within the field of biomedical and diagnostic imaging, artificial intelligence, and image-guided therapeutics.

AI-Driven Multimodal Computational Pathology

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Computational Pathology and Cancer Prediction Past Event Page Presenter: Faisal Mahmood Abstract: This talk will discuss the use of AI in pathology and methods of training digitized…

AI-Based Precision Pathology

 150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Open Forum on Computational Pathology and Cancer Prediction Past Event Page Presenter: Mattias Rantalainen Abstract: This talk will discuss precision medicine and its use in the development of AI in…

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…