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Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy Past Event Page Presenter: Sangwook Kim, PhD Student University of Toronto Abstract: Deep learning-based automated treatment planning cansignificantly…

Applications of Automated Treatment Planning in Adaptive Radiotherapy

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Applications of Automated Treatment Planning in Adaptive Radiotherapy Past Event Page Presenter: Aly Khalifa, PhD Student University of Toronto Abstract: Technological advancements in radiotherapy have significantly enhanced treatment precision and…

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…

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…

Machine learning for prognostic modelling in head and neck cancer using multimodal data

150 150 MaLMIC - Machine Learning in Medical Imaging Consortium

Kazmierski2021-01-21 Open Forum on Machine Learning in Head and Neck Cancer Past Event Page Presenter: Michal Kazmierski Abstract: Michal discussed the results of a machine learning challenge for head and…

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…

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