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

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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…

Chatbots as Mental Healthcare Proxies: Possibilities and Limitations

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Chatbots as Mental Healthcare Proxies: Possibilities and Limitations Past Event Page Presenter: Catherine Stinson, PhD Assistant Professor, Queen’s University Abstract: There is a great need for more affordable, accessible mental…

Healthcare Horizons: AI to Navigate the Evolving Landscape

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Healthcare Horizons: AI to Navigate the Evolving Landscape Past Event Page Presenter: Elham Dolatabadi, PhD Assistant Professor, York University Abstract: As healthcare evolves, data expands, and learning algorithms become increasingly…

Machine learning in radiotherapy applications – Forum, October 25, 2024

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October 25, 2024
3:00 to 4:30 p.m. Eastern

Aly Khalifa and Sanwook Kim presented at the MaLMIC fall forum, hosted by Julia Publicover. The presentations were followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.

Using machine learning to address complex challenges in human health – Forum, September 20, 2024

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September 20, 2024
3:00 to 4:30 p.m. Eastern
Elham Dolatabadi and Catherine Stinson presented at the MaLMIC fall forum, hosted by Amber Simpson. The presentations were followed by questions and answers about the talks, and discussion focused on lessons learned, opportunities to collaborate, and sharing of data.

Enhancing cancer research with quantitative imaging: A deep dive into QIPCM at UHN – Webinar, June 27 2024

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Join us for an engaging webinar on June 27th at 11:30am that showcases the Quantitative Imaging for Personalized Cancer Medicine (QIPCM) program which provides end-to-end testing and analysis support for clinical trials to improve consistency and reliability in clinical trial imaging data.

Upcoming IGT Symposium

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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

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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…

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