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Week 8 – Closing ceremony

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McMedHacks

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Activités de formation

Presentation – July 31st 10:00-12:15 EDT

Conditional Generation of Medical Images via Disentangled Adversarial Inference

Speaker: Mohammad Havaei, PhD

A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images

Speaker: Issam Laradji, PhD

TDistributed Deep Learning Techniques for Medical Imaging

Speaker: Ken Chang, PhD

Quantum-enhanced machine learning and how it might be able to impact the future of health care

Speaker: Issam El Naqa, PhD

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Featured project

Radiotherapy treatments currently used in the clinical field are rarely modified. They generally consist of a global therapy of 50 grays, fractionated in five treatments of two grays every week for five weeks.
Thus, it could be worthwhile to develop a numeric tool, based on mathematical models found in the literature, in order to compare different types of treatment without having to test them on real tissues. Several parameters are known to alter the tissue response after irradiation including oxygen

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