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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

Activities

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Featured project

Delirium is a condition that, when left unmanaged, is associated with increased mortality and longer hospitalization of patients in intensive care; therefore, its detection should be an integral part of care. It is characterized by confusion, anxiety and reduced alertness. It is estimated that 75% of delirium cases are not detected on admission to hospital. Detecting such an acute condition requires frequent monitoring of participants, which is labor intensive and requires expertise.

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