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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

This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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