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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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Prostate cancer is the second most frequent cancer and the fifth leading cause of cancer death among men. To improve patient outcomes, treatment must be personalized based on accurate prognosis. Nomograms already exist to identify patients at low risk for recurrence based on preoperative clinical information, but these tools do not use patients’ medical images.

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