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Poster Session
in
Workshop: Machine Learning for Global Health

Poster Session 2


Abstract:

Each poster presenter is in a separate Zoom Meeting. Please click the link next to a poster to visit.

  • Automatic semantic segmentation for prediction of tuberculosis using lens-free microscopy images [ protected link dropped ]

  • NUCLEI-NET: A Fully Convolutional Neural Network for Medicinal Drugs Discovery [ protected link dropped ]

  • Towards User Friendly Medication Mapping Using Entity-Boosted Twin Modeling [ protected link dropped ]

  • Machine Learning to Assess the Association of H. Pylori Infection and Gastric and Oesophageal Cancer by Detecting Western Blot Protein Bands [ protected link dropped ]

  • Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys [ protected link dropped ]

  • Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning [ protected link dropped ]

  • Bayesian inference of between-population variation in COVID-19 dynamics [ protected link dropped ]

  • Transfer Learning for Pandemic Forecasting [ protected link dropped ]

  • A COVID-19 Spread Prediction System Using Deep Neural Networks with Important Hybrid Features Extracted from Relevant Multi-source Data [ protected link dropped ]

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