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Amira Soliman
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Conditional GAN for better embedding and generation of medical codes
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Data Heterogeneity in Federated Learning
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Explainable AI by Training Introspection
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Feature-wise normalization for 3D medical images
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Federated Learning Aggregation Strategies by Weight Exploration
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Improving Time-series Generative Adversarial Networks (GANs) for Generating Electronic Health Records (EHRs)
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Model Heterogeneity in Federated Learning
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Modeling patient trajectories using different representation learning techniques
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Prioritize informative structures in 3D brain images
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Timeseries representation learning for EHR
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Trajectory prediction algorithms for intention sharing in Micromobility
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Visual Transformers for 3D medical images Classification: use-case neurodegenerative disorders
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