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Found 2 papers, 1 papers with code
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images
Deep learning is the state-of-the-art for medical imaging tasks, but requires large, labeled datasets.
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data
High throughput genome sequencing technologies such as RNA-Seq and Microarray have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level.
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