Leveraging family data to design Mendelian Randomization that is provably robust to population stratification.
Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions.
Balloon catheter-based radiofrequency ablation monitoring in porcine esophagus using optical coherence tomography.
Machine Learning Models can Detect Aneurysm Rupture and Identify Clinical Features Associated with Rupture.
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging.
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.
