Scholar
Julia E Vogt
Google Scholar ID: UoeV-8kAAAAJ
ETH Zurich
Citations & Impact
Citations
2,455
H-index
28
i10-index
52
Publications
20
Co-authors
46
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Published 'Automated detection of neonatal pulmonary hypertension in echocardiograms with a deep learning model' in Pediatric Research, proposing a novel approach using deep learning for automated PH detection.
- Published 'Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection' in Transactions on Machine Learning Research.
Research Experience
- Leads the Medical Data Science research group; team members attended NeurIPS 2024 and presented their work.
Background
- Research interests lie at the intersection of machine learning and medicine, aiming to improve diagnosis and treatment outcomes for the benefit of patient care and wellbeing. Specific areas include multimodal data integration, structure detection, and developing trustworthy (or transparent) models.
