Julia E. Vogt

Interferon-Induced Gene Expression Is a Stronger Predictor of Treatment Response Than IL28B Genotype in Patients With Hepatitis C

Michael T. Dill, François H.T. Duong, Julia E. Vogt et al. · Gastroenterology · 2010 · 249 citations

Cytokine, Hepatology, Autoimmune Disease +10

Interpretable and explainable machine learning: A methods‐centric overview with concrete examples

Ričards Marcinkevičs, Julia E. Vogt · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 2023 · 117 citations · Full text

Artificial Intelligence, Abstract Interpretability, Engineering +20

Gene expression analysis of biopsy samples reveals critical limitations of transcriptome‐based molecular classifications of hepatocellular carcinoma

Zuzanna Makowska, Tujana Boldanova, David Adametz et al. · The Journal of Pathology Clinical Research · 2016 · 88 citations · Full text

Engineering, Pathology, Gene Expression Profiling +22

Using Machine Learning to Predict the Diagnosis, Management and Severity of Pediatric Appendicitis

Ričards Marcinkevičs, Patricia Reis Wolfertstetter, Sven Wellmann et al. · Frontiers in Pediatrics · 2021 · 70 citations · Full text

Interpretability and Explainability: A Machine Learning Zoo Mini-tour

Ričards Marcinkevičs, Julia E. Vogt · arXiv (Cornell University) · 2020 · 67 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16