137 citations · 694 across the 38 of their papers we have counts for
5 papers · 1 filter
Supervised Machine Learning for Intercomparison of Model Grids of Brown Dwarfs: Application to GJ 570D and the Epsilon Indi B Binary System
Maria Oreshenko, Daniel Kitzmann, Pablo Marquez-Neila +6
Self-consistent model grids of brown dwarfs involve complex physics and chemistry, and are often computed using proprietary computer codes, making it challenging to identify the re…
Interpreting High-Resolution Spectroscopy of Exoplanets Using Cross-Correlations and Supervised Machine Learning
Chloe Fisher, H. Jens Hoeijmakers, Daniel Kitzmann +4
We present a new method for performing atmospheric retrieval on ground-based, high-resolution data of exoplanets. Our method combines cross-correlation functions with a random fore…
Fused Detection of Retinal Biomarkers in OCT Volumes
Thomas Kurmann, Pablo Márquez-Neila, Siqing Yu +3
Optical Coherence Tomography (OCT) is the primary imaging modality for detecting pathological biomarkers associated to retinal diseases such as Age-Related Macular Degeneration. In…
Deep Multi Label Classification in Affine Subspaces
Thomas Kurmann, Pablo Marquez Neila, Sebastian Wolf +1
Multi-label classification (MLC) problems are becoming increasingly popular in the context of medical imaging. This has in part been driven by the fact that acquiring annotations f…
Concept-Centric Visual Turing Tests for Method Validation
Tatiana Fountoukidou, Raphael Sznitman
Recent advances in machine learning for medical imaging have led to impressive increases in model complexity and overall capabilities. However, the ability to discern the precise i…