3 papers
astro-ph.CO2025
Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies
Julieth Katherine Riveros, Paola Saavedra, Hector J. Hortua +2
Next-generation galaxy surveys promise unprecedented precision in testing gravity at cosmological scales. However, realising this potential requires accurately modelling the non-li…
eess.IV2025
Enhancing Diagnostic in 3D COVID-19 Pneumonia CT-scans through Explainable Uncertainty Bayesian Quantification
Juan Manuel Liscano Fierro, Hector J. Hortua
Accurately classifying COVID-19 pneumonia in 3D CT scans remains a significant challenge in the field of medical image analysis. Although deterministic neural networks have shown p…
eess.IV2024
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imaging
Daniela L. Ramos, Hector J. Hortua
Colorectal polyps are generally benign alterations that, if not identified promptly and managed successfully, can progress to cancer and cause affectations on the colon mucosa, kno…