2 papers
cs.LG2025
Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models
Alina Ermilova, Dmitrii Kornilov, Sofia Samoilova +5
Identifying disease interconnections through manual analysis of large-scale clinical data is labor-intensive, subjective, and prone to expert disagreement. While machine learning (…
eess.IV2025
Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation
Nadezhda Alsahanova, Pavel Bartenev, Maksim Sharaev +3
Background: Accurate lesion segmentation is critical for multiple sclerosis (MS) diagnosis, yet current deep learning approaches face robustness challenges. Aim: This study improve…