activity
20232026
most citedEvaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval

25 citations · 35 across the 9 of their papers we have counts for

collaborators
Showing physics.med-phShow all

1 paper · 1 filter

physics.med-ph2024★ 3 cited

Intensity Normalization Techniques and Their Effect on the Robustness and Predictive Power of Breast MRI Radiomics

Florian Schwarzhans, Geevarghese George, Lorena Escudero Sanchez +4

Radiomics analysis has emerged as a promising approach for extracting quantitative features from medical images to aid in cancer diagnosis and treatment. However, radiomics researc…