Search Results for author:
Found 2 papers, 0 papers with code
X-ray Recognition: Patient identification from X-rays using a contrastive objective
Recent research demonstrates that deep learning models are capable of precisely extracting bio-information (e. g. race, gender and age) from patients' Chest X-Rays (CXRs).
Visualizing chest X-ray dataset biases using GANs
Recent work demonstrates that images from various chest X-ray datasets contain visual features that are strongly correlated with protected demographic attributes like race and gender.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
