1 citations · 2 across the 2 of their papers we have counts for
3 papers
q-bio.QM2021★ 1 cited
Improving Reproducibility and Performance of Radiomics in Low Dose CT using Cycle GANs
Junhua Chen, Leonard Wee, Andre Dekker +1
As a means to extract biomarkers from medical imaging, radiomics has attracted increased attention from researchers. However, reproducibility and performance of radiomics in low do…
q-bio.QM2021★ 1 cited
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study
Junhua Chen, Inigo Bermejo, Andre Dekker +1
Radiomics is an active area of research focusing on high throughput feature extraction from medical images with a wide array of applications in clinical practice, such as clinical…
q-bio.QM2021
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation Study
Junhua Chen, Chong Zhang, Alberto Traverso +4
Radiomics is an active area of research in medical image analysis, the low reproducibility of radiomics has limited its applicability to clinical practice. This issue is especially…