7 citations · 11 across the 2 of their papers we have counts for
2 papers
q-bio.QM2019★ 4 cited
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past a few years. Recent studies in radiomics aim to investigat…
q-bio.QM2019★ 7 cited
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas +3
Cox proportional hazard model (CPH) is commonly used in clinical research for survival analysis. In quantitative medical imaging (radiomics) studies, CPH plays an important role in…