6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 6 cited
Comparison of Patch-Based Conditional Generative Adversarial Neural Net Models with Emphasis on Model Robustness for Use in Head and Neck Cases for MR-Only planning
Peter Klages, Ilyes Benslimane, Sadegh Riyahi +5
A total of twenty paired CT and MR images were used in this study to investigate two conditional generative adversarial networks, Pix2Pix, and Cycle GAN, for generating synthetic C…
cs.CV2018★ 1 cited
Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response
Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu +8
Quantification of local metabolic tumor volume (MTV) chan-ges after Chemo-radiotherapy would allow accurate tumor response evaluation. Currently, local MTV changes in esophageal (s…
cs.CV2018
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening
Wookjin Choi, Saad Nadeem, Sadegh Riyahi +3
Spiculations are important predictors of lung cancer malignancy, which are spikes on the surface of the pulmonary nodules. In this study, we proposed an interpretable and parameter…