Paul Karanicolas

According to our database, Paul Karanicolas authored at least 6 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

An Automated Radiomics Framework for Postoperative Survival Prediction in Colorectal Liver Metastases using Preoperative MRI.

Muhammad Alberb, Jianan Chen, Hossam El-Rewaidy, Paul Karanicolas, Arun Seth, Yutaka Amemiya, Anne L. Martel, Helen Cheung

CoRR, March, 2026

2020

Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma.

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

Frontiers Artif. Intell., 2020

CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging.

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

BMC Medical Imaging, 2020

2019

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, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

CoRR, 2019

Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning.

Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati

CoRR, 2019

2017

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.

Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A. Haider

BMC Medical Imaging, 2017