Tag Archives: Image
Identification of Robust Normal Lung CT Texture Features for the Prediction of Radiation-Induced Lung Disease
2016 AAPM annual meeting http://onlinelibrary.wiley.com/doi/10.1118/1.4955803/abstract
Individually Optimized Contrast-Enhanced 4D-CT for Radiotherapy Simulation in Pancreatic Ductal Adenocarcinoma
2016 AAPM annual meeting http://scitation.aip.org/content/aapm/journal/medphys/43/6/10.1118/1.4958261
Image processing in lung cancer screening and treatment
Invited talk in GIST, Nov 2014
Radiomics: Novel Paradigm of Deep Learning for Clinical Decision Support toward Plan B using Liquid Biopsy (Korean)
Radiomics: Novel Paradigm of Deep Learning for Clinical Decision Support toward Plan B using Liquid Biopsy
Quantitative Image Feature Analysis of Multiphase Liver CT for Hepatocellular Carcinoma (HCC) in Radiation Therapy
2015 AAPM annual meeting
Image quality assessment of contrast-enhanced 4D-CT for pancreatic adenocarcinoma in radiotherapy simulation
2015 AAPM annual meeting
Qualia Radiomics 