The provided content discusses functional Delta-Radiomics and its application in predicting overall survival, showcased through a Slideshare presentation. Additionally, there is mention of a study on the classification of cardiac uptake patterns, also presented on Slideshare, using functional Radiomics.
Category Archives: Slides
Artificial Intelligence in Radiation Oncology
Quantitative Cancer Image Analysis
Simulation of Realistic Organ-At-Risk Delineation Variability in Head and Neck Radiation Therapy
Radiomics in Lung Cancer
Interpretable Spiculation Quantification for Lung Cancer Screening
UKC2018 Aug 4, 2018 MSKCC Postdoctoral Research Symposium Sep 28, 2018 Interpretable Spiculation Quantification for Lung Cancer Screening. https://t.co/QucUlu2QVE pic.twitter.com/FaOukTeIPJ — arxiv (@arxiv_org) August 29, 2018 Presented at MICCAI ShapeMI Workshop https://shapemi.github.io/program/
Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
Sep 17, 2018 May 21, 2018
Radiomics and Deep Learning for Lung Cancer Screening
KOCSEA Technical Symposium 2017, Invited Talk, KSEA Travel Grant
Robust Normal Lung CT Texture Features for the Prediction of Radiation-Induced Lung Disease
2017 ASTRO annual meeting http://www.redjournal.org/article/S0360-3016(17)31540-7/fulltext
Radiomics Analysis of Pulmonary Nodules in Low Dose CT for Early Detection of Lung Cancer
2017 AAPM annual meeting http://www.aapm.org/meetings/2017AM/PRAbs.asp?mid=127&aid=36486
Qualia Radiomics 