Slides – Qualia Radiomics

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

Aggressive Lung Adenocarcinoma Subtype Prediction Using FDG-PET/CT Radiomics

2017 AAPM annual meeting http://www.aapm.org/meetings/2017AM/PRAbs.asp?mid=127&aid=37917