Qualia Radiomics

Assessing the Dosimetric Links between Organ-At-Risk Delineation Variability and Treatment Planning Variability

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

Qualia Radiomics

Assessing the Dosimetric Links between Organ-At-Risk Delineation Variability and Treatment Planning Variability

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