- AAPM Annual Meeting (Houston, TX • July 23 ‒ 27, 2023)
- Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
Wookjin Choi, Yevgeniy Vinogradskiy
Interactive ePoster Discussions: Sunday, July 23, 2023: 3:00 PM – 3:30 PM, GRBCC, Exhibit Hall | Forum 6
SU-300-IePD-F6-4 Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake - Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients
Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Maria Werner-Wasik, Adam Mueller, and Karen E. Mooney
PO-GePV-D-50 Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients - An MR-Conditional Motor for 1D Water Tank Measurements in an MR-Linac
Karen E. Mooney, Sara A. Belko, Justin Williams, Andrew Gerry, Wookjin Choi, Maryellen Daley, and Robert S. Pugliese
MO-345-IePD-F2-5 An MR-Conditional Motor for 1D Water Tank Measurements in an MR-Linac - Quantitative Assessment of Dosimetric Effect of Using Alternative Spinalcord Delineation in Treatment Planning As Functions of Delineations, Setup Uncertainty, and Planning Techniques Using an Alternative Truth Assessment Method
Hashir Rashad, Abishek Karki, Jason Czak, Victor Gabriel Leandro Alves, Hamidreza Nourzadeh, Wookjin Choi, and Jeffrey V. Siebers
MO-115-IePD-F5-6 Quantitative Assessment of Dosimetric Effect of Using Alternative Spinalcord Delineation in Treatment Planning As Functions of Delineations, Setup Uncertainty and Planning Techniques Using an Alternative Truth Assessment Method
- Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
- ASTRO Annual Meeting (San Diego, CA • October 1 ‒ 4, 2023)
- Novel Functional Radiomics for Prediction of Cardiac PET Avidity in Lung Cancer Radiotherapy
Wookjin Choi, Yingcui Jia, Jennifer Kwak, Adam P. Dicker, Nicole L. Simone, Eugene Storozynsky, Varsha Jain, and Yevgeniy Vinogradskiy
Quick Pitch Oral – QP 17b Phys 8: Outcome Prediction, October 3, 5:15PM-6:15PM
https://pubmed.ncbi.nlm.nih.gov/37784390/ - Novel Deep Learning Segmentation Models for Accurate GTV and OAR Segmentation in MR-guided Adaptive Radiotherapy for Pancreatic Cancer Patients
Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Karen E. Mooney, Maria Werner-Wasik, and Adam Mueller
Poster Viewing Q&A Session Time: Tuesday, October 3, 4:00 PM-5:00 PM
https://pubmed.ncbi.nlm.nih.gov/37785478/ - Deep-learning based auto-segmentation for liver Yttrium-90 selective internal radiation therapy
Jun Li, Wookjin Choi, Pramila Rani Anne
https://pubmed.ncbi.nlm.nih.gov/37786012/
- Novel Functional Radiomics for Prediction of Cardiac PET Avidity in Lung Cancer Radiotherapy
- ABS Annual Meeting (Vancouver, British Columbia, Canada • June 22 – 24, 2023)
- Multi-Center Investigation Of Inter-observer Variability Of A Novel Mobile CBCT Ring For Gynecological Cancer HDR Brachytherapy
F Mourtada, A Ali, W Choi, R Anne, W Pinover, B Erickson, A Klopp, D Petereit, D Gaffney, E Fields, J Chino, C Yashar, M Kamrava, M Kollmeier, R Taleei, S Wan, Y Vinogradskiy
https://www.sciencedirect.com/science/article/pii/S1538472123014964
- Multi-Center Investigation Of Inter-observer Variability Of A Novel Mobile CBCT Ring For Gynecological Cancer HDR Brachytherapy
- INFORMS Annual Meeting (Phoenix, AZ • October 15 ‒ 18, 2023)
- Artificial Intelligence To Reduce Radiation-induced Cardiotoxicity In Lung Cancer Radiotherapy: A Novel Functional Radiomics Using Cardiac FDG-PET/CT
Wookjin Choi, Adam Dicker, Yevgeniy Vinogradskiy
Artificial Intelligence to Reduce Radiation-Induced Cardiotoxicity in Lung Cancer Radiotherapy: A Novel Functional Radiomics Using Cardiac FDG-PET/CT (abstractsonline.com)
- Artificial Intelligence To Reduce Radiation-induced Cardiotoxicity In Lung Cancer Radiotherapy: A Novel Functional Radiomics Using Cardiac FDG-PET/CT
Medical Imaging, Quantitaive Image Analysis, Computer Aided Diagnosis, Machine Learning
Qualia Radiomics 