- 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 - 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 - 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 - 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
- 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, Yingqui 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 - 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
- Novel Functional Radiomics for Prediction of Cardiac PET Avidity in Lung Cancer Radiotherapy
- 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
Medical Imaging, Quantitaive Image Analysis, Computer Aided Diagnosis, Machine Learning
Qualia Radiomics 