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Taxonomy: IM/TH- MRI in Radiation Therapy: General (most aspects)
| PO-GePV-M-148 | Intentional Deep Overfit Learning (IDOL) : An Application to Deep Learning Based MRI Super-Resolution I Park1,2*, J Chun1, B Choi1,2, S Olberg2,3, T Kim4, B Cai2, A Godley2, A Pompos2, P Medin2, J Kim1, S Jiang2, J Park2, (1) Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea (2) Medical Artificial Intelligence and Automation (MAIA) Laboratory and Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA (3) Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO (4) Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO |
| PO-GePV-P-37 | Retrospective MR Image Review of Stereotactic Radiosurgery for Up to 7 Metastases K Dou1*, M Jacobs2, A Halthore2, C Okoye2, F Lerma1, J Rodger1, C Rosen1, (1) MedStar Health, Mercy Medical Center, Baltimore, MD, (2)Mercy Medical Center, Baltimore, MD |
| SU-D-TRACK 4-1 | A Subject-Specific 5D Cardiac and Respiratory Motion Model Reconstructed From Free-Breathing 2D Cine MRIs X Wu*, y zhang, H An, H Gach, S Goddu, H Li, D Yang, Washington University in St. Louis, St. Louis, MO |