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Multi-Disciplinary: Innovative TechnologiesTuesday - 7/27/2021
Multi-Disciplinary Interactive ePoster Discussion12:30 PM - 1:00 PMTRACK 3

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Tuesday
12:30 PM - 1:00 PM
TU-IePD-TRACK 3-1 : Deep Learning-Based Real-Time Volumetric Imaging Using Single CBCT Projections
Y. Lei*, Z. Tian, T. Wang, J. Roper, A. Kesarwala, E. Schreibmann, K. Higgins, J. Bradley, T. Liu, X. Yang
Tuesday
12:30 PM - 1:00 PM
TU-IePD-TRACK 3-2 : Regional Dose-Responses of Liver Functions Derived From Dynamic Gadoxetic Acid-Enhanced (DGAE) MRI of Patients with Hepatocellular Carcinoma (HCC) Treated with SBRT
L. Wei*, M. Aryal, J. Simeth, K. Cuneo, M. Matuszak, J. Evans, R. Ten Haken, I. El Naqa, T. Lawrence, Y. Cao
Tuesday
12:30 PM - 1:00 PM
TU-IePD-TRACK 3-4 : Using Artificial Intelligence to Automatically Track the Response of Brain Metastases to Stereotactic Radiosurgery
D. Hsu*, M. Aristophanous, A. Ballangrud, J. Deasy, H. Veeraraghavan, K. Beal, L. Cervino
Tuesday
12:30 PM - 1:00 PM
TU-IePD-TRACK 3-6 : Liver 4D Blood Flow Model for Dose Calculation to Circulating Blood and Lymphocytes
S. Xing*, J. Pursley, J. Shin, C. Correa, S. Domal, J. Withrow, W. Bolch, C. Grassberger, H. Paganetti
Tuesday
12:30 PM - 1:00 PM
TU-IePD-TRACK 3-7 : Development of a Deep Learning Model That Can Create Multiple Auto-Plans Prioritizing Different Clinical Goals to Facilitate Decision Making in Complex Pancreatic VMAT with Dose Painting
Y. Wang*, J. Wo, T. Hong

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