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Multi-Disciplinary: Segmentation IIIThursday - 7/29/2021
Multi-Disciplinary Interactive ePoster Discussion3:00 PM - 3:30 PMTRACK 3

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Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-2 : Investigation of Clinical Target Volume Segmentation for Whole Breast Irradiation Using 3D Convolutional Neural Network and the Shape Regularization Model Without the Prior Information of the Target-Side Breast
M. Oya*, S. Sugimoto
Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-3 : Attention Guided Network for Vestibular Schwannoma Growth Prediction
K. Wang*, L. Chen, N. George-jones, J. Hunter, J. Wang
Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-4 : Segmentation by Individualized Registration (SIR) for CBCT-Based Adaptive Radiation Therapy
X. Liang*, J. Chun, H. Morgan, T. Bai, D. Nguyen, J. Park, S. Jiang
Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-5 : Intentional Deep Overfit Learning (IDOL): An Application to CT Segmentation-Based Daily Adaptive Radiotherapy
B. Choi*, J. Chun, I. Park, S. Olberg, J. Kim, Y. Park, M. Lin, B. Cai, S. Jiang, J. Park
Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-6 : Deep Learning Neural Network for Automatic Delineation of Para-Aortic Clinical Target Volume
W. Lu*, P. D’cunha, W. Chi, M. Chen, L. Ma, M. Kazemimoghadam, Z. Yang, X. Gu, K. Albuquerque
Thursday
3:00 PM - 3:30 PM
TH-IePD-TRACK 3-7 : Auto-Segmentation of Important Centers of Growth in the Pediatric Skeleton to Consider During Radiation Therapy Based On Deep Learning
W. Qiu*, W. Zhang, X. Ma, Q. Zhou, J. Zhu

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