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Taxonomy: IM- CT: Machine learning, computer vision
| MO-E115-IePD-F9-1 | Validation of a Commercial Artificial Intelligence Auto-Segmentation System for Head and Neck Treatment Site P Tsai, S Huang*, R Press, A Shim, C Apinorasethkul, C Chen, L Hu, E Jang, H Lin, New York Proton Center, New York, NY |
| PO-GePV-I-61 | Personalized Patient-Adaptive Sparse-View CT Deep Reconstruction B Song*, L Shen, L Xing, Stanford University School of Medicine, Stanford, CA |
| PO-GePV-M-15 | A Clinical-Friendly Deep Interactive Segmentation Algorithm for Volumetric Image T Bai1*, M Lin1, X Liang1, B Wang1,2, M Dohopolski1, B Cai1, D Nguyen1, S Jiang1, (1) The University of Texas Southwestern Medical Ctr, Dallas, TX, (2) Southern Methodist University, Dallas, TX |
| PO-GePV-M-35 | Convolutional Neural Networks for the Automated Segmentation of Malignant Pleural Mesothelioma: Analysis of Performance Based On Probability Map Threshold M Shenouda1*, E Gudmundsson2, F Li1, C Straus1, H Kindler1, A Dudek3, T Stinchcombe4, X Wang4, A Starkey1, S Armato1, (1) The University of Chicago, Chicago, IL, (2) UCL Hospitals NHS Trust, UK, (3) Health Partners Institute, HealthPartners Cancer Care Center, St. Paul, MN, (4) Duke University, Durham, NC |
| PO-GePV-M-142 | Neural-Network Based Rib Removal On Simulated Thoracic Radiography Q Xu1*, D XU1,2, D Ruan1, K Sheng1, (1) UCLA School of Medicine, Los Angeles, CA, (2) UCLA Computer Science, Los Angeles, CA |
| PO-GePV-M-327 | Inpainting Truncated Areas of CT Images Based On Generative Adversarial Networks with Gated Convolution for Radiotherapy X Kai1,2*, X Qianyi2,3, G Liugang1,2, J Sun1,2, C Qian1,2, N Xinye1,2,3, (1) The Affiliated Changzhou NO.2 People's Hospital of Nanjing Medical University, Changzhou, Jiang Su, CN, (2) Jiangsu Province Engineering Research Center of Medical Physics, Changzhou, Jiangsu, CN,(3) Center for Medical Physics, Nanjing Medical University, Changzhou, Jiangsu, CN |
| SU-F-BRB-7 | Radiation Oncology Enterprise-Wide Performance Evaluation of Commercial AI-Based Automated Image Segmentation Software Solutions D Maes1*, E Gates1, P Forouzannezhad1, J Kang1, A Lim1, M Lavilla2, D Melancon1, B Nguyen2, Y Tseng1, E Weg1, J Meyer1, S Bowen1,3, (1) University of Washington, Department of Radiation Oncology, (2) Seattle Cancer Care Alliance, (3) University of Washington, Department of Radiology |
| SU-H400-IePD-F6-4 | Automatic Multi-Organ Segmentation Using a Deep Neural Network for Assessing Dose to Organs at Risk During Breast Radiotherapy M Saha1*, J Jung2, S Lee3, C Lee4, C Lee1, M Mille1, (1) National Cancer Institute, Bethesda, MD (2) East Carolina Univ, Greenville, NC, (3) University of Maryland School of Medicine, Baltimore, MD, (4) University of Michigan, Ann Arbor, MI |
| TH-D-207-6 | Texture Transformer Super-Resolution (TTSR) for Patient CT Images S Zhou1*, L Yu2, M Jin1, (1) University of Texas at Arlington, Arlington, TX, (2) Mayo Clinic, Rochester, MN |
| TU-J430-BReP-F1-5 | Virtual Non Contrast Tomography Synthesis for Hepatocellular Carcinoma Patients Using Multimodality-Guided Synergistic Neural Network J Chen1, W Li2, H Xiao3*, S Lam4, J Chen5, C Liu6, A Cheung7, J Cai8, (1)The Hong Kong Polytechnic University,Hung Hom, ,HK, (2) The Hong Kong Polytechnic University, ,,(3) The Hong Kong Polytechnic University, Hong Kong, 91, CN, (4) Duke Kunshan University, Kunshan, ,CN, (5) ,,,(6) The Hong Kong Polytechnic University, Hong Kong, Hong Kong, (7) ,,,(8) Hong Kong Polytechnic University, Hong Kong, ,CN |