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| MO-C930-GePD-F2-1 | Evaluation of Different Auto-Segmentation Methods for Prostate Radiotherapy M Cloutier*, S Hsu , L Goddard , A Basavatia , W Tome , Montefiore Medical Center, Bronx, NY |
| MO-C930-GePD-F2-2 | Evaluation of the Auto-Segmentation Based On Self-Registration and Atlas for Cervical Cancer in Adaptive and Replan Radiotherapy Q Zheng1*, J zhang1 , H Zhang2 , J Wang2 , B Gao1 , Y Wang2 , (1) Beijing Geriatric Hospital, Beijing, Beijing, (2) Chinese PLA General Hospital, Beijing, Beijing |
| MO-C930-GePD-F2-4 | Simultaneous Multi-Organ Segmentation Using Multi-Source Adaptive MR Fusion L Zhang1*, F Yin2 , J Cai3 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) The Hong Kong Polytechnic University, Kowloon, Yau Tsim Mong |
| MO-C930-GePD-F2-5 | Testing and Implementation of Atlas Based Segmentation for Radiotherapy Treatment Planning M Jameson*, J Hellyer , C Choong , G Dinsdale , Ingham Institute & Liverpool Cancer Centre, Sydney, NSW |
| MO-E115-GePD-F5-5 | Using Hybrid Convolutional Neural Network to Segment Targets and Organs at Risk for Nasopharyngeal Carcinoma Y Fu*, Y Luo , J Jiang , H Yu , West China Hospital, Chengdu, Sichuan |
| MO-K-DBRB-5 | Automated Evaluation of Proton Therapy Related Changes in Intracranial Vessel Diameter On Longitudinal Magnetic Resonance Angiography C Hsu1*, A Faught1 , C Hua1 , Y Li1 , Y Han1 , P Klimo2 , L Elijovich2 , M Kaluarachchi1 , V Moskvin1 , P Fakhriddin1 , T Merchant1 , J Lucas1 , (1) St. Jude Children's Research Hospital, Memphis, TN, (2) Le Bonheur Children's Hospital, Memphis, TN |
| MO-K-KDBRC-2 | BEST IN PHYSICS (JOINT IMAGING-THERAPY): Deep Learning Mapping of CT to MRI for Longitudinal Tracking of Lung Tumors for MRI-Guided Radiotherapy J Jiang*, Y Hu , N Tyagi , P Zhang , A Rimner , J Deasy , G Mageras , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY |
| SU-E-KDBRC-6 | A Comparison of Two Deep Learning Architectures to Automatically Define Patient-Specific Beam Apertures C Cardenas1*, B Anderson1 , L Zhang1 , A Jhingran1 , H Simonds2 , J Yang1 , K Brock1 , A Klopp1 , B Beadle3 , L Court1 , K Kisling1 , (1) The University of Texas MD Anderson Cancer Center, Houston, TX (2) Stellenbosch University, Stellenbosch, South Africa (3) Stanford University, Stanford, CA |
| SU-H330-GePD-F4-4 | Knowledge-Based Planning for Whole Breast Irradiation Using Tangential Beams A Fernandez Toledo*, M Huynh-Le , X Trent Ning , J Hoisak , P Hartman , C Yashar , K Moore , L Cervino , UC San Diego, La Jolla, CA |
| SU-H430-GePD-F6-1 | AI-Guided Automated Target Delineation and Planning Optimization by Cloud-Based Treatment Planning System H Zhang1*, R Yang2 , (1) LinkingMed Inc. Beijing, Beijing(2) Peking University Third Hospital, Beijing, Beijing |
| SU-H430-GePD-F9-1 | A Comparison of Interpolation Methods in Head and Neck Radiotherapy Contouring J Spencer1*, K Chen2 , D Boukerroui3 , M Gooding4 , J Fenwick5 , (1) ,,,(2) University of Liverpool, Liverpool, Merseyside, (3) ,,,(4) Mirada Medical Ltd., Oxford, Oxfordshire, (5) Clatterbridge Cancer Centre, Birkenhead, Merseyside |
| SU-I-GPD-E-17 | Consensus Contouring Software with Real-Time Feedback for Radiation Oncology Training J Yang1*, R Fang2 , L Court1 , Z Liao1 , D Gomez1 , J Gunther1 , J Yang1 , (1) UT MD Anderson Cancer Center, Houston, TX, (2) Rice University, Houston, TX |
| SU-I-GPD-I-12 | An Automatic Segmentation Algorithm Based On Clustered Texture Image Q Qiu*, J Duan , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong |
| SU-I-GPD-J-25 | A Deep Learning Based Auto Segmentation for Lung Tumors On CT Images j Cao*, j wang , m Fan , W Hu , fudan university shanghai cancer center, Shanghai, shanghai |
| SU-I-GPD-J-67 | Densely Connected Semantic Segmentation Network for Liver Tumor Segmentation J Kwon*, E Shim , Y Kim , K Choi , Korea Institute of Science and Technology (KIST), Seoul, Seoul |
| SU-J400-CAMPUS-F1-1 | A Fuzzy C-Means Multi-Parametric Segmentation Method for Temporal Stability Area Definition On Shear Wave Elastography Image Sequences I Gatos1 , S Tsantis2 , P Zoumpoulis3 , I Theotokas4 , D Mihailidis5 , J Hazle6 G Kagadis7*, (1) University of Patras, Rion, Ahaia, Greece (2) University of Patras, Rion, Ahaia, Greece (3) Diagnostic Echotomography S.A., Kifissia, Attiki, Greece (4) Diagnostic Echotomography S.A., Kifissia, Attiki, Greece (5) University of Pennsylvania, Philadelphia, PA, (6) UT MD Anderson Cancer Center, Houston, TX, (7) university Patras, Rion - Patras, Greece |
| SU-J400-CAMPUS-F2-3 | Evaluation of a Deep Learning Based Thoracic CT Segmentation Algorithm (DLSeg) Q Chen1*, X Feng2 , K Qing3 , T Hunter1 , (1) University of Kentucky, Lexington, KY, (2) Carina Medical LLC, Lexington, KY, (3) University of Virginia, Charlottesville, VA |
| SU-K-KDBRC-1 | A Deep Learning Approach of the Image Based Acquisition of the Position and the Shape of a Lung Tumor Using X-Ray Color Fluoroscopic Images Y Kajihara1*, T Shiinoki2 , F Fujii1 , (1) Yamaguchi University, Ube, Yamaguchi, (2) Yamaguchi University, Ube,Yamaguchi |
| SU-K-KDBRC-4 | Accurate Hippocampus Segmentation Using Fully Convolutional Networks and Deformable Image Registration Based Data Augmentation H Li1*, J Yang2, Y Xiao1, Y Fan1, (1) University of Pennsylvania, Philadelphia, PA, (2) UT MD Anderson Cancer Center, Houston, TX |
| SU-K-KDBRC-6 | A Recursive Ensemble Neutral Network for Organs Segmentation in MR Images for Brain Cancer Radiotherapy H Chen1,2 , X Zhen2 , L Zhou2 , M Chen1 , W Lu1 , S Jiang1 , X Gu1*, (1) UT Southwestern Medical Center, Dallas, TX,(2) Southern Medical University, Guangzhou, Guangdong |
| TH-AB-KDBRC-4 | Image Texture Based Fast Contour Validation for Online Adaptive Radiation Replanning Y Zhang1*, Y Hao2 , C Kinchen1 , S Lim1 , X Li3 , (1) Medical College of Wisconsin, Milwaukee, WI, (2) Washington University School of Medicine, St. Louis, MO, (3) Froedtert Hospital and the Medical College of Wisconsin, Milwaukee, WI |
| TH-CD-207-1 | Automatic Organ Segmentation On Head and Neck CT Using 3D Deep Convolutional Neural Network X Feng1*, Q Chen2 , (1) Carina Medical LLC, Lexington, KY, (2) University of Kentucky, Lexington, KY |
| TH-CD-KDBRC-3 | Machine Learning-Based Post-Processing Method for Improved Segmentation of Parotid Glands A Iyer*, S Fontenla , R Haq , H Veeraraghavan , J Oh , J Mechalakos , M Hunt , J Deasy , A Apte , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TH-CD-KDBRC-6 | CT-Based Volumetric Segmentation of Male Pelvis Using Deep Learning A Balagopal*, S Kazemifar , D Nguyen , M Lin , R Hannan , A Owrangi , S Jiang , UT Southwestern Medical Center, Dallas, TX |
| TH-CD-KDBRC-8 | Atrous Convolution and Spatial Pyramid Pooling for More Accurate Tumor Segmentation in MR Images K Men*, P Boimel, J Janopaul-Naylor, H Zhong, M Huang, H Geng, C Cheng, Y Fan, J Plastaras, E Ben-Josef, Y Xiao, University of Pennsylvania, Philadelphia, PA |
| TH-CD-KDBRC-9 | A Deep Learning Based Auto Segmentation for H&N Organs On Treatment Planning CT Images S Sun*, j wang , W Hu , Fudan University Shanghai Cancer Center, Shanghai, Shanghai |
| TH-CD-KDBRC-10 | An Iterative Deep-Learning Approach to Segment Sigmoid Colon H Jung*, C Shen , Y Gonzalez , N Qin , X Jia , The University of Texas Southwestern Medical Ctr, Dallas, TX |
| TH-CD-KDBRC-11 | Deformable Organ Contour Transfer with Deep Inverse Shape Encoding (DISE) Networks for Auto-Segmentation in Low Contrast Regions T Liu1*, X Sun1 , F Yin2 , L Ren2 , (1) Duke University, Durham, NC (2) Duke University Medical Center, Durham, NC |
| TH-CD-KDBRC-12 | Segmentation of the Prostate and Organs at Risk in Male Pelvic CT Images Using Deep Learning S Kazemifar*, A Balagopal , D Nguyen , S McGuire , R Hannan , S Jiang , A Owrangi , UT Southwestern Medical Center, Dallas, TX |
| TH-EF-KDBRB1-5 | Cardiac Substructure Segmentation and Dosimetry Using a Novel Hybrid MR/CT Cardiac Atlas E Morris1,2*, A Ghanem1,3, M Pantelic1, E Walker1, C Glide-Hurst1,2 (1) Henry Ford Cancer Institute, Detroit, MI (2) Wayne State University, Detroit, MI (3) Alexandria University, Egypt |
| TU-C1000-GePD-F8-1 | Comparison of Automated PET Segmentation Methods in Lymphoma A Weisman1*, T Bradshaw1, Minnie Kieler1 R Jeraj1,2 (1) University of Wisconsin-Madison, Madison, WI, (2) University of Ljubljana, Ljubljana, Slovenia |
| TU-C930-GePD-F5-1 | Automatic Segmentation of Vertebrae Using Deep Learning and Generative Adversarial Networks E Boehnke*, A Santhanam , K Sheng , UCLA School of Medicine, Los Angeles, CA |
| TU-C930-GePD-F5-3 | Using Knowledge Based Planning to Determine Whether Geometric Variability in Segmentation Correlates with Dosimetric Variability S Berry1*, C Senra2 , R Haq3 , H Veeraraghavan4 , (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) Hofstra Northwell School of Medicine, Hempstead, New York, (3) Memorial Sloan-Kettering Cancer Center, New York, NY, (4) Memorial Sloan Kettering Cancer Center, New York, NY |
| TU-C930-GePD-F5-4 | Automated Segmentation of Head and Neck Cancer Patients Using 3D U-Net N Tong1*, S Gou2 , K Sheng3 , (1) Xidian University, Xi'an, Shaanxi,(2) Xidian University, Xi'an, Shaanxi, (3) UCLA School of Medicine, Los Angeles, CA |
| TU-C930-GePD-F5-5 | Automatic Localization and Segmentation of the Pancreas in Motion Artifact-Free CBCT Reconstructions Using Fully Convolutional Networks P Jordan*, A Wang , J Star-Lack , J Van Heteren , Varian Medical Systems, Palo Alto, CA |
| TU-E115-GePD-F3-2 | Automatic Delineation of Cardiac Substructures: Analyses From the RadComp Randomized Trial in Breast Cancer J Jung1*, B Ky2, W Kenworthy2, W Bosch3, C Lee4, M Mille5, S MacDonald6, O Cahlon7, J Bekelman8, C Lee5, (1) East Carolina University, Greenville, NC, (2) University of Pennsylvania, Philadelphia, PA, (3) Washington University, Saint Louis, MO, (4) University of Michigan, Ann Arbor, MI, (5) National Cancer Institute, Rockville, MD, (6) Massachusetts General Hospital, Boston, MA, (7) Memorial Sloan-Kettering Cancer Center, New York, NY, (8) University of Pennsylvania, Philadelphia, PA |
| TU-J430-CAMPUS-F2-3 | Interactive Refinement of Head and Neck Structures Using Multi-Atlas Based Probabilistic Segmentation Maps R Haq*, S Berry , A Iyer , A Apte , M Hunt , J Deasy , H Veeraraghavan , Memorial Sloan-Kettering Cancer Center, New York, NY |
| TU-K-202-3 | Applying Machine Learning for Automated Liver Segmentation On Radiotherapy Planning CT S Baek1 , Z Sun1*, S Yaddanapudi2 , Y Kim2 , B Gross2 , K Hawkes2 , k McCune2 , T Yuan3 , J Xia2 , (1) University of Iowa, Iowa City, Iowa, (2) University of Iowa Hospitals and Clinics, Iowa City, IA, (3) Affiliated tumor hospital of Guangzhou Medical University, Guangzhou City, Guangdong, China |
| TU-K-202-4 | Automated Segmentation of Malignant Pleural Mesothelioma Tumor On Computed Tomography Scans Using Deep Convolutional Neural Networks E Gudmundsson1*, C Straus2 , A Nowak3 , H Kindler4 , S Armato5 , (1) ,,,(2) University of Chicago, Chicago, Illinois, (3) University of Western Australia, Crawley, WA, (4) University of Chicago, Chicago, Illinois, (5) The University of Chicago, Chicago, IL |
| TU-K-DBRB-6 | Robustness of Lung Segmentation On Ultra-Low-Dose Chest CT Using Convolutional Neural Network X Wang*, C Chou , J Hoffman , N Emaminejad , M Wahi-Anwar , M McNitt-Gray , M Brown , David Geffen School of Medicine at UCLA, Los Angeles, CA |
| WE-AB-202-3 | Automatic Segmentation of Multiple Organs From ViewRay MR Images Using Deep Densely Connected CNN for MRI Guided Adaptive Radiotherapy Y Fu1*, T Mazur2 , S Liu3 , X Chang4 , Y Lu5 , H Li6 , P Parikh7 , D Yang8 , (1) Washington University in Saint Louis, St. Louis, MO, (2) Washington University in Saint Louis, St. Louis, MO, (3) Stanford university Scool of Medicine, Stanford, CA, (4) Washington University in Saint Louis, St. Louis, Missouri, (5) Medical College of Wisconsin, Brookfield, WI, (6) Washington University School of Medicine, St. Louis, MO, (7) Washington university School of Medicine, Saint Louis, MO, (8) Washington University in St Louis, St Louis, MO |
| WE-AB-DBRA-1 | A Deep-Learning Approach Toward Automated Digitization of High Dose-Rate Brachytherapy Applicators H Jung1*, P Klages2 , C Shen3 , Y Gonzalez4 , K Albuquerque5 , X Jia6 , (1) University of Texas Southwestern Medical Center, Dallas, TX, (2) Memorial Sloan-Kettering Cancer Center, New York, NY, (3) University of Texas Southwestern Medical Center, Dallas, TX, (4) University of Texas Southwestern Medical Center, Dallas, TX, (5) University of Texas Southwestren Medical Center, Dallas, Tx, (6) University of Texas Southwestern Medical Center, Dallas, TX |
| WE-C1030-GePD-F8-6 | Impact of CT Model-Based Iterative Reconstruction On Auto-Segmentation of Prostate Cancer Organs at Risk C Miller1,2*, D Mittelstaedt, N Black3, P Klahr3, S P. Nejad-Davarani1, H Schulz3, L Goshen3, E Morris1,2, C Glide-Hurst1,2 (1) Henry Ford Cancer Institute, Detroit, MI, (2) Wayne State University, Detroit, MI (3) Philips Healthcare, Cleveland, OH |
| WE-C930-GePD-F6-6 | Assessment of the Suitability of the Dice Similarity Coefficient as a Dosimetry Metric Using a Treatment Planning Study in Prostate Cancer D Wang*, W Smith , M Phillips , university Washington, Seattle, WA |