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A B C D E F G H I J K L M N O P Q R S T U V W X Y Z # | show all

Keywords: Computer Vision
BReP-SNAP-M-15An Adversarial Machine Learning Framework and Biomechanical Model Guided Approach for Generating 3D Lung Tissue Elasticity From Low Dose End-Exhalation CT
A Santhanam1, B Stiehl1*, M Lauria1, I Barjaktarevic1, S Hsieh2, D Low1, (1) University of California, Los Angeles, Los Angeles, CA, (2) Mayo Clinic, Rochester, MN
BReP-SNAP-M-33Cascading Deep Multi-Label Network for CT Liver and Spleen Structure Segmentation: Learning From Imperfect Clinical Data
R Haq*, A Jackson, A Apte, M Montovano, A Wu, J Deasy, M Thor, Memorial Sloan-Kettering Cancer Center, New York, NY
BReP-SNAP-M-61Development of An Inexpensive Patient Setup and Monitoring System Using An Open Source, GPU Computed, Deep Learning Algorithm
D Cho*, D Mah, Procure Proton Therapy Center, Somerset, NJ
PO-GeP-I-9A Machine Learning Based Automatic Lung Lobe Segmentation in Fast Helical Free Breathing CT Scans
L Naumann*, B Stiehl, M Lauria, R Pande, S Suthar, H Sundaram, S Narayanan, S Siva, D Low, A Santhanam, UCLA, Los Angeles, CA
PO-GeP-I-155Non-Circular Source-Detector Trajectories Suitable for Limited Angle and Low-Dose CBCT-Based Interventions
S Hatamikia1*, A Biguri2, G Kronreif3, J Kettenbach4, T Russ5, W Birkfellner6, (1) Austrian Center for Medical Innovation and Technology, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria, AT, (2) Institute of Sound and Vibration Research, University of Southampton, United Kingdom(3) Austrian Center Medical Innovation and Technology, Wiener Neustadt, ,AT, (4)Department of Diagnostic and Interventional Radiology and Nuclear Medicine, Wiener Neustadt, Austria(5)Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University,Germany(6) Medical University Vienna, Vienna, 9, AT
PO-GeP-I-217Towards Automation in Radiation Therapy: Extracting a Breathing Signal From a Patient-Specific Region Using a Depth Sensor
E Mathias*, R O'Brien, ACRF Image X institute, Sydney, NSW, AU.
PO-GeP-M-30A Novel Semi-Supervised Learning Method Using Soft-Label for Lung Segmentation On CT
J Zhou1*, Z Yan2, Y Zhang1, N Yue1, (1) Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, (2) SenseBrain Technology Limited LLC, Princeton, NJ
PO-GeP-M-84Auto-Segmentation On Liver With U-Net And Pixel Deconvolutional U-Net
H Yao*, J Chang, Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lake Success, NY
PO-GeP-M-118Completely Automatic Deformable Image Registration Pipeline Using Automatically Derived Segmentations and Deformation Vector Fields
E McKenzie1*, N Tong1, R Neph1, Y Jia2, D Ruan3, K Sheng3, (1) UCLA, Los Angeles, CA, (2) Shaanxi Key Laboratory of Network Data Intelligent Processing, Xi'an, Shaanxi, CN, (3) UCLA School of Medicine, Los Angeles
PO-GeP-M-347Quantification of Intrafraction Prostate Motion Using Detected Features in Sagittal 2D Cine-MR
B Strbac*, C Brouwer, S Both, J Langendijk, D Yakar, S Al-uwini,
PO-GeP-M-419Validation and Clinical Application of DL-Based Automatic Target and OAR Segmentation Software, DeepViewer
Z Peng1*, Y Chang2, Y Song3, H Wu4, A Wu5, X Pei6, X Xu7, (1) University of Science and Technology of China, Hefei, (2) University of Science and Technology of China, Hefei, (3) University of Science and Technology of China, Hefei, (4) Anhui Wisdom Technology Company Limited, Hefei, (5) The First Affiliated Hospital of University of Science and Technology of China, Hefei, (6) University of Science and Technology of China, Hefei, (7) Rensselaer Polytechnic Institute, Troy, NY
PO-GeP-M-432Weakly-Supervised Deep Learning Based Automatic Image Segmentation Via Deformable Image Registration
W Chi123*, W Lu1, L Ma1, J Wu1, H Chen4,, M Tan23, X Gu1, (1) UT Southwestern Medical Center, Dallas, TX, (2) South China University Of Technology, Guangzhou, China, (3) Guangzhou Laboratory, Guangzhou, China, (4) Sun Yat-sen University, Guangzhou, China
PO-GeP-T-46A Novel Framework for An In-Room Collision Monitoring System During Radiotherapy Treatment Delivery
Z Saleh1,2*, J Patrick1,2, M Schwer1,2, U Langner1,2, R Munbodh1,2, J Brindle1,2, D Wazer1,2, E Klein1,2, (1) Rhode Island Hospital (2) Warren Alpert Medical School of Brown University, Providence, RI
PO-GeP-T-194CNC-Laser Assisted Automated Electron Cutout Fabrication with 3D Print-Based Quality Assurance and Computer Vision
T Chiu1*, D Shrestha1, Z Xiong1, H Wang2, M Lin1, Y Park1, A Godley1, R Reynolds1, (1) UT Southwestern Medical Center, Dallas, TX, (2) Texas Tech University, Lubbock, TX
SU-F-TRACK 2-7Synthesizing of Lung Tumors in Computed Tomography Images
T O'Briain1*, K Moo Yi1, S Chitsazzadeh2, M Bazalova-Carter1, (1) University of Victoria, Victoria, BC, CA, (2) BC Cancer - Victoria, Victoria, BC, CA
TU-EF-TRACK 3-5Automation of Palliative Radiotherapy Treatment Planning Using Independent Models to Prevent Errors From Propagating Through the Planning Process
T Netherton1*, D Rhee2, C Cardenas3, C Chung4, A Klopp5, L Colbert6, C Nguyen7, V Kolluru8, R Douglas9, C Peterson10, R Howell11, P Balter12, L Court13, (1) MD Anderson Cancer Center, Houston, TX, (2) MD Anderson Cancer Center, Houston, TX, (3) University of Texas MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) MD Anderson Cancer Center, Houston, TX, AF, (6) Md Anderson Cancer Center, ,,(7) MD Anderson Cancer Center, Houston, TX, (8) Ut Md Anderson Cancer Center, ,,(9) The University Of Texas Md Anderson Cancer Center, ,,(10) The University of Texas MD Anderson Cancer Center, Houston, TX, (11) The University of Texas MD Anderson Cancer Center, Houston, TX, (12) UT MD Anderson Cancer Center, Houston, TX, (13) UT MD Anderson Cancer Center, Houston, TX
WE-F-TRACK 1-3Accelerating MRI Acquisition Using Cascaded Attention UNet with Prior Information
V Agarwal*, J Balter, Y Cao, Univ Michigan, Ann Arbor, MI