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Taxonomy: IM/TH- Image Registration Techniques: Machine Learning

MO-IePD-TRACK 4-1	Automatic Liver Tumor Localization Using a Combined Deep Learning and Biomechanical Model (DL-Bio) H Shao1*, X Huang2, M Folkert3, J Wang4, Y Zhang5, (1) The University of Texas Southwestern Medical Center, Dallas, TX, (2) Northwestern memorial hospital, Chicago, IL, (3) The University of Texas Southwestern Medical Center, Dallas, TX, (4) UT Southwestern Medical Center, Dallas, TX, (5) UT Southwestern Medical Ctr at Dallas, Dallas, TX
PO-GePV-M-139	Multimodality Image Registration for Application in Brachytherapy Based On Automated Organ Segmentation K Qing1*, X Feng2,3, S Glaser1, W Watkins1, D Du1, Y Chen1, C Han1, J Liang1, J Liu1, B Liu3, Q Chen3,4, A Liu1, (1) City of Hope National Medical Center, Duarte, CA, (2) University of Virginia, Charlottesville, VA, (3) Carina Medical, Lexington, KY , (4) Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, (5) University of Kentucky, Lexington, KY
PO-GePV-M-152	Deep Learning Markerless Spine Tracking Using Intrafraction Motion Management (IMR) Images: A Feasibility Study for Paraspinal SBRT Motion Management F Li*, W Cai, X He, P Zhang, L Cervino, X Li, T Li, Memorial Sloan Kettering Cancer Center, New York, NY
TH-E-TRACK 4-4	Scale-Adaptive Convolutional Neural Network for Deformable Image Registration of Lung 4DCT Y Sang*, D Ruan, Department of Radiation Oncology and Department of Bioengineering, University of California, Los Angeles, CA
TU-EF-TRACK 4-9	Thoracic 4D Cone-Beam CT Registration Incorporating a Fan-Beam CT-Derived Feasible Motion Descriptor Y Sang*, D Ruan, Department of Radiation Oncology and Department of Bioengineering, University of California, Los Angeles, CA
TU-IePD-TRACK 3-6	Use of Deep Learning Segmentation and Biomechanical Models to Improve Dose Accumulation Accuracy in GI Structures M McCulloch1*, G Cazoulat1, B Rigaud1, B Anderson1, E Kirimli1, S Gryshkevych2, S Svensson2, A Ohrt1, J Ohrt1, N Chopra1, R Mathew1, M Zaid1, D Elganainy1,3, P Balter1, E Koay1, K Brock1, (1) UT M.D. Anderson Cancer Center, Houston, TX, (2) RaySearch Laboratories AB, Stockholm, SE, (3) Dana-Farber Cancer Institute, Boston, MA