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Taxonomy: IM/TH- Image Registration: General (Most aspects)
|MO-IePD-TRACK 4-7||Using Neural Networks to Extend Cropped Medical Images for Deformable Registration Among Images with Differing Scan Extents|
E McKenzie1*, N Tong2, D Ruan1, M Cao1, R Chin1, K Sheng1, (1) UCLA, Los Angeles, CA, (2) Xidian University, Xi'an CN
|PO-GePV-M-140||A Study of 2D/3D with 3D/3D Registration Using KV/kV, KV/2.5X/6X|
S Lin1*, D Lovelock2, S Lim2, J Sillanpaa2, D Wang2, C Della-Biancia2, S Berry2, D Shasha1,2, H Kuo1,2, (1) Norwalk Hospital, Norwalk, CT, (2) Memorial Sloan Kettering Cancer Center, New York, NY
|PO-GePV-M-145||A Method to Consider Dose Distribution and Dose Gradient in Evaluating Image Registration for Dose Accumulation|
X Wu*, J Williamson, H Gach, H Li, D Yang, Washington University in St. Louis, St. Louis, MO
|PO-GePV-M-147||Automated Detection of IGRT Shift Errors Due to Mis-Registration|
D Pittock1*, A Kruzer1, D Faught1, A Nelson1, E Paulson2, (1) MIM Software Inc., Cleveland, OH, (2) Medical College of Wisconsin, Milwaukee, WI
|PO-GePV-M-250||Efficient and Stable Evaluation of Image Registration Using Deep Learning|
B Yang*, X Chen, J Zhu, K Men, J Dai, Cancer hospital Chinese academy of medical sciences, Beijing, 11CN,