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Taxonomy: IM/TH- Image Registration Techniques: Machine Learning
|MO-H345-IePD-F5-4||Real-Time Tracking Diaphragm Motion On During-Treatment KV Cone Beam Projection Images Using ResNet50|
J Liang*, Q Liu, E Porter, D Yan, Beaumont Health System, Royal Oak, MI
|PO-GePV-M-190||Deep Learning 2D Rigid Registration with a Confidence Measure: Training Experience and Preliminary Results of Developing a Registration Network That Knows When It Does Not Know|
F Li*, W Cai, X He, J Moran, T Li, X Li, Memorial Sloan-Kettering Cancer Center, Syosset, NY
|TH-E-BRC-3||Longitudinal Unsupervised Deformable Image Registration Network for Adaptive Radiotherapy|
D Lee*, Y Hu, S Alam, J Jiang, L Cervino, P Zhang, Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
|TH-F-BRC-5||MUsculo-Skeleton-Aware Deep Learning-Based Deformable Registration for Head-And-Neck CT with a Relaxed Rigidity Constraint On Bony Structures|
H Liu1,2*, E McKenzie3, Q Xu1,2, D Ruan1,2, K Sheng1,2, (1) UCLA, Los Angeles, CA, (2) UCLA School of Medicine, Los Angeles, CA, (3) Cedars-Sinai Medical Center, Los Angeles, CA
|WE-C930-IePD-F5-1||Real-Time Liver Tumor Localization Via a Single X-Ray Projection Using Graph Neural Network and Deep Learning-Based Biomechanical Modeling (MeshRegNet-Bio)|
H Shao*, T Bai, J Wang, J Chun, J Park, S Jiang, Y Zhang, The University of Texas Southwestern Medical Ctr, Dallas, TX