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The presented GDL-FIRE \(^\text {4D}\) framework illustrates feasibility and potential of deep learning of dense vector fields for motion estimation in clinical thoracic 4D CT image data (TRE values of CNN-based DIR were in the same order than for the underlying DIR algorithms, accompanied by a speed-up factor of approximately 60), and thereby . result 4d slot . fortune 4d