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20172024
most citedLearning with Known Operators reduces Maximum Training Error Bounds

147 citations · 418 across the 25 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 2 cited

Reconstruction of Voxels with Position- and Angle-Dependent Weightings

Lina Felsner, Tobias Würfl, Christopher Syben +4

The reconstruction problem of voxels with individual weightings can be modeled a position- and angle- dependent function in the forward-projection. This changes the system matrix a…

eess.IV2020★ 29 cited

Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems

Yixing Huang, Fuxin Fan, Christopher Syben +3

Due to the lack of standardized 3D cephalometric analytic methodology, 2D cephalograms synthesized from 3D cone-beam computed tomography (CBCT) volumes are widely used for cephalom…

physics.med-ph2020

Simultaneous Estimation of X-ray Back-Scatter and Forward-Scatter using Multi-Task Learning

Philipp Roser, Xia Zhong, Annette Birkhold +7

Scattered radiation is a major concern impacting X-ray image-guided procedures in two ways. First, back-scatter significantly contributes to patient (skin) dose during complicated…

physics.med-ph2020★ 4 cited

Fully-automatic CT data preparation for interventional X-ray skin dose simulation

Philipp Roser, Annette Birkhold, Alexander Preuhs +6

Recently, deep learning (DL) found its way to interventional X-ray skin dose estimation. While its performance was found to be acceptable, even more accurate results could be achie…

physics.med-ph2020★ 1 cited

Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines

Philipp Roser, Annette Birkhold, Alexander Preuhs +5

The idea of replacing hardware by software to compensate for scattered radiation in flat-panel X-ray imaging is well established in the literature. Recently, deep-learningbased ima…