Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Strobel, Norbert"'
Autor:
Shetty, Karthik, Birkhold, Annette, Jaganathan, Srikrishna, Strobel, Norbert, Egger, Bernhard, Kowarschik, Markus, Maier, Andreas
Objective: A digital twin of a patient can be a valuable tool for enhancing clinical tasks such as workflow automation, patient-specific X-ray dose optimization, markerless tracking, positioning, and navigation assistance in image-guided intervention
Externí odkaz:
http://arxiv.org/abs/2303.04923
Autor:
Shetty, Karthik, Birkhold, Annette, Jaganathan, Srikrishna, Strobel, Norbert, Kowarschik, Markus, Maier, Andreas, Egger, Bernhard
We introduce PLIKS (Pseudo-Linear Inverse Kinematic Solver) for reconstruction of a 3D mesh of the human body from a single 2D image. Current techniques directly regress the shape, pose, and translation of a parametric model from an input image throu
Externí odkaz:
http://arxiv.org/abs/2211.11734
Autor:
Shetty, Karthik, Birkhold, Annette, Strobel, Norbert, Egger, Bernhard, Jaganathan, Srikrishna, Kowarschik, Markus, Maier, Andreas
Many minimally invasive interventional procedures still rely on 2D fluoroscopic imaging. Generating a patient-specific 3D model from these X-ray projection data would allow to improve the procedural workflow, e.g. by providing assistance functions su
Externí odkaz:
http://arxiv.org/abs/2102.02912
Autor:
Roser, Philipp, Birkhold, Annette, Preuhs, Alexander, Syben, Christopher, Felsner, Lina, Hoppe, Elisabeth, Strobel, Norbert, Korwarschik, Markus, Fahrig, Rebecca, Maier, Andreas
Algorithmic X-ray scatter compensation is a desirable technique in flat-panel X-ray imaging and cone-beam computed tomography. State-of-the-art U-net based image translation approaches yielded promising results. As there are no physics constraints ap
Externí odkaz:
http://arxiv.org/abs/2101.09177
Autor:
Roser, Philipp, Zhong, Xia, Birkhold, Annette, Preuhs, Alexander, Syben, Christopher, Hoppe, Elisabeth, Strobel, Norbert, Kowarschik, Markus, Fahrig, Rebecca, Maier, Andreas
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 interventions. Second, forward-scattered radiation reduces contrast in
Externí odkaz:
http://arxiv.org/abs/2007.04018
Autor:
Roser, Philipp, Birkhold, Annette, Preuhs, Alexander, Stimpel, Bernhard, Syben, Christopher, Strobel, Norbert, Kowarschik, Markus, Fahrig, Rebecca, Maier, Andreas
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 achieved if more data sets were available for training. One possibility is
Externí odkaz:
http://arxiv.org/abs/2005.03472
Autor:
Roser, Philipp, Birkhold, Annette, Preuhs, Alexander, Syben, Christopher, Strobel, Norbert, Korwarschik, Markus, Fahrig, Rebecca, Maier, Andreas
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 image translation approaches, most notably the U-Net, have emerged for sc
Externí odkaz:
http://arxiv.org/abs/2005.03470
Autor:
Cardwell, Glenn, Bornman, Janet F., James, Anthony P., Daly, Alison, Strobel, Norbert, Jakobsen, Jette, Black, Lucinda J.
Publikováno v:
In Journal of Food Composition and Analysis January 2023 115
Autor:
Zhong, Xia, Amrehn, Mario, Ravikumar, Nishant, Chen, Shuqing, Strobel, Norbert, Birkhold, Annette, Kowarschik, Markus, Fahrig, Rebecca, Maier, Andreas
We propose a novel point cloud based 3D organ segmentation pipeline utilizing deep Q-learning. In order to preserve shape properties, the learning process is guided using a statistical shape model. The trained agent directly predicts piece-wise linea
Externí odkaz:
http://arxiv.org/abs/1806.05724
Autor:
Dunlop, Eleanor, Shepherd, Carrington C.J., Cunningham, Judy, Strobel, Norbert, Lucas, Robyn M., Black, Lucinda J.
Publikováno v:
In Food Chemistry 1 September 2022 387