Zobrazeno 81 - 90
of 3 118
pro vyhledávání: '"Maier, Andreas"'
Autor:
Lobentanzer, Sebastian, Aloy, Patrick, Baumbach, Jan, Bohar, Balazs, Charoentong, Pornpimol, Danhauser, Katharina, Doğan, Tunca, Dreo, Johann, Dunham, Ian, Fernandez-Torras, Adrià, Gyori, Benjamin M., Hartung, Michael, Hoyt, Charles Tapley, Klein, Christoph, Korcsmaros, Tamas, Maier, Andreas, Mann, Matthias, Ochoa, David, Pareja-Lorente, Elena, Popp, Ferdinand, Preusse, Martin, Probul, Niklas, Schwikowski, Benno, Sen, Bünyamin, Strauss, Maximilian T., Turei, Denes, Ulusoy, Erva, Wodke, Judith Andrea Heidrun, Saez-Rodriguez, Julio
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate harmonisation and interoperability despite this fundamental challenge,
Externí odkaz:
http://arxiv.org/abs/2212.13543
Autor:
Wagner, Fabian, Thies, Mareike, Pfaff, Laura, Maul, Noah, Pechmann, Sabrina, Gu, Mingxuan, Utz, Jonas, Aust, Oliver, Weidner, Daniela, Neag, Georgiana, Uderhardt, Stefan, Choi, Jang-Hwan, Maier, Andreas
Self-supervised image denoising techniques emerged as convenient methods that allow training denoising models without requiring ground-truth noise-free data. Existing methods usually optimize loss metrics that are calculated from multiple noisy reali
Externí odkaz:
http://arxiv.org/abs/2212.04832
Autor:
Thies, Mareike, Wagner, Fabian, Maul, Noah, Folle, Lukas, Meier, Manuela, Rohleder, Maximilian, Schneider, Linda-Sophie, Pfaff, Laura, Gu, Mingxuan, Utz, Jonas, Denzinger, Felix, Manhart, Michael, Maier, Andreas
Incorporating computed tomography (CT) reconstruction operators into differentiable pipelines has proven beneficial in many applications. Such approaches usually focus on the projection data and keep the acquisition geometry fixed. However, precise k
Externí odkaz:
http://arxiv.org/abs/2212.02177
Publikováno v:
J. Imaging 2023, 9(10), 221
Our goal is to reconstruct tomographic images with few measurements and a low signal-to-noise ratio. In clinical imaging, this helps to improve patient comfort and reduce radiation exposure. As quantum computing advances, we propose to use an adiabat
Externí odkaz:
http://arxiv.org/abs/2212.01312
Autor:
Fan, Fuxin, Wang, Yangkong, Ritschl, Ludwig, Biniazan, Ramyar, Beister, Marcel, Kreher, Björn, Huang, Yixing, Kappler, Steffen, Maier, Andreas
The existence of metallic implants in projection images for cone-beam computed tomography (CBCT) introduces undesired artifacts which degrade the quality of reconstructed images. In order to reduce metal artifacts, projection inpainting is an essenti
Externí odkaz:
http://arxiv.org/abs/2211.16219
Autor:
Wilm, Frauke, Fragoso, Marco, Bertram, Christof A., Stathonikos, Nikolas, Öttl, Mathias, Qiu, Jingna, Klopfleisch, Robert, Maier, Andreas, Aubreville, Marc, Breininger, Katharina
Computer-aided systems in histopathology are often challenged by various sources of domain shift that impact the performance of these algorithms considerably. We investigated the potential of using self-supervised pre-training to overcome scanner-ind
Externí odkaz:
http://arxiv.org/abs/2211.16141
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:
Öttl, Mathias, Mönius, Jana, Rübner, Matthias, Geppert, Carol I., Qiu, Jingna, Wilm, Frauke, Hartmann, Arndt, Beckmann, Matthias W., Fasching, Peter A., Maier, Andreas, Erber, Ramona, Breininger, Katharina
Tumor segmentation in histopathology images is often complicated by its composition of different histological subtypes and class imbalance. Oversampling subtypes with low prevalence features is not a satisfactory solution since it eventually leads to
Externí odkaz:
http://arxiv.org/abs/2211.06150
Image annotation is one essential prior step to enable data-driven algorithms. In medical imaging, having large and reliably annotated data sets is crucial to recognize various diseases robustly. However, annotator performance varies immensely, thus
Externí odkaz:
http://arxiv.org/abs/2211.06146
Autor:
Monroy, Luis Carlos Rivera, Rist, Leonhard, Eberhardt, Martin, Ostalecki, Christian, Baur, Andreas, Vera, Julio, Breininger, Katharina, Maier, Andreas
Histopathology imaging is crucial for the diagnosis and treatment of skin diseases. For this reason, computer-assisted approaches have gained popularity and shown promising results in tasks such as segmentation and classification of skin disorders. H
Externí odkaz:
http://arxiv.org/abs/2211.05884