Zobrazeno 1 - 10
of 14 788
pro vyhledávání: '"A. SCHOENBERG"'
Autor:
Schönberg, Arthur, Rajhans, Supriya, Escoto, Esmerando, Khodakovskiy, Nikita, Hariton, Victor, Farace, Bonaventura, Põder, Kristjan, Raab, Ann-Kathrin, Westerberg, Saga, Merdanov, Mekan, Viotti, Anne-Lise, Arnold, Cord L., Leemans, Wim P., Hartl, Ingmar, Heyl, Christoph M.
Combining high peak and high average power has long been a key challenge of ultrafast laser technology, crucial for applications such as laser-plasma acceleration and strong-field physics. A promising solution lies in post-compressed ytterbium lasers
Externí odkaz:
http://arxiv.org/abs/2409.02542
Autor:
Dar, Salman Ul Hassan, Seyfarth, Marvin, Kahmann, Jannik, Ayx, Isabelle, Papavassiliu, Theano, Schoenberg, Stefan O., Frey, Norbert, Baeßler, Bettina, Foersch, Sebastian, Truhn, Daniel, Kather, Jakob Nikolas, Engelhardt, Sandy
AI models present a wide range of applications in the field of medicine. However, achieving optimal performance requires access to extensive healthcare data, which is often not readily available. Furthermore, the imperative to preserve patient privac
Externí odkaz:
http://arxiv.org/abs/2402.01054
Autor:
Alice Marguerite Conrad, Julia Zimmermann, David Mohr, Matthias F. Froelich, Alexander Hertel, Nils Rathmann, Christoph Boesing, Manfred Thiel, Stefan O. Schoenberg, Joerg Krebs, Thomas Luecke, Patricia R. M. Rocco, Matthias Otto
Publikováno v:
Intensive Care Medicine Experimental, Vol 12, Iss 1, Pp 1-10 (2024)
Abstract Background Quantification of pulmonary edema in patients with acute respiratory distress syndrome (ARDS) by chest computed tomography (CT) scan has not been validated in routine diagnostics due to its complexity and time-consuming nature. Th
Externí odkaz:
https://doaj.org/article/f645d7f055ca4edebc38aeb565cada46
Autor:
Dar, Salman Ul Hassan, Ghanaat, Arman, Kahmann, Jannik, Ayx, Isabelle, Papavassiliu, Theano, Schoenberg, Stefan O., Engelhardt, Sandy
Generative latent diffusion models have been established as state-of-the-art in data generation. One promising application is generation of realistic synthetic medical imaging data for open data sharing without compromising patient privacy. Despite t
Externí odkaz:
http://arxiv.org/abs/2307.01148
Autor:
Jannik Kahmann, Dominik Nörenberg, Theano Papavassiliu, Salman Ul Hassan Dar, Sandy Engelhardt, Stefan O. Schoenberg, Matthias F. Froelich, Isabelle Ayx
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Objectives This study aims to investigate how radiomics analysis can help understand the association between plaque texture, epicardial adipose tissue (EAT), and cardiovascular risk. Working with a Photon-counting CT, which exhibits enhanced
Externí odkaz:
https://doaj.org/article/45e8513a209646ccbfb36bf1eb31905d
Autor:
Nadja Werba, Johannes Ludwig, Christel Weiss, Felix Struebing, Stefan Schoenberg, Maliha Sadick
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundArteriovenous malformations (AVMs) account for
Externí odkaz:
https://doaj.org/article/b5cfcbb4e9b9449fa32d6eb3d7fd1ead
Autor:
Alexander Hertel, Mustafa Kuru, Fabian Tollens, Hishan Tharmaseelan, Dominik Nörenberg, Nils Rathmann, Stefan O. Schoenberg, Matthias F. Froelich
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundThe liver is a frequent location of metastatic disease in various malignant tumor entities. Computed tomography (CT) is the most frequently employed modality for initial diagnosis. However, liver metastases may only be delineated vaguely on
Externí odkaz:
https://doaj.org/article/4423e3cbbdf640be9db60d8b45c1ed8c
Autor:
Börner, Nikolaus1,2 (AUTHOR) markus.schoenberg@gmail.com, Schoenberg, Markus B.1,2,3 (AUTHOR) markus.guba@med.uni-muenchen.de, Pöllmann, Benedikt1 (AUTHOR), Pöschke, Philipp4 (AUTHOR), Böhm, Christian4 (AUTHOR), Koch, Dominik1,2 (AUTHOR), Drefs, Moritz1,2 (AUTHOR), Koliogiannis, Dionysios1,2 (AUTHOR), Andrassy, Joachim1,2 (AUTHOR), Werner, Jens1,2 (AUTHOR), Guba, Markus Otto1,2 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Oct2024, Vol. 13 Issue 20, p6046. 11p.
Autor:
Roberts, Nicholas, Li, Xintong, Huang, Tzu-Heng, Adila, Dyah, Schoenberg, Spencer, Liu, Cheng-Yu, Pick, Lauren, Ma, Haotian, Albarghouthi, Aws, Sala, Frederic
Weak supervision (WS) is a powerful method to build labeled datasets for training supervised models in the face of little-to-no labeled data. It replaces hand-labeling data with aggregating multiple noisy-but-cheap label estimates expressed by labeli
Externí odkaz:
http://arxiv.org/abs/2208.14362
Autor:
Emrullah Birgin, Heiner Nebelung, Schaima Abdelhadi, Johann S. Rink, Matthias F. Froelich, Svetlana Hetjens, Mohammad Rahbari, Patrick Téoule, Erik Rasbach, Christoph Reissfelder, Jürgen Weitz, Stefan O. Schoenberg, Carina Riediger, Verena Plodeck, Nuh N. Rahbari
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundMicrovascular invasion is a major histopathological risk factor of postoperative recurrence in patients with hepatocellular carcinoma. This study aimed to develop and validate a digital biopsy model using imaging features to predict microva
Externí odkaz:
https://doaj.org/article/ff8a3baac1264690aac9013790299f0f