Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Thoma, Martin"'
Autor:
Walcher, Lia, Kistenmacher, Ann-Kathrin, Sommer, Charline, Böhlen, Sebastian, Ziemann, Christina, Dehmel, Susann, Braun, Armin, Tretbar, Uta Sandy, Klöß, Stephan, Schambach, Axel, Morgan, Michael, Löffler, Dennis, Kämpf, Christoph, Blumert, Conny, Reiche, Kristin, Beckmann, Jana, König, Ulla, Standfest, Bastian, Thoma, Martin, Makert, Gustavo R., Ulbert, Sebastian, Kossatz-Böhlert, Uta, Köhl, Ulrike, Dünkel, Anna, Fricke, Stephan
Background: With increasing clinical use of NK-92 cells and their CAR-modified derivatives in cancer immunotherapy, there is a growing demand for efficient production processes of these “off-the-shelf” therapeutics. In order to ensure safety and
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84299
https://ul.qucosa.de/api/qucosa%3A84299/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84299/attachment/ATT-0/
Autor:
Fertey, Jasmin, Bayer, Lea, Kähl, Sophie, Haji, Rukiya M., Burger-Kentischer, Anke, Thoma, Martin, Standfest, Bastian, Schönfelder, Jessy, Casado, Javier Portillo, Rögner, Frank-Holm, Baums, Christoph Georg, Grunwald, Thomas, Ulbert, Sebastian
Bacterial pathogens cause severe infections worldwide in livestock and in humans, and antibiotic resistance further increases the importance of prophylactic vaccines. Inactivated bacterial vaccines (bacterins) are usually produced via incubation of t
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A84892
https://ul.qucosa.de/api/qucosa%3A84892/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A84892/attachment/ATT-0/
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 13, Iss 2, p Doc07 (2017)
With the formulation of a claim for a national uniform medication plan, the German government has taken an important step towards optimizing the documentation of medication for multimorbid patients. The aim of the research project “Medication Plan
Externí odkaz:
https://doaj.org/article/d55a4596f9e344ceb7426500b064c610
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Autor:
Bodenstedt, Sebastian, Allan, Max, Agustinos, Anthony, Du, Xiaofei, Garcia-Peraza-Herrera, Luis, Kenngott, Hannes, Kurmann, Thomas, Müller-Stich, Beat, Ourselin, Sebastien, Pakhomov, Daniil, Sznitman, Raphael, Teichmann, Marvin, Thoma, Martin, Vercauteren, Tom, Voros, Sandrine, Wagner, Martin, Wochner, Pamela, Maier-Hein, Lena, Stoyanov, Danail, Speidel, Stefanie
Intraoperative segmentation and tracking of minimally invasive instruments is a prerequisite for computer- and robotic-assisted surgery. Since additional hardware like tracking systems or the robot encoders are cumbersome and lack accuracy, surgical
Externí odkaz:
http://arxiv.org/abs/1805.02475
Autor:
Thoma, Martin
This paper describes the WiLI-2018 benchmark dataset for monolingual written natural language identification. WiLI-2018 is a publicly available, free of charge dataset of short text extracts from Wikipedia. It contains 1000 paragraphs of 235 language
Externí odkaz:
http://arxiv.org/abs/1801.07779
Autor:
Thoma, Martin
Convolutional Neural Networks (CNNs) dominate various computer vision tasks since Alex Krizhevsky showed that they can be trained effectively and reduced the top-5 error from 26.2 % to 15.3 % on the ImageNet large scale visual recognition challenge.
Externí odkaz:
http://arxiv.org/abs/1707.09725
Autor:
Thoma, Martin
This paper describes the HASYv2 dataset. HASY is a publicly available, free of charge dataset of single symbols similar to MNIST. It contains 168233 instances of 369 classes. HASY contains two challenges: A classification challenge with 10 pre-define
Externí odkaz:
http://arxiv.org/abs/1701.08380
Akademický článek
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Autor:
Thoma, Martin
This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmentation algorithms and traditional approaches for segmentation such as unsupervised methods, Decision
Externí odkaz:
http://arxiv.org/abs/1602.06541
Autor:
Thoma, Martin
Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple form
Externí odkaz:
http://arxiv.org/abs/1601.03642