Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Maximilian Möller"'
Autor:
Maximilian Möller, Vanessa Orth, Viktor Umansky, Svetlana Hetjens, Volker Braun, Christoph Reißfelder, Julia Hardt, Steffen Seyfried
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundImmunotherapeutic approaches, including immune checkpoint inhibitor (ICI) therapy, are increasingly recognized for their potential. Despite notable successes, patient responses to these treatments vary significantly. The absence of reliable
Externí odkaz:
https://doaj.org/article/b29a36b007674add89879709849315b9
Autor:
Jonathan Laiño, Andrea Wangorsch, Frank Blanco, Sonja Wolfheimer, Maren Krause, Adam Flaczyk, Tobias-Maximilian Möller, Mindy Tsai, Stephen Galli, Stefan Vieths, Masako Toda, Stephan Scheurer, Stefan Schülke
Publikováno v:
Journal of Immunology Research, Vol 2017 (2017)
Background. TLR ligands can promote Th1-biased immune responses, mimicking potent stimuli of viruses and bacteria. Aim. To investigate the adjuvant properties of dual TLR2/7 ligands compared to those of the mixture of both single ligands. Methods. Du
Externí odkaz:
https://doaj.org/article/df02e6017e06492ebb6440c9717829f4
Autor:
Tobias Maximilian Möller, Alexandra Goretzki, Frank Blanco-Pérez, Garibald Papp, Martina Anzaghe, Stefan Schülke
Publikováno v:
Archivum Immunologiae et Therapiae Experimentalis. 67:273-293
While acute allergic symptoms can be managed by emergency medication, to date, allergen-specific immunotherapy (SIT) with allergen extracts is the only available curative treatment option. However, the risk of anaphylactic reactions, long treatment d
Autor:
Jan S. Kirschke, Maximilian Möller, Benedikt Wiestler, Matthias Kohl, Florian Kofler, Björn H. Menze, Stefan Braunewell, Marie Piraud
Publikováno v:
Interpretable and Annotation-Efficient Learning for Medical Image Computing ISBN: 9783030611651
iMIMIC/MIL3iD/LABELS@MICCAI
iMIMIC/MIL3iD/LABELS@MICCAI
Training convolutional neural networks with image-based labels leads to black-box image classification results. Saliency maps offer localization cues of class-relevant patterns, without requiring costly pixel-based labels. We show a failure mode for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c3d3dcb1ad568a1d3c7b006ea55ccb
https://doi.org/10.1007/978-3-030-61166-8_7
https://doi.org/10.1007/978-3-030-61166-8_7
Autor:
Adam Flaczyk, Stefan Vieths, Stephan Scheurer, Jonathan Emiliano Laiño, Stephen J. Galli, Andrea Wangorsch, Frank Blanco, Tobias Maximilian Möller, Stefan Schülke, Sonja Wolfheimer, Mindy Tsai, Maren Krause, Masako Toda
Publikováno v:
Journal of Immunology Research, Vol 2017 (2017)
Journal of Immunology Research
Journal of Immunology Research
Background. TLR ligands can promote Th1-biased immune responses, mimicking potent stimuli of viruses and bacteria. Aim. To investigate the adjuvant properties of dual TLR2/7 ligands compared to those of the mixture of both single ligands. Methods. Du
Publikováno v:
On the Move to Meaningful Internet Systems. OTM 2017 Conferences ISBN: 9783319694580
OTM Conferences (2)
OTM Conferences (2)
Link discovery is an active field of research to support data integration in the Web of Data. Due to the huge size and number of available data sources, efficient and effective link discovery is a very challenging task. Common pairwise link discovery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cef1e94be6930d22cea09128ee6ca93
https://doi.org/10.1007/978-3-319-69459-7_25
https://doi.org/10.1007/978-3-319-69459-7_25
Autor:
Till Maximilian Möller
Publikováno v:
Sicherheit & Frieden. 29:7-13
The violence caused by the protracted conflict between a Malay-Muslim insurgency and the Thai state in the country's Deep South has re-escalated in 2004 and is producing alarming numbers of victims ever since. The conflict is highly complex and drive
Publikováno v:
KI - Künstliche Intelligenz. 25:17-24
We present the General Game Playing system Centurio. Centurio is a Java-based player featuring different strategies based on Monte Carlo Tree Search extended by techniques borrowed from Upper Confidence bounds applied to Trees as well as Answer Set P