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| 1 | Effective intrahepatic CD8+ T-cell immune responses are induced by low but not high numbers of antigen-expressing hepatocytes显示文摘 | Aaron Ochel Marcin Cebula Mathias Riehn Upneet Hillebrand Christoph Lipps Reinhold Schirmbeck Hansjorg Hauser Dagmar Wirth | 2016 | Cellular & Molecular Immunology2016，13，6： | 1 |
| 2 | Metal-organic framework materials with ultrahigh surface areas: is the sky the limit?显示文摘 | Farha Omar K Eryazici Ibrahim Jeong Nak Cheon Hauser Brad G Wilmer Christopher E Sarjeant Amy A Snurr Randall Q Nguyen SonBinh T Ozgox Yazaythn A Hupp Joseph T | 2012 | Journal of the American Chemical Society2012，134，15： | 1 |
| 3 | The learning region: The impact of social capital and weak ties on innovation显示文摘 | Christoph Hauser Gottfried Tapeline Janette wailed | 2007 | Regional studies2007，，2： | 1 |
| 4 | The Learning Region: The Impact of Social Capital and Weak Ties on Innovation显示文摘 | Christoph Hauser Gottfried Tappeiner Janette Walde | 2007 | Regional Studies2007，，1： | 1 |
| 5 | Bin2vec:learning representations of binary executable programs for security tasks显示文摘Tackling binary program analysis problems has traditionally implied manually defining rules and heuristics,a tedious and time consuming task for human analysts.In order to improve automation and scalability,we propose an alternative direction based on distributed representations of binary programs with applicability to a number of downstream tasks.We introduce Bin2vec,a new approach leveraging Graph Convolutional Networks(GCN)along with computational program graphs in order to learn a high dimensional representation of binary executable programs.We demonstrate the versatility of this approach by using our representations to solve two semantically different binary analysis tasks–functional algorithm classification and vulnerability discovery.We compare the proposed approach to our own strong baseline as well as published results,and demonstrate improvement over state-of-the-art methods for both tasks.We evaluated Bin2vec on 49191 binaries for the functional algorithm classification task,and on 30 different CWE-IDs including at least 100 CVE entries each for the vulnerability discovery task.We set a new state-of-the-art result by reducing the classification error by 40%compared to the source-code based inst2vec approach,while working on binary code.For almost every vulnerability class in our dataset,our prediction accuracy is over 80%(and over 90%in multiple classes). | Shushan Arakelyan Sima Arasteh Christophe Hauser Erik Kline Aram Galstyan | 2021 | Cybersecurity2021，4，1： | 1 |
| 6 | ALOX5AP variants are associated with in-stent restenosis after percutaneous coronary intervention显示文摘 | Svati H. Shah Elizabeth R. Hauser David Crosslin Liyong Wang Carol Haynes Jessica Connelly Sarah Nelson Jessica Johnson Shera Gadson Charlotte L. Nelson David Seo Simon Gregory William E. Kraus Christopher B. Granger Pascal Goldschmidt-Clermont L. Kristin | 2008 | Atherosclerosis2008，，： | 1 |
| 7 | Imaging for deep brain stimulation:The zona incerta at 7 Tesla显示文摘AIM:To evaluate different promising magnetic resonance imaging(MRI) methods at 7.0 Tesla(T) for the pre-stereotactic visualization of the zona incerta(ZI).METHODS:Two neuroradiologists qualitatively and quantitatively examined T2-turbo spin-echo(T2-TSE),T1-weighted gradient-echo,as well as FLASH2D-T2Star and susceptibility-weighted imaging(SWI) for the visualization of the ZI at 7.0 T MRI.Delineation and image quality for the ZI were independently examined using a 6-scale grading system.Inter-rater reliability using Cohen's kappa coefficient(κ) were assessed.Contrast-tonoise ratios(CNR),and signal-to-noise ratios(SNR) for the ZI were calculated for all sequences.Differences in delineation,SNR,and CNR between the sequences were statistically assessed using a paired t-test.For the anatomic validation the coronal FLASH2D-T2Star images were co-registered with a stereotactic atlas(Schaltenbrand-Wahren).RESULTS:The rostral part of the ZI(rZI) could easily be identified and was best and reliably visualized in the coronal FLASH2D-T2Star images.The caudal part was not definable in any of the sequences.No major artifacts in the rZI were observed in any of the scans.FLASH2D-T2Star and SWI imaging offered significant higher CNR values for the rZI compared to T2-TSE images(P > 0.05).The co-registration of the coronal FLASH2D-T2Star images with the stereotactic atlas schema(Schaltenbrand-Wahren) confirmed the correct localization of the ZI in all cases.CONCLUSION:FLASH2D-T2Star imaging(particularly coronal view) provides the reliable and currently optimal visualization of the rZI at 7.0 T.These results can facilitate a better and more precise targeting of the caudal part of the ZI than ever before. | Hans U Kerl Lars Gerigk Marc A Brockmann Sonia Huck Mansour AlZghloul Christoph Groden Thomas Hauser Armin M Nagel Ingo S Nlte | 2013 | World Journal of Radiology2013，5，1： | 0 |
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