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443 results on '"Michelson G"'

8. 466P Efficacy of BRAF inhibitor FORE8394 in BRAF V600+ patients

Author

Sherman, E.J., primary, Tsai, F., additional, Janku, F., additional, Allen, C., additional, Yaeger, R., additional, Ammakkanavar, N., additional, Butowski, N., additional, Michelson, G., additional, Paz, M., additional, Tussay-Lindenberg, A., additional, Wang, K., additional, Shepherd, S., additional, Dehan, E., additional, de la Fuente, M., additional, and Rodon, J., additional

Published
2022
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10. Basisuntersuchungen

Author

Reiter, W., Rosenthal, J., Klingbeil, A. U., Schmieder, R. E., Karasch, T., Lottermoser, K., Vetter, H., Arlart, I. P., Fischer, M., Gross, M. D., Shapiro, B., Michelson, G., Groh, M. J. M., Rosenthal, J., and Kolloch, R.

Published
2004
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14. Glaukom und Katarakt

Author

Michelson, G., Jünemann, A., Naumann, G. O. H., Pham, D. T., editor, Wollensak, J., editor, Rochels, Rainer, editor, and Hartmann, Christian, editor

Published
1994
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20. Attracting accounting and finance graduate talent – beyond the Big Four

Author

Jackson, D., Richardson, Julia, Michelson, G., Munir, R., Jackson, D., Richardson, Julia, Michelson, G., and Munir, R.

Abstract

This study responds to ongoing challenges with recruiting quality graduate talent in the accounting/finance industry, critical given transforming labour market requirements. Drawing on Person-Organisation Fit (POF) theory, we explore what attracts 475 Accounting/Finance students to graduate roles, their preferences for different organisation types, and influences on career decision-making. Supporting earlier work, we evidence dominating preferences for ‘Big Four’ firms yet discern several appealing features of other organisational types and important intrinsic and extrinsic factors in decision-making. Findings inform stakeholder strategies to support students for sustainable careers in different accounting/finance contexts and improve the recruitment outcomes of all organisation types in the industry.

Published
2021

39. Lokalanästhesie in der Ophthalmochirurgie

Author

Ruprecht, K. W., Michelson, G., Lang, G. K., Ahnefeld, Friedrich Wilhelm, editor, Bergmann, Hans, editor, Burri, Caius, editor, Dick, Wolfgang, editor, Halmágyi, Miklos, editor, Hossli, Georg, editor, Rügheimer, Erich, editor, and Kilian, Jürgen, editor

Published
1988
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41. Special Issue: International Perspectives on Corporate Social Responsibility

Author

Michelson, G., Waring, P., Naudé, P., Michelson, G., Waring, P., and Naudé, P.

Abstract

This conceptual paper seeks to explain the study of corporate social responsibility (CSR) against its recent historical past, in part by examining major factors giving rise to CSR and its diffusion in contemporary corporate practice. In doing so, it highlights some of the principal arguments for and against CSR, as well as identifies some of the tensions and dilemmas facing managers seeking to implement more socially responsible practices in the midst of common pressures to ensure firm financial performance. While many of these challenges are arguably shared across different national settings, there is far less awareness of how these realities are experienced in developing countries. This collection of papers provides some empirical evidence to address this gap.

Published
2016

42. Robust Vessel Segmentation in Fundus Images

Author

Budai, A., Bock, R., Maier, A., Hornegger, J., and Michelson, G.

Subjects
lcsh:Medical physics. Medical radiology. Nuclear medicine, lcsh:Medical technology, Article Subject, lcsh:R855-855.5, lcsh:R895-920, Technische Fakultät, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, ddc:000, Research Article
Abstract

One of the most common modalities to examine the human eye is the eye-fundus photograph. The evaluation of fundus photographs is carried out by medical experts during time-consuming visual inspection. Our aim is to accelerate this process using computer aided diagnosis. As a first step, it is necessary to segment structures in the images for tissue differentiation. As the eye is the only organ, where the vasculature can be imaged in an in vivo and noninterventional way without using expensive scanners, the vessel tree is one of the most interesting and important structures to analyze. The quality and resolution of fundus images are rapidly increasing. Thus, segmentation methods need to be adapted to the new challenges of high resolutions. In this paper, we present a method to reduce calculation time, achieve high accuracy, and increase sensitivity compared to the original Frangi method. This method contains approaches to avoid potential problems like specular reflexes of thick vessels. The proposed method is evaluated using the STARE and DRIVE databases and we propose a new high resolution fundus database to compare it to the state-of-the-art algorithms. The results show an average accuracy above 94% and low computational needs. This outperforms state-of-the-art methods.

Published
2014

50. PP.41.12

Author

Friedrich, S., primary, Harazny, J., additional, Jumar, A., additional, Kistner, I., additional, Michelson, G., additional, Ott, C., additional, and Schmieder, R.E., additional

Published
2015
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