Leinsinger G - Search Results

1

Performance of topological texture features to classify fibrotic interstitial lung disease patterns.

Huber MB, Nagarajan MB, Leinsinger G, Eibel R, Ray LA, Wismüller A. Huber MB, et al. Among authors: leinsinger g. Med Phys. 2011 Apr;38(4):2035-44. doi: 10.1118/1.3566070. Med Phys. 2011. PMID: 21626936

2

Classification of Small Lesions in Breast MRI: Evaluating The Role of Dynamically Extracted Texture Features Through Feature Selection.

Nagarajan MB, Huber MB, Schlossbauer T, Leinsinger G, Krol A, Wismüller A. Nagarajan MB, et al. Among authors: leinsinger g. J Med Biol Eng. 2013 Jan 1;33(1):10.5405/jmbe.1183. doi: 10.5405/jmbe.1183. J Med Biol Eng. 2013. PMID: 24223533 Free PMC article.

3

Classification of small lesions in dynamic breast MRI: Eliminating the need for precise lesion segmentation through spatio-temporal analysis of contrast enhancement over time.

Nagarajan MB, Huber MB, Schlossbauer T, Leinsinger G, Krol A, Wismüller A. Nagarajan MB, et al. Among authors: leinsinger g. Mach Vis Appl. 2013 Oct 1;24(7):10.1007/s00138-012-0456-y. doi: 10.1007/s00138-012-0456-y. Mach Vis Appl. 2013. PMID: 24244074 Free PMC article.

4

Classification of small lesions on dynamic breast MRI: Integrating dimension reduction and out-of-sample extension into CADx methodology.

Nagarajan MB, Huber MB, Schlossbauer T, Leinsinger G, Krol A, Wismüller A. Nagarajan MB, et al. Among authors: leinsinger g. Artif Intell Med. 2014 Jan;60(1):65-77. doi: 10.1016/j.artmed.2013.11.003. Epub 2013 Nov 23. Artif Intell Med. 2014. PMID: 24355697 Free PMC article.

5

Cluster analysis of signal-intensity time course in dynamic breast MRI: does unsupervised vector quantization help to evaluate small mammographic lesions?

Leinsinger G, Schlossbauer T, Scherr M, Lange O, Reiser M, Wismüller A. Leinsinger G, et al. Eur Radiol. 2006 May;16(5):1138-46. doi: 10.1007/s00330-005-0053-9. Epub 2006 Jan 18. Eur Radiol. 2006. PMID: 16418862

6

Cluster analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series.

Wismüller A, Meyer-Baese A, Lange O, Reiser MF, Leinsinger G. Wismüller A, et al. Among authors: leinsinger g. IEEE Trans Med Imaging. 2006 Jan;25(1):62-73. doi: 10.1109/TMI.2005.861002. IEEE Trans Med Imaging. 2006. PMID: 16398415 Clinical Trial.

7

Classification of small contrast enhancing breast lesions in dynamic magnetic resonance imaging using a combination of morphological criteria and dynamic analysis based on unsupervised vector-quantization.

Schlossbauer T, Leinsinger G, Wismuller A, Lange O, Scherr M, Meyer-Baese A, Reiser M. Schlossbauer T, et al. Among authors: leinsinger g. Invest Radiol. 2008 Jan;43(1):56-64. doi: 10.1097/RLI.0b013e3181559932. Invest Radiol. 2008. PMID: 18097278 Free PMC article.

8

[Volumetric MRI for evaluation of regional pattern and progressin of neocortical degeneration in Alzheimer's disease].

Leinsinger G, Teipel S, Wismüller A, Born C, Meindl T, Flatz W, Schönberg S, Pruessner J, Hampel H, Reiser M. Leinsinger G, et al. Radiologe. 2003 Jul;43(7):537-42. doi: 10.1007/s00117-003-0928-1. Radiologe. 2003. PMID: 12955216 Review. German.

9

Quantitative comparison of automatic and interactive methods for MRI-SPECT image registration of the brain based on 3-dimensional calculation of error.

Pfluger T, Vollmar C, Wismüller A, Dresel S, Berger F, Suntheim P, Leinsinger G, Hahn K. Pfluger T, et al. Among authors: leinsinger g. J Nucl Med. 2000 Nov;41(11):1823-9. J Nucl Med. 2000. PMID: 11079489 Free article.

10

Human vocal tract analysis by in vivo 3D MRI during phonation: a complete system for imaging, quantitative modeling, and speech synthesis.

Wismueller A, Behrends J, Hoole P, Leinsinger GL, Reiser MF, Westesson PL. Wismueller A, et al. Among authors: leinsinger gl. Med Image Comput Comput Assist Interv. 2008;11(Pt 2):306-12. doi: 10.1007/978-3-540-85990-1_37. Med Image Comput Comput Assist Interv. 2008. PMID: 18982619

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