Sonka M - Search Results

1

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative.

Kashyap S, Oguz I, Zhang H, Sonka M. Kashyap S, et al. Among authors: sonka m. Med Image Comput Comput Assist Interv. 2016 Oct;9901:344-351. doi: 10.1007/978-3-319-46723-8_40. Epub 2016 Oct 2. Med Image Comput Comput Assist Interv. 2016. PMID: 28626842 Free PMC article.

2

Object localization and border detection criteria design in edge-based image segmentation: automated learning from examples.

Brejl M, Sonka M. Brejl M, et al. Among authors: sonka m. IEEE Trans Med Imaging. 2000 Oct;19(10):973-85. doi: 10.1109/42.887613. IEEE Trans Med Imaging. 2000. PMID: 11131495

3

Highly automated segmentation of arterial and venous trees from three-dimensional magnetic resonance angiography (MRA).

Stefancik RM, Sonka M. Stefancik RM, et al. Among authors: sonka m. Int J Cardiovasc Imaging. 2001 Feb;17(1):37-47. doi: 10.1023/a:1010656618835. Int J Cardiovasc Imaging. 2001. PMID: 11495507

4

A real-time 3-dimensional digital Doppler method for measurement of flow rate and volume through mitral valve in children: a validation study compared with magnetic resonance imaging.

Ge S, Bu L, Zhang H, Schelbert E, Disterhoft M, Li X, Li X, Sahn D, Stolpen A, Sonka M. Ge S, et al. Among authors: sonka m. J Am Soc Echocardiogr. 2005 Jan;18(1):1-7. doi: 10.1016/j.echo.2004.08.021. J Am Soc Echocardiogr. 2005. PMID: 15637481

5

Rapid full volume data acquisition by real-time 3-dimensional echocardiography for assessment of left ventricular indexes in children: a validation study compared with magnetic resonance imaging.

Bu L, Munns S, Zhang H, Disterhoft M, Dixon M, Stolpen A, Sonka M, Scholz TD, Mahoney LT, Ge S. Bu L, et al. Among authors: sonka m. J Am Soc Echocardiogr. 2005 Apr;18(4):299-305. doi: 10.1016/j.echo.2004.11.002. J Am Soc Echocardiogr. 2005. PMID: 15846155

6

Cell segmentation, tracking, and mitosis detection using temporal context.

Yang F, Mackey MA, Ianzini F, Gallardo G, Sonka M. Yang F, et al. Among authors: sonka m. Med Image Comput Comput Assist Interv. 2005;8(Pt 1):302-9. doi: 10.1007/11566465_38. Med Image Comput Comput Assist Interv. 2005. PMID: 16685859

7

Segmentation of the surfaces of the retinal layer from OCT images.

Haeker M, Abràmoff M, Kardon R, Sonka M. Haeker M, et al. Among authors: sonka m. Med Image Comput Comput Assist Interv. 2006;9(Pt 1):800-7. doi: 10.1007/11866565_98. Med Image Comput Comput Assist Interv. 2006. PMID: 17354964

8

Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images.

Haeker M, Abràmoff MD, Wu X, Kardon R, Sonka M. Haeker M, et al. Among authors: sonka m. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):244-51. doi: 10.1007/978-3-540-75757-3_30. Med Image Comput Comput Assist Interv. 2007. PMID: 18051065

9

A new method for spherical object detection and its application to computer aided detection of pulmonary nodules in CT images.

Zhang X, Stockel J, Wolf M, Cathier P, McLennan G, Hoffman EA, Sonka M. Zhang X, et al. Among authors: sonka m. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):842-9. doi: 10.1007/978-3-540-75757-3_102. Med Image Comput Comput Assist Interv. 2007. PMID: 18051137

10

Automated 3-D intraretinal layer segmentation of macular spectral-domain optical coherence tomography images.

Garvin MK, Abràmoff MD, Wu X, Russell SR, Burns TL, Sonka M. Garvin MK, et al. Among authors: sonka m. IEEE Trans Med Imaging. 2009 Sep;28(9):1436-47. doi: 10.1109/TMI.2009.2016958. Epub 2009 Mar 10. IEEE Trans Med Imaging. 2009. PMID: 19278927 Free PMC article.

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