Kontos D - Search Results

1

Feasibility of risk assessment for breast cancer molecular subtypes.

McCarthy AM, Ehsan S, Hughes KS, Lehman CD, Conant EF, Kontos D, Armstrong K, Chen J. McCarthy AM, et al. Among authors: kontos d. Breast Cancer Res Treat. 2024 Nov;208(1):103-110. doi: 10.1007/s10549-024-07404-9. Epub 2024 Jun 25. Breast Cancer Res Treat. 2024. PMID: 38916820 Free PMC article.

2

Three-Dimensional Whole Breast Segmentation in Sagittal and Axial Breast MRI With Dense Depth Field Modeling and Localized Self-Adaptation for Chest-Wall Line Detection.

Wei D, Weinstein S, Hsieh MK, Pantalone L, Kontos D. Wei D, et al. Among authors: kontos d. IEEE Trans Biomed Eng. 2019 Jun;66(6):1567-1579. doi: 10.1109/TBME.2018.2875955. Epub 2018 Oct 15. IEEE Trans Biomed Eng. 2019. PMID: 30334748 Free PMC article.

3

Applying spatial distribution analysis techniques to classification of 3D medical images.

Pokrajac D, Megalooikonomou V, Lazarevic A, Kontos D, Obradovic Z. Pokrajac D, et al. Among authors: kontos d. Artif Intell Med. 2005 Mar;33(3):261-80. doi: 10.1016/j.artmed.2004.07.001. Artif Intell Med. 2005. PMID: 15811790

4

Precision diagnostics based on machine learning-derived imaging signatures.

Davatzikos C, Sotiras A, Fan Y, Habes M, Erus G, Rathore S, Bakas S, Chitalia R, Gastounioti A, Kontos D. Davatzikos C, et al. Among authors: kontos d. Magn Reson Imaging. 2019 Dec;64:49-61. doi: 10.1016/j.mri.2019.04.012. Epub 2019 May 6. Magn Reson Imaging. 2019. PMID: 31071473 Free PMC article. Review.

5

Analysis of parenchymal texture with digital breast tomosynthesis: comparison with digital mammography and implications for cancer risk assessment.

Kontos D, Ikejimba LC, Bakic PR, Troxel AB, Conant EF, Maidment AD. Kontos D, et al. Radiology. 2011 Oct;261(1):80-91. doi: 10.1148/radiol.11100966. Epub 2011 Jul 19. Radiology. 2011. PMID: 21771961 Free PMC article.

6

Adaptive multi-cluster fuzzy C-means segmentation of breast parenchymal tissue in digital mammography.

Keller B, Nathan D, Wang Y, Zheng Y, Gee J, Conant E, Kontos D. Keller B, et al. Among authors: kontos d. Med Image Comput Comput Assist Interv. 2011;14(Pt 3):562-9. doi: 10.1007/978-3-642-23626-6_69. Med Image Comput Comput Assist Interv. 2011. PMID: 22003744 Free PMC article.

7

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation.

Keller BM, Nathan DL, Wang Y, Zheng Y, Gee JC, Conant EF, Kontos D. Keller BM, et al. Among authors: kontos d. Med Phys. 2012 Aug;39(8):4903-17. doi: 10.1118/1.4736530. Med Phys. 2012. PMID: 22894417 Free PMC article.

8

Reader variability in breast density estimation from full-field digital mammograms: the effect of image postprocessing on relative and absolute measures.

Keller BM, Nathan DL, Gavenonis SC, Chen J, Conant EF, Kontos D. Keller BM, et al. Among authors: kontos d. Acad Radiol. 2013 May;20(5):560-8. doi: 10.1016/j.acra.2013.01.003. Epub 2013 Mar 5. Acad Radiol. 2013. PMID: 23465381 Free PMC article.

9

Automated chest wall line detection for whole-breast segmentation in sagittal breast MR images.

Wu S, Weinstein SP, Conant EF, Schnall MD, Kontos D. Wu S, et al. Among authors: kontos d. Med Phys. 2013 Apr;40(4):042301. doi: 10.1118/1.4793255. Med Phys. 2013. PMID: 23556914 Free PMC article.

10

Mammographic parenchymal patterns as an imaging marker of endogenous hormonal exposure: a preliminary study in a high-risk population.

Daye D, Keller B, Conant EF, Chen J, Schnall MD, Maidment AD, Kontos D. Daye D, et al. Among authors: kontos d. Acad Radiol. 2013 May;20(5):635-46. doi: 10.1016/j.acra.2012.12.016. Acad Radiol. 2013. PMID: 23570938 Free PMC article.

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