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Items: 1 to 20 of 279

1.

Comparative analysis of nonlinear dimensionality reduction techniques for breast MRI segmentation.

Akhbardeh A, Jacobs MA.

Med Phys. 2012 Apr;39(4):2275-89. doi: 10.1118/1.3682173.

2.

Image manifold revealing for breast lesion segmentation in DCE-MRI.

Hu L, Cheng Z, Wang M, Song Z.

Biomed Mater Eng. 2015;26 Suppl 1:S1353-60. doi: 10.3233/BME-151433.

PMID:
26405896
3.

Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE.

Jamieson AR, Giger ML, Drukker K, Li H, Yuan Y, Bhooshan N.

Med Phys. 2010 Jan;37(1):339-51.

4.
5.

Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions.

Bhooshan N, Giger M, Lan L, Li H, Marquez A, Shimauchi A, Newstead GM.

Magn Reson Med. 2011 Aug;66(2):555-64. doi: 10.1002/mrm.22800. Epub 2011 Apr 26.

6.

A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.

Viswanath S, Bloch BN, Genega E, Rofsky N, Lenkinski R, Chappelow J, Toth R, Madabhushi A.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):662-9.

7.

Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.

Cui Y, Tan Y, Zhao B, Liberman L, Parbhu R, Kaplan J, Theodoulou M, Hudis C, Schwartz LH.

Med Phys. 2009 Oct;36(10):4359-69.

8.

Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.

Lee SH, Kim JH, Cho N, Park JS, Yang Z, Jung YS, Moon WK.

Med Phys. 2010 Aug;37(8):3940-56.

PMID:
20879557
9.

Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.

Chen W, Giger ML, Bick U, Newstead GM.

Med Phys. 2006 Aug;33(8):2878-87.

PMID:
16964864
10.

PCA-based groupwise image registration for quantitative MRI.

Huizinga W, Poot DH, Guyader JM, Klaassen R, Coolen BF, van Kranenburg M, van Geuns RJ, Uitterdijk A, Polfliet M, Vandemeulebroucke J, Leemans A, Niessen WJ, Klein S.

Med Image Anal. 2016 Apr;29:65-78. doi: 10.1016/j.media.2015.12.004. Epub 2015 Dec 19.

PMID:
26802910
11.

Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

Kim M, Wu G, Shen D.

Med Phys. 2012 Jan;39(1):353-66. doi: 10.1118/1.3665705.

12.

Computer-aided diagnosis of breast DCE-MRI using pharmacokinetic model and 3-D morphology analysis.

Wang TC, Huang YH, Huang CS, Chen JH, Huang GY, Chang YC, Chang RF.

Magn Reson Imaging. 2014 Apr;32(3):197-205. doi: 10.1016/j.mri.2013.12.002. Epub 2013 Dec 17.

PMID:
24439361
13.

Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.

14.

Fully automatic lesion segmentation in breast MRI using mean-shift and graph-cuts on a region adjacency graph.

McClymont D, Mehnert A, Trakic A, Kennedy D, Crozier S.

J Magn Reson Imaging. 2014 Apr;39(4):795-804.

PMID:
24783238
15.

Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.

Yuan Y, Giger ML, Li H, Bhooshan N, Sennett CA.

Acad Radiol. 2010 Sep;17(9):1158-67. doi: 10.1016/j.acra.2010.04.015.

16.

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

Wu S, Weinstein SP, Conant EF, Schnall MD, Kontos D.

Med Phys. 2013 Apr;40(4):042301. doi: 10.1118/1.4793255.

17.

A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Haq NF, Kozlowski P, Jones EC, Chang SD, Goldenberg SL, Moradi M.

Comput Med Imaging Graph. 2015 Apr;41:37-45. doi: 10.1016/j.compmedimag.2014.06.017. Epub 2014 Jul 5.

18.

A computerized global MR image feature analysis scheme to assist diagnosis of breast cancer: a preliminary assessment.

Yang Q, Li L, Zhang J, Shao G, Zheng B.

Eur J Radiol. 2014 Jul;83(7):1086-1091. doi: 10.1016/j.ejrad.2014.03.014. Epub 2014 Mar 22.

19.

Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.

Ginsburg SB, Viswanath SE, Bloch BN, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A.

J Magn Reson Imaging. 2015 May;41(5):1383-93. doi: 10.1002/jmri.24676. Epub 2014 Jun 18.

PMID:
24943647
20.

An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data.

Twellmann T, Lichte O, Nattkemper TW.

IEEE Trans Med Imaging. 2005 Oct;24(10):1256-66.

PMID:
16229413

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