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Results: 1 to 20 of 166

Similar articles for PubMed (Select 21960175)

1.

Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.

Tiwari P, Viswanath S, Kurhanewicz J, Sridhar A, Madabhushi A.

NMR Biomed. 2012 Apr;25(4):607-19. doi: 10.1002/nbm.1777. Epub 2011 Sep 30.

2.

Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.

Tiwari P, Kurhanewicz J, Madabhushi A.

Med Image Anal. 2013 Feb;17(2):219-35. doi: 10.1016/j.media.2012.10.004. Epub 2012 Dec 13.

4.

Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.

Tiwari P, Rosen M, Reed G, Kurhanewicz J, Madabhushi A.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):844-51.

PMID:
20426190
5.

Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.

Viswanath SE, Bloch NB, Chappelow JC, Toth R, Rofsky NM, Genega EM, Lenkinski RE, Madabhushi A.

J Magn Reson Imaging. 2012 Jul;36(1):213-24. doi: 10.1002/jmri.23618. Epub 2012 Feb 15.

6.

Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy.

Tiwari P, Kurhanewicz J, Rosen M, Madabhushi A.

Med Image Comput Comput Assist Interv. 2010;13(Pt 3):666-73.

7.
8.

A qualitative approach to combined magnetic resonance imaging and spectroscopy in the diagnosis of prostate cancer.

Villeirs GM, Oosterlinck W, Vanherreweghe E, De Meerleer GO.

Eur J Radiol. 2010 Feb;73(2):352-6. doi: 10.1016/j.ejrad.2008.10.034. Epub 2008 Dec 11.

PMID:
19084363
9.

A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.

Toth R, Tiwari P, Rosen M, Reed G, Kurhanewicz J, Kalyanpur A, Pungavkar S, Madabhushi A.

Med Image Anal. 2011 Apr;15(2):214-25. doi: 10.1016/j.media.2010.09.002. Epub 2010 Oct 28.

10.

Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI.

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

Proc SPIE Int Soc Opt Eng. 2009 Feb 27;7260:72603I.

11.

Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.

Madabhushi A, Feldman MD, Metaxas DN, Tomaszeweski J, Chute D.

IEEE Trans Med Imaging. 2005 Dec;24(12):1611-25.

PMID:
16350920
12.

Combined use of diffusion-weighted MRI and 1H MR spectroscopy to increase accuracy in prostate cancer detection.

Reinsberg SA, Payne GS, Riches SF, Ashley S, Brewster JM, Morgan VA, deSouza NM.

AJR Am J Roentgenol. 2007 Jan;188(1):91-8.

PMID:
17179350
13.

Prospective diagnostic performance evaluation of single-voxel 1H MRS for typing and grading of brain tumours.

Julià-Sapé M, Coronel I, Majós C, Candiota AP, Serrallonga M, Cos M, Aguilera C, Acebes JJ, Griffiths JR, Arús C.

NMR Biomed. 2012 Apr;25(4):661-73. doi: 10.1002/nbm.1782. Epub 2011 Sep 23.

PMID:
21954036
14.

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.

16.

Combined magnetic resonance spectroscopy and dynamic contrast-enhanced imaging for prostate cancer detection.

Perdonà S, Di Lorenzo G, Autorino R, Buonerba C, De Sio M, Setola SV, Fusco R, Ronza FM, Caraglia M, Ferro M, Petrillo A.

Urol Oncol. 2013 Aug;31(6):761-5. doi: 10.1016/j.urolonc.2011.07.010. Epub 2011 Sep 9.

PMID:
21906966
17.

Detection of prostate cancer by integration of line-scan diffusion, T2-mapping and T2-weighted magnetic resonance imaging; a multichannel statistical classifier.

Chan I, Wells W 3rd, Mulkern RV, Haker S, Zhang J, Zou KH, Maier SE, Tempany CM.

Med Phys. 2003 Sep;30(9):2390-8.

PMID:
14528961
18.

The combination of multi-voxel MR spectroscopy with MR imaging improve the diagnostic accuracy for localization of prostate cancer.

Hasumi M, Suzuki K, Taketomi A, Matsui H, Yamamoto T, Ito K, Kurokawa K, Aoki J, Endo K, Yamanaka H.

Anticancer Res. 2003 Sep-Oct;23(5b):4223-7.

PMID:
14666629
19.

Usefulness of prebiopsy multifunctional and morphologic MRI combined with free-to-total prostate-specific antigen ratio in the detection of prostate cancer.

Vilanova JC, Barceló-Vidal C, Comet J, Boada M, Barceló J, Ferrer J, Albanell J.

AJR Am J Roentgenol. 2011 Jun;196(6):W715-22. doi: 10.2214/AJR.10.5700.

PMID:
21606259
20.

Prostate cancer detection: comparison of T2-weighted imaging, diffusion-weighted imaging, proton magnetic resonance spectroscopic imaging, and the three techniques combined.

Chen M, Dang HD, Wang JY, Zhou C, Li SY, Wang WC, Zhao WF, Yang ZH, Zhong CY, Li GZ.

Acta Radiol. 2008 Jun;49(5):602-10. doi: 10.1080/02841850802004983.

PMID:
18568549
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