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Items: 1 to 20 of 47

1.

Statistical approaches for modeling radiologists' interpretive performance.

Miglioretti DL, Haneuse SJ, Anderson ML.

Acad Radiol. 2009 Feb;16(2):227-38. doi: 10.1016/j.acra.2008.07.022. Review.

2.

Mammography facility characteristics associated with interpretive accuracy of screening mammography.

Taplin S, Abraham L, Barlow WE, Fenton JJ, Berns EA, Carney PA, Cutter GR, Sickles EA, Carl D, Elmore JG.

J Natl Cancer Inst. 2008 Jun 18;100(12):876-87. doi: 10.1093/jnci/djn172.

3.

Validation and statistical power comparison of methods for analyzing free-response observer performance studies.

Chakraborty DP.

Acad Radiol. 2008 Dec;15(12):1554-66. doi: 10.1016/j.acra.2008.07.018.

5.

Reducing the number of reader interpretations in MRMC studies.

Obuchowski NA.

Acad Radiol. 2009 Feb;16(2):209-17. doi: 10.1016/j.acra.2008.05.014.

PMID:
19124107
6.

Best ways to provide feedback to radiologists on mammography performance.

Aiello Bowles EJ, Geller BM.

AJR Am J Roentgenol. 2009 Jul;193(1):157-64. doi: 10.2214/AJR.08.2051.

7.

Statistical aspects of parallel imaging reconstruction.

Raj A, Kressler B, Singh G, Zabih R, Wang Y.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:377-80.

PMID:
17946826
8.

Sampling-based correlation estimation for distributed source coding under rate and complexity constraints.

Cheung NM, Wang H, Ortega A.

IEEE Trans Image Process. 2008 Nov;17(11):2122-37.

PMID:
18972653
9.

Reader variability: what we can learn from computer-aided detection experiments.

Freedman M, Osicka T.

J Am Coll Radiol. 2006 Jun;3(6):446-55. Review.

PMID:
17412100
11.

Statistical performance analysis of super-resolution.

Robinson D, Milanfar P.

IEEE Trans Image Process. 2006 Jun;15(6):1413-28.

PMID:
16764267
12.

A resampling-based Markovian model for automated colon cancer diagnosis.

Ozdemir E, Sokmensuer C, Gunduz-Demir C.

IEEE Trans Biomed Eng. 2012 Jan;59(1):281-9. doi: 10.1109/TBME.2011.2173934.

PMID:
22049357
13.
14.

A response to: A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope.

Nillesen MM, Lopata RG, Thijssen JM, Kapusta L, de Korte CL.

Ultrasound Med Biol. 2011 Apr;37(4):674; author reply 675-6. doi: 10.1016/j.ultrasmedbio.2010.11.003. No abstract available.

PMID:
21208734
15.

Indirect estimation of signal-dependent noise with nonadaptive heterogeneous samples.

Azzari L, Foi A.

IEEE Trans Image Process. 2014 Aug;23(8):3459-67. doi: 10.1109/TIP.2014.2321504.

PMID:
24808411
16.

Computer-aided detection (CAD) for breast MRI: evaluation of efficacy at 3.0 T.

Meeuwis C, van de Ven SM, Stapper G, Fernandez Gallardo AM, van den Bosch MA, Mali WP, Veldhuis WB.

Eur Radiol. 2010 Mar;20(3):522-8. doi: 10.1007/s00330-009-1573-5.

17.

What's the control in studies measuring the effect of computer-aided detection (CAD) on observer performance?

Obuchowski NA, Meziane M, Dachman AH, Lieber ML, Mazzone PJ.

Acad Radiol. 2010 Jun;17(6):761-7. doi: 10.1016/j.acra.2010.01.018.

PMID:
20457419
18.

Spatial statistics of image features for performance comparison.

Bostanci E, Kanwal N, Clark AF.

IEEE Trans Image Process. 2014 Jan;23(1):153-62. doi: 10.1109/TIP.2013.2286907.

PMID:
24158477
19.

Hybrid detectors for subpixel targets.

Broadwater J, Chellappa R.

IEEE Trans Pattern Anal Mach Intell. 2007 Nov;29(11):1891-903.

PMID:
17848772
20.

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