Search Results - "Loew, M.H."

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  1. 1

    Assessing Classifiers from Two Independent Data Sets Using ROC Analysis: A Nonparametric Approach by Yousef, W.A., Wagner, R.F., Loew, M.H.

    “…This paper considers binary classification. We assess a classifier in terms of the area under the ROC curve (AUC). We estimate three important parameters, the…”
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    Journal Article
  2. 2

    Fully automatic 3D feature-based registration of multi-modality medical images by Hsu, L.-Y, Loew, M.H

    Published in Image and vision computing (2001)
    “…In this paper, we present an automated multi-modality registration algorithm based on hierarchical feature extraction. The approach, which has not been used…”
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    Journal Article
  3. 3

    Design and evaluation of an automatic procedure for detection of large misregistration of medical images by Rodriguez-Carranza, C.E., Loew, M.H.

    Published in IEEE transactions on medical imaging (01-11-2003)
    “…In many cases the combined assessment of three-dimensional anatomical and functional images [single photon emission computed tomography (SPECT), positron…”
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    Journal Article
  4. 4

    Identity dominance: Using fingerprints to link an individual to a larger social structure by Herdegen, D., Loew, M.H.

    “…This is a fingerprint pattern and ridge count analysis for two population groups used to associate an individual to a group through qualitative and…”
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    Conference Proceeding
  5. 5

    Comparison of non-parametric methods for assessing classifier performance in terms of ROC parameters by Yousef, W.A., Wagner, R.F., Loew, M.H.

    “…The most common metric to assess a classifier's performance is the classification error rate, or the probability of misclassification (PMC). Receiver operating…”
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    Conference Proceeding
  6. 6

    Quality Measures for Decompressed Medical Images: Statistics, Observers, and ROCs by Dunling Li, Loew, M.H.

    “…The diagnostic value of a medical image after it has been decompressed is a very practical measure of the image quality and the compression method. A…”
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    Conference Proceeding
  7. 7

    Validation of relative feature importance using a natural data set by Holz, H.J., Loew, M.H.

    “…Feature analysis for classification is based on the discriminately power of features. In our previous research (1997), we presented a method for measuring the…”
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    Conference Proceeding
  8. 8

    Estimating fractal dimension with fractal interpolation function models by Penn, A.I., Loew, M.H.

    Published in IEEE transactions on medical imaging (01-12-1997)
    “…Fractal dimension (FD) is a feature which is widely used to characterize medical images. Previously, researchers have shown that FD separates important classes…”
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    Journal Article
  9. 9

    An objective measure for assembling databases used to train and test mammogram CAD algorithms by Perconti, P., Loew, M.H.

    “…We calculate a measure of lesion subtlety that is derived using both lesion and parenchymal feature salience. Previously, this measure was shown to correlate…”
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    Conference Proceeding Journal Article
  10. 10

    REAL-TIME BLADDER-LAYER RECOGNITION: AN APPROACH TO OPTICAL BIOPSY by Lingley-Papadopoulos, C.A., Loew, M.H., Zara, J.M.

    “…The lining of the bladder is comprised of well defined layers that are clearly visible in optical coherence tomography (OCT) images of healthy bladder tissue…”
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    Conference Proceeding
  11. 11

    The trade-offs between manual and computer-based stereology/classification: application to estimates of volume fraction by Markowitz, Z., Loew, M.H.

    “…Estimation of volume or the ratio of volumes in an image requires both mensuration and classification. The former is achieved through stereology - a set of…”
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    Conference Proceeding
  12. 12

    Quantitative methods in medical imaging by Loew, M.H.

    “…Measurement and comparison of medical images is of growing importance for several reasons: (1) as medical imaging becomes ever more digital, and networks and…”
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    Conference Proceeding
  13. 13

    Objective analysis of ultrasound images by use of a computational observer by Lopez, H., Loew, M.H., Goodenough, D.J.

    Published in IEEE transactions on medical imaging (01-12-1992)
    “…The design, implementation, and testing of a computational observer method for objective evaluation of ultrasound images are presented. The method uses…”
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    Journal Article
  14. 14

    An efficient implementation of the channelized Hotelling observer for task-based assessment of lossy compressed images by Schmanske, B.M., Loew, M.H.

    “…An efficient subband implementation of the channelized Hotelling observer is presented, which can be used to assess the image quality of images compressed with…”
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    Conference Proceeding
  15. 15

    A new approach to reduce the 'blocking effect' of transform coding (image coding) by Zhang, Y.-Q., Pickholtz, R.L., Loew, M.H.

    Published in IEEE transactions on communications (01-02-1993)
    “…A combined-transform coding (CTC) scheme to reduce the blocking effect of conventional block transform coding and hence to improve the subjective performance…”
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    Journal Article
  16. 16

    Image staining and differential diagnosis of ultrasound scans based on the Mahalanobis distance by Momenan, R., Wagner, R.F., Garra, B.S., Loew, M.H., Insana, M.F.

    Published in IEEE transactions on medical imaging (01-03-1994)
    “…The covariance matrices associated with each state of health or disease from a previous study are used as the basis of an image staining display technique for…”
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    Journal Article
  17. 17

    Fractal dimension of low-resolution medical images by Penn, A.I., Loew, M.H.

    “…Fractal dimension (fd) is a feature which is widely used to characterize medical images. Previously, researchers have shown that fd separates important classes…”
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    Conference Proceeding
  18. 18

    Detection of microcalcifications in mammograms using eyetrack data by Loew, M.H., Mia, R.S.

    “…In this preliminary study the authors analyzed eyetrack data that was recorded while radiologists reviewed mammography images. The method of collecting the…”
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    Conference Proceeding
  19. 19

    Non-parametric discriminatory power by Holz, H.J., Loew, M.H.

    “…Discriminatory power is the relative usefulness of a feature for classification. Traditionally feature-selection techniques have defined discriminatory power…”
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    Conference Proceeding
  20. 20

    Technical issues in multimodality medical image registration by Loew, M.H., Rodriguez-Carranza, C.E.

    “…Two one-day workshops were held in 1997 that brought together a group of 38 experts from nine countries to address several aspects of the issues surrounding…”
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    Conference Proceeding