Search Results - "Razlighi, Q. R."

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  1. 1

    Evaluating similarity measures for brain image registration by Razlighi, Q.R., Kehtarnavaz, N., Yousefi, S.

    “…•Image registration is the most fundamental problem in neuroimaging.•Functional imaging usefulness is directly depend on the underlying registration.•Many…”
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    Journal Article
  2. 2

    Choroid Plexus Calcification Correlates with Cortical Microglial Activation in Humans: A Multimodal PET, CT, MRI Study by Butler, T, Wang, X H, Chiang, G C, Li, Y, Zhou, L, Xi, K, Wickramasuriya, N, Tanzi, E, Spector, E, Ozsahin, I, Mao, X, Razlighi, Q R, Fung, E K, Dyke, J P, Maloney, T, Gupta, A, Raj, A, Shungu, D C, Mozley, P D, Rusinek, H, Glodzik, L

    Published in American journal of neuroradiology : AJNR (01-07-2023)
    “…The choroid plexus (CP) within the brain ventricles is well-known to produce cerebrospinal fluid (CSF). Recently, the CP has been recognized as critical in…”
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    Journal Article
  3. 3

    Bilateral Markov mesh random field and its application to image restoration by Yousefi, S., Kehtarnavaz, N., Cao, Y., Razlighi, Q.R.

    “…► A new class of causal Markov random fields (MRFs) to generate symmetric MRFs. ► A computationally tractable and feasible image model. ► An image modeling…”
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    Journal Article
  4. 4

    Computation of Image Spatial Entropy Using Quadrilateral Markov Random Field by Razlighi, Q.R., Kehtarnavaz, N., Nosratinia, A.

    Published in IEEE transactions on image processing (01-12-2009)
    “…Shannon entropy is a powerful tool in image analysis, but its reliable computation from image data faces an inherent dimensionality problem that calls for a…”
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    Journal Article
  5. 5

    Correction of Over-Exposed Images Captured by Cell-Phone Cameras by Razlighi, Q.R., Kehtarnavaz, N.

    “…Due to the limited dynamic range of commonly used cell-phone camera sensors, the entire or part of an auto-exposure (AE) image may appear overexposed. In this…”
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    Conference Proceeding
  6. 6

    Blob-like feature extraction and matching for brain MR images by Razlighi, Q. R., Stern, Y.

    “…The cerebral cortex of the human brain is highly folded. It is useful for neuroscientists and clinical researchers to identify and/or quantify cortical folding…”
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    Conference Proceeding Journal Article
  7. 7

    Causal Markov random field for brain MR image segmentation by Razlighi, Q. R., Orekhov, A., Laine, A., Stern, Y.

    “…We propose a new Bayesian classifier, based on the recently introduced causal Markov random field (MRF) model, Quadrilateral MRF (QMRF). We use a second order…”
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    Conference Proceeding Journal Article