Search Results - "Thacker, Neil A"

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  1. 1

    Habitat Imaging of Tumors Enables High Confidence Sub-Regional Assessment of Response to Therapy by Tar, Paul David, Thacker, Neil A, Babur, Muhammad, Lipowska-Bhalla, Grazyna, Cheung, Susan, Little, Ross A, Williams, Kaye J, O'Connor, James P B

    Published in Cancers (26-04-2022)
    “…Imaging biomarkers are used in therapy development to identify and quantify therapeutic response. In oncology, use of MRI, PET and other imaging methods can be…”
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  2. 2

    The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm by Ragheb, Hossein, Thacker, Neil A, Guyader, Jean-Marie, Klein, Stefan, deSouza, Nandita M, Jackson, Alan

    Published in PloS one (23-07-2015)
    “…This study describes post-processing methodologies to reduce the effects of physiological motion in measurements of apparent diffusion coefficient (ADC) in the…”
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  3. 3

    TINA manual landmarking tool: software for the precise digitization of 3D landmarks by Schunke, Anja C, Bromiley, Paul A, Tautz, Diethard, Thacker, Neil A

    Published in Frontiers in zoology (05-04-2012)
    “…BACKGROUND: Interest in the placing of landmarks and subsequent morphometric analyses of shape for 3D data has increased with the increasing accessibility of…”
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  4. 4

    Quantifying heterogeneity in human tumours using MRI and PET by Asselin, Marie-Claude, O’Connor, James P.B, Boellaard, Ronald, Thacker, Neil A, Jackson, Alan

    Published in European journal of cancer (1990) (01-03-2012)
    “…Abstract Most tumours, even those of the same histological type and grade, demonstrate considerable biological heterogeneity. Variations in genomic subtype,…”
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  5. 5

    Multicomponent MR Image Denoising by Manjón, José V., Thacker, Neil A., Lull, Juan J., Garcia-Martí, Gracian, Martí-Bonmatí, Luís, Robles, Montserrat

    “…Magnetic Resonance images are normally corrupted by random noise from the measurement process complicating the automatic feature extraction and analysis of…”
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  6. 6

    Considering tumour volume for motion corrected DWI of colorectal liver metastases increases sensitivity of ADC to detect treatment-induced changes by Pathak, Ryan, Tian, Jingduo, Thacker, Neil A., Morris, David M., Ragheb, Hossein, Saunders, Charles, Saunders, Mark, Jackson, Alan

    Published in Scientific reports (07-03-2019)
    “…ADC is a potential post treatment imaging biomarker in colorectal liver metastasis however measurements are affected by respiratory motion. This is compounded…”
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  7. 7

    A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases by Pathak, Ryan, Ragheb, Hossein, Thacker, Neil A., Morris, David M., Amiri, Houshang, Kuijer, Joost, deSouza, Nandita M., Heerschap, Arend, Jackson, Alan

    Published in Scientific reports (26-10-2017)
    “…Apparent Diffusion Coefficient (ADC) is a potential quantitative imaging biomarker for tumour cell density and is widely used to detect early treatment changes…”
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  8. 8

    Dementing disorders: volumetric measurement of cerebrospinal fluid to distinguish normal from pathologic findings -- feasibility study by Thacker, Neil A, Varma, Anoop R, Bathgate, Deborah, Stivaros, Stavros, Snowden, Julie S, Neary, David, Jackson, Alan

    Published in Radiology (01-07-2002)
    “…The authors describe a magnetic resonance (MR) imaging technique to quantify the severity and distribution of cerebral atrophy by using automated volumetric…”
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  9. 9

    Semi-automatic landmark point annotation for geometric morphometrics by Bromiley, Paul A, Schunke, Anja C, Ragheb, Hossein, Thacker, Neil A, Tautz, Diethard

    Published in Frontiers in zoology (27-08-2014)
    “…BACKGROUND: In previous work, the authors described a software package for the digitisation of 3D landmarks for use in geometric morphometrics. In this paper,…”
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  10. 10

    Performance characterization in computer vision: A guide to best practices by Thacker, Neil A., Clark, Adrian F., Barron, John L., Ross Beveridge, J., Courtney, Patrick, Crum, William R., Ramesh, Visvanathan, Clark, Christine

    Published in Computer vision and image understanding (01-03-2008)
    “…It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A…”
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  11. 11

    When are Simple LS Estimators Enough? An Empirical Study of LS, TLS, and GTLS by Nayak, Arvind, Trucco, Emanuele, Thacker, Neil A

    Published in International journal of computer vision (01-06-2006)
    “…A variety of least-squares estimators of significantly different complexity and generality are available to solve over-constrained linear systems. The most…”
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  12. 12

    Quantitative shape analysis with weighted covariance estimates for increased statistical efficiency by Ragheb, Hossein, Thacker, Neil A, Bromiley, Paul A, Tautz, Diethard, Schunke, Anja C

    Published in Frontiers in zoology (02-04-2013)
    “…BACKGROUND: The introduction and statistical formalisation of landmark-based methods for analysing biological shape has made a major impact on comparative…”
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  13. 13

    Speechreading using Probabilistic Models by Luettin, Juergen, Thacker, Neil A.

    Published in Computer vision and image understanding (01-02-1997)
    “…We describe a robust method for locating and tracking lips in gray-level image sequences. Our approach learns patterns of shape variability from a training set…”
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  14. 14

    Using Bayesian Tissue Classification to Improve the Accuracy of Vestibular Schwannoma Volume and Growth Measurement by Vokurka, Elizabeth A, Herwadkar, Amit, Thacker, Neil A, Ramsden, Richard T, Jackson, Alan

    Published in American journal of neuroradiology : AJNR (01-03-2002)
    “…True 3D measurements of tumor volume are time-consuming and subject to errors that are particularly pronounced in cases of small tumors. These problems…”
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  15. 15

    Supervised learning extensions to the CLAM network by THACKER, N. A, ABRAHAM, I, COURTNEY, P

    Published in Neural networks (01-03-1997)
    “…The contextual layered associative memory (CLAM) has been developed as a self-generating structure which implements a probabilistic encoding scheme. The…”
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  16. 16

    Robust quantification of short echo time 1H magnetic resonance spectra using the Padé approximant by Williamson, David C., Hawesa, Halima, Thacker, Neil A., Williams, Stephen R.

    Published in Magnetic resonance in medicine (01-04-2006)
    “…Accurate quantification of in vivo short echo time spectra is hampered by the presence of overlapping peaks and a significant baseline. In this work the Padé…”
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  17. 17

    Effects of intramolecular dipolar coupling on the isotropic-nematic phase transition of a hard spherocylinder fluid by Williamson, David C, Thacker, Neil A, Williams, Stephen R

    “…The thermodynamics of a simple model, containing the minimum set of features required to provide liquid crystal-like phase behavior and the dipolar coupling…”
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  18. 18

    Robust tissue boundary detection for cerebral cortical thickness estimation by Scott, Marietta L J, Thacker, Neil A

    “…This paper presents an algorithm for determining regional cerebral grey matter cortical thickness from magnetic resonance scans. In particular, the…”
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  19. 19

    Stereo vision processor by Lane, Richard A, Thacker, Neil A, Seed, Luke, Ivey, Peter A

    “…This paper describes a chip designed to perform high-precision image rectification for a computer vision application stereo vision. The very high level of…”
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  20. 20

    A fast model independent method for automatic correction of intensity nonuniformity in MRI data by Vokurka, Elizabeth A., Thacker, Neil A., Jackson, Alan

    Published in Journal of magnetic resonance imaging (01-10-1999)
    “…A novel nonparametric approach for correcting intensity nonuniformity in magnetic resonance (MR) images is described. This approach is based solely on the…”
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