Kyle J. Myers

Stefano Young, Andreu Badal, Kyle J. Myers, Subok Park: A Task-Specific Argument for Variable-Exposure Breast Tomosynthesis. Digital Mammography / IWDM 2012: 72-79

Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers: Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis? Digital Mammography / IWDM 2012: 346-353

Rui Peng, Rongping Zeng, Eugene O'Bryan, Cecilia Marini-Bettolo, Berkman Sahiner, Kyle J. Myers, Robert J. Jennings: An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 650-657

Jerry L. Prince, Dzung L. Pham, Kyle J. Myers: Editorial. Medical Image Analysis 15(4): 601-602 (2011)

Christian G. Graff, Kyle J. Myers: The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging - Application to Signal Detection Tasks. IPMI 2011: 760-771

Joel M. Witten, Subok Park, Kyle J. Myers: Partial Least Squares: A Method to Estimate Efficient Channels for the Ideal Observers. IEEE Trans. Med. Imaging 29(4): 1050-1058 (2010)

Marios A. Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle J. Myers, Nicholas Petrick: Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. IEEE Trans. Med. Imaging 29(10): 1795-1807 (2010)

Subok Park, Aldo Badano, Brandon D. Gallas, Kyle J. Myers: Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks. IEEE Trans. Med. Imaging 28(3): 339-347 (2009)

Subok Park, Joel M. Witten, Kyle J. Myers: Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer. IEEE Trans. Med. Imaging 28(5): 657-668 (2009)

Hela Masmoudi, Stephen M. Hewitt, Nicholas Petrick, Kyle J. Myers, Marios A. Gavrielides: Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. IEEE Trans. Med. Imaging 28(6): 916-925 (2009)

Jerry L. Prince, Dzung L. Pham, Kyle J. Myers (Eds.): Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings. Lecture Notes in Computer Science 5636, Springer 2009, isbn 978-3-642-02497-9

Marios A. Gavrielides, Hela Masmoudi, Nicholas Petrick, Kyle J. Myers, Stephen M. Hewitt: Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy. ISBI 2008: 808-811

Iacovos S. Kyprianou, Sophie Paquerault, Brandon D. Gallas, Aldo Badano, Subok Park, Kyle J. Myers: Framework for determination of geometric parameters of a cone beam CT scanner for measuring the system response function and improved object reconstruction. ISBI 2006: 1248-1251

Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner: Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. Digital Mammography / IWDM 2006: 565-568

Harrison H. Barrett, Kyle J. Myers, Sreeram Dhurjaty: Foundations of Image Science. J. Electronic Imaging 14(2): 029901 (2005)

Rik Van de Walle, Harrison H. Barrett, Kyle J. Myers, Maria I. Altbach, Bart Desplanques, Arthur F. Gmitro, Jan Cornelis, Ignace Lemahieu: Reconstruction of MRI Images from Data Acquired on a General Non-Regular Grid by Pseudoinverse Calculation. IEEE Trans. Med. Imaging 19(12): 1160-1167 (2000)

Keith A. Wear, Kyle J. Myers, S. S. Rajan, L. W. Grossman: Constrained Reconstruction Applied to 2-D Chemical Shift Imaging. IEEE Trans. Med. Imaging 16(5): 591-597 (1997)

Robert F. Wagner, David G. Brown, Jean-Pierre Guédon, Kyle J. Myers, Keith A. Wear: Multivariate Gaussian Pattern Classification: Effects of Finite Sample Size and the Addition of Correlated of Noisy Features on Summary Measures of Goodness. IPMI 1993: 507-524