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Kyle J. Myers
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2020 – today
- 2024
- [i6]Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio:
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR abs/2405.01822 (2024) - 2023
- [j14]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C.
, Kyle J. Myers
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging 42(6): 1799-1808 (2023) - [j13]Qing Lyu
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art 6(1): 9 (2023) - [c35]Patrick M. Lenahan, E. B. Frantz, Sean W. King, Mark A. Anders, S. J. Moxim, James P. Ashton, Kyle J. Myers, M. E. Flatté, N. J. Harmon:
Near Zero Field Magnetoresistance Spectroscopy: A New Tool in Semiconductor Reliability Physics. IRPS 2023: 1-6 - [c34]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c33]Karen Drukker
Assistance tools for the evaluation of machine learning algorithm performance: the decision tree-based tools developed by the Medical Imaging and Data Resource Center (MIDRC) Technology Development Project (TDP) 3c effort. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c32]Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [i5]Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow:
Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR abs/2303.09038 (2023) - 2022
- [j12]Brandon D. Gallas
FDA fosters innovative approaches in research, resources and collaboration. Nat. Mach. Intell. 4(2): 97-98 (2022) - [j11]Ge Wang
Development of metaverse for intelligent healthcare. Nat. Mac. Intell. 4(11): 922-929 (2022) - [c31]Craig K. Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank W. Samuelson, Miguel P. Eckstein, Kyle J. Myers, Mark A. Anastasio, Jovan G. Brankov
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c30]Natalie M. Baughan, Heather M. Whitney, Karen Drukker
Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c29]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [i4]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR abs/2204.03547 (2022) - [i3]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR abs/2204.12007 (2022) - 2021
- [i2]Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. CoRR abs/2102.09615 (2021) - [i1]Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers:
Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR abs/2111.09539 (2021) - 2020
- [c28]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160U
2010 – 2019
- 2019
- [c27]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Template models for forced-localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095206 - 2018
- [c26]Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers:
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. IWBI 2018: 107180L - 2017
- [c25]Kyle J. Myers:
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). Medical Imaging: Computer-Aided Diagnosis 2017: 1013415 - 2016
- [j10]Subok Park, George Zhang, Kyle J. Myers:
Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise. IEEE Trans. Medical Imaging 35(6): 1431-1442 (2016) - [c24]Predrag R. Bakic
Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. Digital Mammography / IWDM 2016: 518-524 - 2015
- [c23]Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick:
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Medical Imaging: Computer-Aided Diagnosis 2015: 94140C - 2013
- [c22]Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick:
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI 2013: 584-593 - 2012
- [c21]Stefano Young, Andreu Badal, Kyle J. Myers, Subok Park:
A Task-Specific Argument for Variable-Exposure Breast Tomosynthesis. Digital Mammography / IWDM 2012: 72-79 - [c20]Rongping Zeng, Subok Park, Predrag R. Bakic
Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis? Digital Mammography / IWDM 2012: 346-353 - [c19]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 - 2011
- [j9]Jerry L. Prince
Editorial. Medical Image Anal. 15(4): 601-602 (2011) - [c18]Christian G. Graff
The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging - Application to Signal Detection Tasks. IPMI 2011: 760-771 - 2010
- [j8]Joel M. Witten, Subok Park, Kyle J. Myers:
Partial Least Squares: A Method to Estimate Efficient Channels for the Ideal Observers. IEEE Trans. Medical Imaging 29(4): 1050-1058 (2010) - [j7]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. Medical Imaging 29(10): 1795-1807 (2010) - [c17]Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, B. Whiting, Sheng Lin-Gibson
Micro CT based truth estimation of nodule volume. Medical Imaging: Computer-Aided Diagnosis 2010: 762414 - [c16]Rongping Zeng, Nicholas Petrick, Marios A. Gavrielides, Kyle J. Myers:
Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. Medical Imaging: Computer-Aided Diagnosis 2010: 762415 - [c15]Marios A. Gavrielides, Lisa M. Kinnard, Kyle J. Myers, Rongping Zeng, Nicholas Petrick:
FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. Medical Imaging: Computer-Aided Diagnosis 2010: 762417
2000 – 2009
- 2009
- [j6]Subok Park, Aldo Badano
Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks. IEEE Trans. Medical Imaging 28(3): 339-347 (2009) - [j5]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. Medical Imaging 28(5): 657-668 (2009) - [j4]Hela Masmoudi, Stephen M. Hewitt
Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. IEEE Trans. Medical Imaging 28(6): 916-925 (2009) - [c14]Marios A. Gavrielides, Rongping Zeng, Lisa M. Kinnard, Kyle J. Myers, Nicholas Petrick:
A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Medical Imaging: Computer-Aided Diagnosis 2009: 726009 - [e1]Jerry L. Prince, Dzung L. Pham, Kyle J. Myers:
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 [contents] - 2008
- [c13]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 - [c12]Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. Medical Imaging: Computer-Aided Diagnosis 2008: 69152Q - 2007
- [c11]Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers:
Automated alignment of serial thoracic scans using bone structure descriptors. Medical Imaging: Computer-Aided Diagnosis 2007: 65143C - [c10]Iacovos S. Kyprianou, Andreu Badal, Aldo Badano
Monte Carlo simulated coronary angiograms of realistic anatomy and pathology models. Medical Imaging: Image-Guided Procedures 2007: 65090O - [c9]Diem Phuc Banh, Iacovos S. Kyprianou, Sophie Paquerault, Kyle J. Myers:
Morphology-based three-dimensional segmentation of coronary artery tree from CTA scans. Medical Imaging: Image Processing 2007: 65122I - 2006
- [c8]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 - [c7]Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas
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 - [c6]Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers:
Alignment of full and partial CT thoracic scans using bony structures. Medical Imaging: Image Processing 2006: 61443A - [c5]Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan
Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Medical Imaging: Image Processing 2006: 61445N - 2005
- [j3]Harrison H. Barrett, Kyle J. Myers, Sreeram Dhurjaty:
Foundations of Image Science. J. Electronic Imaging 14(2): 029901 (2005) - 2003
- [c4]Aldo Badano
Effect of viewing angle on visual detection in liquid crystal displays. Medical Imaging: Image-Guided Procedures 2003 - 2000
- [j2]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. Medical Imaging 19(12): 1160-1167 (2000)
1990 – 1999
- 1999
- [c3]David G. Brown, Mary S. Pastel, Kyle J. Myers:
Transform neural network for Fourier detection task. Medical Imaging: Image Processing 1999 - 1998
- [c2]David G. Brown, Mary S. Pastel, Kyle J. Myers:
Neural network decision functions for a limited-view reconstruction task. Medical Imaging: Image Processing 1998 - 1997
- [j1]Keith A. Wear
Constrained Reconstruction Applied to 2-D Chemical Shift Imaging. IEEE Trans. Medical Imaging 16(5): 591-597 (1997) - 1993
- [c1]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
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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