Kyle J. Myers

Orcid: 0000-0001-7394-4932

According to our database1, Kyle J. Myers authored at least 52 papers between 1993 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics.
IEEE Trans. Medical Imaging, June, 2023

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential.
Vis. Comput. Ind. Biomed. Art, 2023

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential.
CoRR, 2023

Evaluating generative stochastic image models using task-based image quality measures.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

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.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

Predictive accuracy of model observers in lesion discrimination tasks.
Proceedings of the Medical Imaging 2023: Image Perception, 2023

Near Zero Field Magnetoresistance Spectroscopy: A New Tool in Semiconductor Reliability Physics.
Proceedings of the IEEE International Reliability Physics Symposium, 2023

2022
Development of metaverse for intelligent healthcare.
Nat. Mac. Intell., November, 2022

FDA fosters innovative approaches in research, resources and collaboration.
Nat. Mach. Intell., 2022

Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Sequestration of imaging studies in MIDRC: a multi-institutional data commons.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

Analyzing neural networks applied to an anatomical simulation of the breast.
Proceedings of the Medical Imaging 2022: Image Perception, 2022

2021
Deep neural networks-based denoising models for CT imaging and their efficacy.
CoRR, 2021

Noise Entangled GAN For Low-Dose CT Simulation.
CoRR, 2021

2020
Human observer templates for lesion discrimination tasks.
Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019
Template models for forced-localization tasks.
Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation).
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2016
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, 2016

Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions.
Proceedings of the Breast Imaging, 2016

2015
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2013
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT.
Proceedings of the Information Processing in Medical Imaging, 2013

2012
Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis?
Proceedings of the Breast Imaging, 2012

A Task-Specific Argument for Variable-Exposure Breast Tomosynthesis.
Proceedings of the Breast Imaging, 2012

An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis.
Proceedings of the Breast Imaging, 2012

2011
Editorial.
Medical Image Anal., 2011

The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging - Application to Signal Detection Tasks.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
Partial Least Squares: A Method to Estimate Efficient Channels for the Ideal Observers.
IEEE Trans. Medical Imaging, 2010

Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study.
IEEE Trans. Medical Imaging, 2010

Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

Micro CT based truth estimation of nodule volume.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010

2009
Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer.
IEEE Trans. Medical Imaging, 2009

Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks.
IEEE Trans. Medical Imaging, 2009

Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer.
IEEE Trans. Medical Imaging, 2009

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom.
Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, 2008

Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007
Morphology-based three-dimensional segmentation of coronary artery tree from CTA scans.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Monte Carlo simulated coronary angiograms of realistic anatomy and pathology models.
Proceedings of the Medical Imaging 2007: Visualization and Image-Guided Procedures, 2007

Automated alignment of serial thoracic scans using bone structure descriptors.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007

2006
Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Alignment of full and partial CT thoracic scans using bony structures.
Proceedings of the Medical Imaging 2006: Image Processing, 2006

Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal.
Proceedings of the Digital Mammography, 2006

Framework for determination of geometric parameters of a cone beam CT scanner for measuring the system response function and improved object reconstruction.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005
Foundations of Image Science.
J. Electronic Imaging, 2005

2003
Effect of viewing angle on visual detection in liquid crystal displays.
Proceedings of the Medical Imaging 2003: Visualization, 2003

2000
Reconstruction of MRI Images from Data Acquired on a General Non-Regular Grid by Pseudoinverse Calculation.
IEEE Trans. Medical Imaging, 2000

1999
Transform neural network for Fourier detection task.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

1998
Neural network decision functions for a limited-view reconstruction task.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

1997
Constrained Reconstruction Applied to 2-D Chemical Shift Imaging.
IEEE Trans. Medical Imaging, 1997

1993
Multivariate Gaussian Pattern Classification: Effects of Finite Sample Size and the Addition of Correlated of Noisy Features on Summary Measures of Goodness.
Proceedings of the Information Processing in Medical Imaging, 1993


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