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

Constrained Reconstruction Applied to 2-D Chemical Shift Imaging. - Keith A. Wear; Kyle J. Myers; Sunder S. Rajan; Laurence W. Grossman (IEEE Trans. Medical Imaging, 1997)

Neural network decision functions for a limited-view reconstruction task. - David G. Brown; Mary S. Pastel; Kyle J. Myers (Image Processing, 1998)

Transform neural network for Fourier detection task. - David G. Brown; Mary S. Pastel; Kyle J. Myers (Image Processing, 1999)

Reconstruction of MRI Images from Data Acquired on a General Non-Regular Grid by Pseudoinverse Calculation. - Rik Van de Walle; Harrison H. Barrett; Kyle J. Myers; Maria I. Altbach; Bart Desplanques; Arthur F. Gmitro; Jan Cornelis 001; Ignace Lemahieu (IEEE Trans. Medical Imaging, 2000)

Effect of viewing angle on visual detection in liquid crystal displays. - Aldo Badano; Brandon D. Gallas; Kyle J. Myers; Arthur E. Burgess (Image-Guided Procedures, 2003)

Foundations of Image Science. - Harrison H. Barrett; Kyle J. Myers; Sreeram Dhurjaty (J. Electronic Imaging, 2005)

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

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

Alignment of full and partial CT thoracic scans using bony structures. - Marios A. Gavrielides; Nicholas Petrick; Kyle J. Myers (Image Processing, 2006)

Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. - Sophie Paquerault; Nicholas Petrick; Berkman Sahiner; Kyle J. Myers; Heang-Ping Chan (Image Processing, 2006)

Automated alignment of serial thoracic scans using bone structure descriptors. - Marios A. Gavrielides; Nicholas Petrick; Kyle J. Myers (Computer-Aided Diagnosis, 2007)

Monte Carlo simulated coronary angiograms of realistic anatomy and pathology models. - Iacovos S. Kyprianou; Andreu Badal; Aldo Badano; Diem Phuc Banh; Melanie Freed; Kyle J. Myers; Laura Thompson (Image-Guided Procedures, 2007)

Morphology-based three-dimensional segmentation of coronary artery tree from CTA scans. - Diem Phuc Banh; Iacovos S. Kyprianou; Sophie Paquerault; Kyle J. Myers (Image Processing, 2007)

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

Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. - Lisa M. Kinnard; Marios A. Gavrielides; Kyle J. Myers; Rongping Zeng; Jennifer Peregoy; William F. Pritchard; John W. Karanian; Nicholas Petrick (Computer-Aided Diagnosis, 2008)

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. - Marios A. Gavrielides; Rongping Zeng; Lisa M. Kinnard; Kyle J. Myers; Nicholas Petrick (Computer-Aided Diagnosis, 2009)

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

Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks. - Subok Park; Aldo Badano; Brandon D. Gallas; Kyle J. Myers (IEEE Trans. Medical Imaging, 2009)

Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer. - Subok Park; Joel M. Witten; Kyle J. Myers (IEEE Trans. Medical Imaging, 2009)

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. - Marios A. Gavrielides; Lisa M. Kinnard; Kyle J. Myers; Rongping Zeng; Nicholas Petrick (Computer-Aided Diagnosis, 2010)

Micro CT based truth estimation of nodule volume. - Lisa M. Kinnard; Marios A. Gavrielides; Kyle J. Myers; Rongping Zeng; B. Whiting; Sheng Lin-Gibson; Nicholas Petrick (Computer-Aided Diagnosis, 2010)

Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. - Rongping Zeng; Nicholas Petrick; Marios A. Gavrielides; Kyle J. Myers (Computer-Aided Diagnosis, 2010)

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

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

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

Editorial. - Jerry L. Prince; Dzung L. Pham; Kyle J. Myers (Medical Image Anal., 2011)

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

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

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

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. - Qin Li 018; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Marios A. Gavrielides; Nicholas Petrick (IPMI, 2013)

Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. - Qin Li 018; Marios A. Gavrielides; Rongping Zeng; Kyle J. Myers; Berkman Sahiner; Nicholas Petrick (Computer-Aided Diagnosis, 2015)

Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. - Predrag R. Bakic; Kyle J. Myers; Stephen J. Glick; Andrew D. A. Maidment (Digital Mammography / IWDM, 2016)

Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise. - Subok Park; George Zhang 002; Kyle J. Myers (IEEE Trans. Medical Imaging, 2016)

FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). - Kyle J. Myers (Computer-Aided Diagnosis, 2017)

Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. - Rongping Zeng; Congxian Jia; Nima Akhlaghi; Mahsa Torkaman; Brian S. Garra; Karen Alton; Rachel Brem; Tahira Ahmed; Richard Kaczmarek; Kyle J. Myers (IWBI, 2018)

Template models for forced-localization tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2019)

Human observer templates for lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 2020)

Noise Entangled GAN For Low-Dose CT Simulation. - Chuang Niu; Ge Wang 001; Pingkun Yan; Juergen Hahn; Youfang Lai; Xun Jia; Arjun Krishna; Klaus Mueller 001; Andreu Badal; Kyle J. Myers; Rongping Zeng (CoRR, 2021)

Deep neural networks-based denoising models for CT imaging and their efficacy. - Prabhat K. C.; Rongping Zeng; M. Mehdi Farhangi; Kyle J. Myers (CoRR, 2021)

Analyzing neural networks applied to an anatomical simulation of the breast. - 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 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Sequestration of imaging studies in MIDRC: a multi-institutional data commons. - Natalie M. Baughan; Heather M. Whitney; Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Michael F. McNitt-Gray; Kyle J. Myers; Maryellen L. Giger (Image Perception, Observer Performance, and Technology Assessment, 2022)

Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. - Varun A. Kelkar; Dimitrios S. Gotsis; Frank J. Brooks; Kyle J. Myers; Prabhat K. C.; Rongping Zeng; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2022)

FDA fosters innovative approaches in research, resources and collaboration. - Brandon D. Gallas; Aldo Badano; Sarah Dudgeon; Katherine Elfer; Victor Garcia; Jochen K. Lennerz; Kyle J. Myers; Nicholas Petrick; Ed Margerrison (Nat. Mach. Intell., 2022)

Development of metaverse for intelligent healthcare. - Ge Wang 001; Andreu Badal; Xun Jia; Jonathan S. Maltz; Klaus Mueller 001; Kyle J. Myers; Chuang Niu; Michael W. Vannier; Pingkun Yan; Zhou Yu; Rongping Zeng (Nat. Mac. Intell., 2022)

Near Zero Field Magnetoresistance Spectroscopy: A New Tool in Semiconductor Reliability Physics. - Patrick M. Lenahan; E. B. Frantz; Sean W. King; Mark A. Anders 002; S. J. Moxim; James P. Ashton; Kyle J. Myers; M. E. Flatté; N. J. Harmon (IRPS, 2023)

Predictive accuracy of model observers in lesion discrimination tasks. - Craig K. Abbey; Frank W. Samuelson; Rongping Zeng; John M. Boone; Miguel P. Eckstein; Kyle J. Myers (Image Perception, Observer Performance, and Technology Assessment, 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. - Karen Drukker; Berkman Sahiner; Tingting Hu; Hyun J. Grace Kim; Heather M. Whitney; Natalie M. Baughan; Kyle J. Myers; Maryellen L. Giger; Michael F. McNitt-Gray (Image Perception, Observer Performance, and Technology Assessment, 2023)

Evaluating generative stochastic image models using task-based image quality measures. - Varun A. Kelkar; Dimitrios S. Gotsis; Rucha Deshpande; Frank J. Brooks; Prabhat K. C.; Kyle J. Myers; Rongping Zeng; Mark A. Anastasio (Image Perception, Observer Performance, and Technology Assessment, 2023)

Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Ge Wang 001; Kyle J. Myers; Christopher T. Whitlow (CoRR, 2023)

Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. - Qing Lyu 003; Josh Tan; Michael E. Zapadka; Janardhana Ponnatapura; Chuang Niu; Kyle J. Myers; Ge Wang 001; Christopher T. Whitlow (Vis. Comput. Ind. Biomed. Art, 2023)

Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. - Varun A. Kelkar; Dimitrios S. Gotsis; Frank J. Brooks; Prabhat K. C.; Kyle J. Myers; Rongping Zeng; Mark A. Anastasio (IEEE Trans. Medical Imaging, 2023)

Synthetic ultrasound images to benchmark echocardiography-based biomechanics. - Tanmay Mukherjee; Sunder Neelakantan; Kyle J. Myers; Carl Tong; Reza Avazmohammadi (EMBC, 2024)

Physics-informed motion registration of lung parenchyma across static CT images. - Sunder Neelakantan; Tanmay Mukherjee; Kyle J. Myers; Rahim R. Rizi; Reza Avazmohammadi (EMBC, 2024)

Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. - Rucha Deshpande; Varun A. Kelkar; Dimitrios S. Gotsis; Prabhat K. C.; Rongping Zeng; Kyle J. Myers; Frank J. Brooks; Mark A. Anastasio (CoRR, 2024)

Towards Non-invasive Estimation of Myocardial Scar Stiffness from Cardiac Strains Using Deep Learning. - Rana Raza Mehdi; Nikhil Kadivar; Vahid Serpooshan; Kyle J. Myers; George E. Karniadakis; Reza Avazmohammadi (FIMH (1), 2025)

Progressive Microstructural Remodeling in the Infarcted Left Ventricle Analyzed by Diffusion Tensor MRI. - Emilio A. Mendiola; Qian Xiang; Vahid Serpooshan; Kyle J. Myers; Peter Vanderslice; Reza Avazmohammadi (FIMH (2), 2025)

Intracardiac Hemodynamics Alteration in Myocardial Infarction. - Sunder Neelakantan; Dalton Pinto; Rana Raza Mehdi; Seyed Babak Peighambari; Kyle J. Myers; Reza Avazmohammadi (FIMH (1), 2025)

Augmented Long-Axis Acquisition in Cardiac Magnetic Resonance Imaging Improves Cardiac Strain Accuracy. - Tanmay Mukherjee; Emilio A. Mendiola; Elizabeth Fugate; Diana Lindquist; Kyle J. Myers; Sakthivel Sadayappan; Reza Avazmohammadi (ISBI, 2025)