Kyle J. Myers - RankMe

62 papers B 5Journal 20Unranked 36

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Augmented Long-Axis Acquisition in Cardiac Magnetic Resonance Imaging Improves Cardiac Strain Accuracy. ISBI Tanmay Mukherjee, Emilio A. Mendiola, Elizabeth Fugate, Diana Lindquist, Kyle J. Myers, Sakthivel Sadayappan, Reza Avazmohammadi
2025	—	`conf`	Intracardiac Hemodynamics Alteration in Myocardial Infarction. FIMH (1) Sunder Neelakantan, Dalton Pinto, Rana Raza Mehdi, Seyed Babak Peighambari, Kyle J. Myers, Reza Avazmohammadi
2025	—	`conf`	Progressive Microstructural Remodeling in the Infarcted Left Ventricle Analyzed by Diffusion Tensor MRI. FIMH (2) Emilio A. Mendiola, Qian Xiang, Vahid Serpooshan, Kyle J. Myers, Peter Vanderslice, Reza Avazmohammadi
2025	—	`conf`	Towards Non-invasive Estimation of Myocardial Scar Stiffness from Cardiac Strains Using Deep Learning. FIMH (1) Rana Raza Mehdi, Nikhil Kadivar, Vahid Serpooshan, Kyle J. Myers, George E. Karniadakis, Reza Avazmohammadi
2024	—	`conf`	Physics-informed motion registration of lung parenchyma across static CT images. EMBC Sunder Neelakantan, Tanmay Mukherjee, Kyle J. Myers, Rahim R. Rizi, Reza Avazmohammadi
2024	J	`jnl`	Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio
2024	—	`conf`	Synthetic ultrasound images to benchmark echocardiography-based biomechanics. EMBC Tanmay Mukherjee, Sunder Neelakantan, Kyle J. Myers, Carl Tong, Reza Avazmohammadi
2023	J	`jnl`	Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2023	—	`conf`	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. Image Perception, Observer Performance, and Technology Assessment 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
2023	—	`conf`	Evaluating generative stochastic image models using task-based image quality measures. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2023	—	`conf`	Near Zero Field Magnetoresistance Spectroscopy: A New Tool in Semiconductor Reliability Physics. IRPS 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
2023	—	`conf`	Predictive accuracy of model observers in lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2023	J	`jnl`	Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential. CoRR Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Ge Wang, Kyle J. Myers, Christopher T. Whitlow
2023	J	`jnl`	Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential. Vis. Comput. Ind. Biomed. Art Qing Lyu, Josh Tan, Michael E. Zapadka, Janardhana Ponnatapura, Chuang Niu, Kyle J. Myers, Ge Wang, Christopher T. Whitlow
2022	—	`conf`	Analyzing neural networks applied to an anatomical simulation of the breast. Image Perception, Observer Performance, and Technology Assessment 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
2022	J	`jnl`	Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio
2022	J	`jnl`	Development of metaverse for intelligent healthcare. Nat. Mac. Intell. Ge Wang, Andreu Badal, Xun Jia, Jonathan S. Maltz, Klaus Mueller, Kyle J. Myers, Chuang Niu, Michael W. Vannier, Pingkun Yan, Zhou Yu, Rongping Zeng
2022	J	`jnl`	Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022	—	`conf`	Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Image Perception, Observer Performance, and Technology Assessment Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio
2022	J	`jnl`	FDA fosters innovative approaches in research, resources and collaboration. Nat. Mach. Intell. Brandon D. Gallas, Aldo Badano, Sarah Dudgeon, Katherine Elfer, Victor Garcia, Jochen K. Lennerz, Kyle J. Myers, Nicholas Petrick, Ed Margerrison
2022	—	`conf`	Sequestration of imaging studies in MIDRC: a multi-institutional data commons. Image Perception, Observer Performance, and Technology Assessment 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
2021	J	`jnl`	Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers
2021	J	`jnl`	Noise Entangled GAN For Low-Dose CT Simulation. CoRR Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng
2020	—	`conf`	Human observer templates for lesion discrimination tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2019	—	`conf`	Template models for forced-localization tasks. Image Perception, Observer Performance, and Technology Assessment Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers
2018	—	`conf`	Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. IWBI Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers
2017	—	`conf`	FDA's role in the innovation and evaluation of evolving CAD solutions (Conference Presentation). Computer-Aided Diagnosis Kyle J. Myers
2016	J	`jnl`	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 Subok Park, George Zhang, Kyle J. Myers
2016	—	`conf`	Virtual Tools for the Evaluation of Breast Imaging: State-of-the Science and Future Directions. Digital Mammography / IWDM Predrag R. Bakic, Kyle J. Myers, Stephen J. Glick, Andrew D. A. Maidment
2015	—	`conf`	Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Computer-Aided Diagnosis Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick
2013	—	`conf`	Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick
2012	—	`conf`	A Task-Specific Argument for Variable-Exposure Breast Tomosynthesis. Digital Mammography / IWDM Stefano Young, Andreu Badal, Kyle J. Myers, Subok Park
2012	—	`conf`	An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. Digital Mammography / IWDM Rui Peng, Rongping Zeng, Eugene O'Bryan, Cecilia Marini-Bettolo, Berkman Sahiner, Kyle J. Myers, Robert J. Jennings
2012	—	`conf`	Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis? Digital Mammography / IWDM Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers
2011	J	`jnl`	Editorial. Medical Image Anal. Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
2011	—	`conf`	The Ideal Observer Objective Assessment Metric for Magnetic Resonance Imaging - Application to Signal Detection Tasks. IPMI Christian G. Graff, Kyle J. Myers
2010	—	`conf`	Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. Computer-Aided Diagnosis Rongping Zeng, Nicholas Petrick, Marios A. Gavrielides, Kyle J. Myers
2010	—	`conf`	FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. Computer-Aided Diagnosis Marios A. Gavrielides, Lisa M. Kinnard, Kyle J. Myers, Rongping Zeng, Nicholas Petrick
2010	J	`jnl`	Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. IEEE Trans. Medical Imaging Marios A. Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle J. Myers, Nicholas Petrick
2010	—	`conf`	Micro CT based truth estimation of nodule volume. Computer-Aided Diagnosis Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, B. Whiting, Sheng Lin-Gibson, Nicholas Petrick
2010	J	`jnl`	Partial Least Squares: A Method to Estimate Efficient Channels for the Ideal Observers. IEEE Trans. Medical Imaging Joel M. Witten, Subok Park, Kyle J. Myers
2009	—	`conf`	A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Computer-Aided Diagnosis Marios A. Gavrielides, Rongping Zeng, Lisa M. Kinnard, Kyle J. Myers, Nicholas Petrick
2009	J	`jnl`	Automated Quantitative Assessment of HER-2/neu Immunohistochemical Expression in Breast Cancer. IEEE Trans. Medical Imaging Hela Masmoudi, Stephen M. Hewitt, Nicholas Petrick, Kyle J. Myers, Marios A. Gavrielides
2009	J	`jnl`	Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks. IEEE Trans. Medical Imaging Subok Park, Aldo Badano, Brandon D. Gallas, Kyle J. Myers
2009	—	`ed.`	Information Processing in Medical Imaging, 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings IPMI Jerry L. Prince, Dzung L. Pham, Kyle J. Myers
2009	J	`jnl`	Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer. IEEE Trans. Medical Imaging Subok Park, Joel M. Witten, Kyle J. Myers
2008	—	`conf`	Automated evaluation of HER-2/neu immunohistochemical expression in breast cancer using digital microscopy. ISBI Marios A. Gavrielides, Hela Masmoudi, Nicholas Petrick, Kyle J. Myers, Stephen M. Hewitt
2008	—	`conf`	Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. Computer-Aided Diagnosis Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy, William F. Pritchard, John W. Karanian, Nicholas Petrick
2007	—	`conf`	Automated alignment of serial thoracic scans using bone structure descriptors. Computer-Aided Diagnosis Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
2007	—	`conf`	Monte Carlo simulated coronary angiograms of realistic anatomy and pathology models. Image-Guided Procedures Iacovos S. Kyprianou, Andreu Badal, Aldo Badano, Diem Phuc Banh, Melanie Freed, Kyle J. Myers, Laura Thompson
2007	B	`conf`	Morphology-based three-dimensional segmentation of coronary artery tree from CTA scans. Image Processing Diem Phuc Banh, Iacovos S. Kyprianou, Sophie Paquerault, Kyle J. Myers
2006	B	`conf`	Alignment of full and partial CT thoracic scans using bony structures. Image Processing Marios A. Gavrielides, Nicholas Petrick, Kyle J. Myers
2006	—	`conf`	Framework for determination of geometric parameters of a cone beam CT scanner for measuring the system response function and improved object reconstruction. ISBI Iacovos S. Kyprianou, Sophie Paquerault, Brandon D. Gallas, Aldo Badano, Subok Park, Kyle J. Myers
2006	—	`conf`	Leveraging the Digital Mammography Image Screening Trial (DMIST) Data for the Evaluation of Computer-Aided Detection (CAD) Devices: A Proposal. Digital Mammography / IWDM Nicholas Petrick, Kyle J. Myers, Sophie Paquerault, Frank W. Samuelson, Brandon D. Gallas, Robert F. Wagner
2006	B	`conf`	Potential improvement of computerized mass detection on mammograms using a bilateral pairing technique. Image Processing Sophie Paquerault, Nicholas Petrick, Berkman Sahiner, Kyle J. Myers, Heang-Ping Chan
2005	J	`jnl`	Foundations of Image Science. J. Electronic Imaging Harrison H. Barrett, Kyle J. Myers, Sreeram Dhurjaty
2003	—	`conf`	Effect of viewing angle on visual detection in liquid crystal displays. Image-Guided Procedures Aldo Badano, Brandon D. Gallas, Kyle J. Myers, Arthur E. Burgess
2000	J	`jnl`	Reconstruction of MRI Images from Data Acquired on a General Non-Regular Grid by Pseudoinverse Calculation. IEEE Trans. Medical Imaging Rik Van de Walle, Harrison H. Barrett, Kyle J. Myers, Maria I. Altbach, Bart Desplanques, Arthur F. Gmitro, Jan Cornelis, Ignace Lemahieu
1999	B	`conf`	Transform neural network for Fourier detection task. Image Processing David G. Brown, Mary S. Pastel, Kyle J. Myers
1998	B	`conf`	Neural network decision functions for a limited-view reconstruction task. Image Processing David G. Brown, Mary S. Pastel, Kyle J. Myers
1997	J	`jnl`	Constrained Reconstruction Applied to 2-D Chemical Shift Imaging. IEEE Trans. Medical Imaging Keith A. Wear, Kyle J. Myers, Sunder S. Rajan, Laurence W. Grossman
1993	—	`conf`	Multivariate Gaussian Pattern Classification: Effects of Finite Sample Size and the Addition of Correlated of Noisy Features on Summary Measures of Goodness. IPMI Robert F. Wagner, David G. Brown, Jean-Pierre Guédon, Kyle J. Myers, Keith A. Wear