Kyle J. Myers

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All published works
Action Title Year Authors
+ PDF Chat Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers 2025 Kaiyan Li
Prabhat KC
Hua Li
Kyle J. Myers
Mark A. Anastasio
Rongping Zeng
+ Report on the AAPM grand challenge on deep generative modeling for learning medical image statistics 2024 R. Deshpande
Varun A. Kelkar
Dimitrios S. Gotsis
Prabhat KC
Rongping Zeng
Kyle J. Myers
Frank J. Brooks
Mark A. Anastasio
+ PDF Chat Synthetic ultrasound images to benchmark echocardiography-based biomechanics 2024 Tanmay Mukherjee
Sunder Neelakantan
Kyle J. Myers
Carl W. Tong
Reza Avazmohammadi
+ PDF Chat Physics-informed motion registration of lung parenchyma across static CT images 2024 Sunder Neelakantan
Tanmay Mukherjee
Kyle J. Myers
Rahim R. Rizi
Reza Avazmohammadi
+ PDF Chat Synthetic ultrasound images to benchmark echocardiography-based biomechanics 2024 Tanmay Mukherjee
Sunder Neelakantan
Kyle J. Myers
Carl W. Tong
Reza Avazmohammadi
+ PDF Chat Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons 2023 Heather M. Whitney
Natalie Baughan
Kyle J. Myers
Karen Drukker
Judy Wawira Gichoya
Brad Bower
Weijie Chen
Nicholas P. Gruszauskas
Jayashree Kalpathy-Cramer
Sanmi Koyejo
+ PDF Chat Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics 2023 Varun A. Kelkar
Dimitrios S. Gotsis
Frank J. Brooks
Prabhat KC
Kyle J. Myers
Rongping Zeng
Mark A. Anastasio
+ Translating Radiology Reports into Plain Language using ChatGPT and GPT-4 with Prompt Learning: Promising Results, Limitations, and Potential 2023 Qing Lyu
Josh Tan
Mike E. Zapadka
Janardhana Ponnatapuram
Chuang Niu
Ge Wang
Christopher T. Whitlow
+ Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons 2023 Heather M. Whitney
Natalie Baughan
Kyle J. Myers
Karen Drukker
Judy Wawira Gichoya
Brad Bower
Weijie Chen
Nicholas P. Gruszauskas
Jayashree Kalpathy-Cramer
Sanmi Koyejo
+ Money, Time, and Grant Design 2023 Kyle J. Myers
Wei Yang Tham
+ PDF Chat Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging 2022 Varun A. Kelkar
Dimitrios S. Gotsis
Frank J. Brooks
Kyle J. Myers
Prabhat KC
Rongping Zeng
Mark A. Anastasio
+ Assessing the ability of generative adversarial networks to learn canonical medical image statistics 2022 Varun A. Kelkar
Dimitrios S. Gotsis
Frank J. Brooks
Prabhat KC
Kyle J. Myers
Rongping Zeng
Mark A. Anastasio
+ PDF Chat Deep neural networks-based denoising models for CT imaging and their efficacy 2021 Prabhat KC
Rongping Zeng
M. Mehdi Farhangi
Kyle J. Myers
+ Noise Entangled GAN For Low-Dose CT Simulation 2021 Chuang Niu
Ge Wang
Pingkun Yan
Juergen Hahn
Youfang Lai
Xun Jia
Arjun Krishna
Klaus Mueller
Andreu Badal
Kyle J. Myers
+ Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician 2021 Abhinav K. Jha
Kyle J. Myers
Nancy A. Obuchowski
Ziping Liu
Ashequr Rahman
Babak Saboury
Arman Rahmim
Barry A. Siegel
+ PDF Chat Physiological random processes in precision cancer therapy 2018 Nick Henscheid
Eric Clarkson
Kyle J. Myers
Harrison H. Barrett
+ Use of characteristic functionals to analyze molecular images in targeted cancer therapy 2017 Harrison H. Barrett
Kyle J. Myers
Eric Clarkson
Nick Henscheid
+ PDF Chat Quantitative imaging biomarkers: A review of statistical methods for computer algorithm comparisons 2014 Nancy A. Obuchowski
Anthony P. Reeves
Erich P. Huang
Xiaofeng Wang
Andrew J. Buckler
Grace Hyun J. Kim
Huiman X. Barnhart
Edward F. Jackson
Maryellen L. Giger
Gene Pennello
+ Signal recovery as estimation: A discourse on null functions and nuisance parameters 2007 Harrison H. Barrett
Kyle J. Myers
+ Singular-value decomposition for through-focus imaging systems 2006 Anna Burvall
Harrison H. Barrett
Christopher Dainty
Kyle J. Myers
+ <title>Correlated point processes in radiological imaging</title> 1997 Harrison H. Barrett
Robert F. Wagner
Kyle J. Myers
+ <title>Combining a few diagnostic tests or features</title> 1994 Robert F. Wagner
David G. Brown
Jeanpierre Guédon
Kyle J. Myers
Keith A. Wear
+ Maximum a-posteriori detection and figures of merit for detection under uncertainty 1990 Robert F. Wagner
Kyle J. Myers
M. J. Tapiovaara
David G. Brown
Arthur E. Burgess
+ Detection And Estimation: Human Vs. Ideal Performance As A Function Of Information 1988 Kyle J. Myers
Robert F. Wagner
+ Applications of Statistical Decision Theory in Nuclear Medicine 1988 Harrison H. Barrett
John N. Aarsvold
H. Bradford Barber
E. B. Cargill
Robert D. Fiete
T.S. Hickernell
Thomas D. Milster
Kyle J. Myers
Dennis D. Patton
Robert K. Rowe
+ Effect of noise correlation on detectability of disk signals in medical imaging 1985 Kyle J. Myers
Harrison H. Barrett
Mark Borgstrom
Dennis D. Patton
George W. Seeley
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat On Hallucinations in Tomographic Image Reconstruction 2021 Sayantan Bhadra
Varun A. Kelkar
Frank J. Brooks
Mark A. Anastasio
3
+ PDF Chat Analyzing and Improving the Image Quality of StyleGAN 2020 Tero Karras
Samuli Laine
Miika Aittala
Janne Hellsten
Jaakko Lehtinen
Timo Aila
3
+ PDF Chat A Style-Based Generator Architecture for Generative Adversarial Networks 2019 Tero Karras
Samuli Laine
Timo Aila
2
+ PDF Chat Learning stochastic object models from medical imaging measurements by use of advanced ambient generative adversarial networks 2022 Weimin Zhou
Sayantan Bhadra
Frank J. Brooks
Hua Li
Mark A. Anastasio
2
+ PDF Chat Markov-Chain Monte Carlo approximation of the Ideal Observer using generative adversarial networks 2020 Weimin Zhou
Mark A. Anastasio
2
+ PDF Chat Generative adversarial network in medical imaging: A review 2019 Yi Xin
Ekta Walia
Paul Babyn
2
+ PDF Chat Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation 2021 August DuMont SchĂŒtte
JĂŒrgen Hetzel
Sergios Gatidis
Tobias Hepp
Benedikt Dietz
Stefan Bauer
Patrick Schwab
2
+ PDF Chat Pros and cons of GAN evaluation measures 2018 Ali Borji
2
+ PDF Chat Impact of deep learning-based image super-resolution on binary signal detection 2021 Xiaohui Zhang
Varun A. Kelkar
Jason L. Granstedt
Hua Li
Mark A. Anastasio
2
+ Prior Image-Constrained Reconstruction using Style-Based Generative Models 2021 Varun A. Kelkar
Mark A. Anastasio
2
+ Kullback-Leibler divergence estimation of continuous distributions 2008 Fernando PĂ©rez‐Cruz
2
+ PDF Chat CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE) 2019 Chenyu You
Wenxiang Cong
Michael W. Vannier
Punam K. Saha
Eric A. Hoffman
Ge Wang
Guang Li
Yi Zhang
Xiaoliu Zhang
Hongming Shan
2
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
2
+ Effect of noise correlation on detectability of disk signals in medical imaging 1985 Kyle J. Myers
Harrison H. Barrett
Mark Borgstrom
Dennis D. Patton
George W. Seeley
2
+ PDF Chat Characteristic functionals in imaging and image-quality assessment: tutorial 2016 Eric Clarkson
Harrison H. Barrett
2
+ PDF Chat Distribution Matching Losses Can Hallucinate Features in Medical Image Translation 2018 Joseph Cohen
Margaux Luck
Sina Honari
2
+ PDF Chat Generative adversarial networks 2020 Ian Goodfellow
Jean Pouget-Abadie
Mehdi Mirza
Bing Xu
David Warde-Farley
Sherjil Ozair
Aaron Courville
Yoshua Bengio
2
+ Compressible Latent-Space Invertible Networks for Generative Model-Constrained Image Reconstruction 2021 Varun A. Kelkar
Sayantan Bhadra
Mark A. Anastasio
2
+ Statistical Methods in Diagnostic Medicine 2011 Xiao‐Hua Zhou
Nancy A. Obuchowski
Donna K. McClish
2
+ PDF Chat Pros and cons of GAN evaluation measures: New developments 2021 Ali Borji
2
+ PDF Chat Quantitative imaging biomarkers: A review of statistical methods for technical performance assessment 2014 David Raunig
Lisa M. McShane
Gene Pennello
Constantine Gatsonis
Paul L. Carson
James Voyvodic
Richard L. Wahl
Brenda F. Kurland
Adam J. Schwarz
Mithat Gönen
2
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
2
+ PDF Chat 3-D Stochastic Numerical Breast Phantoms for Enabling Virtual Imaging Trials of Ultrasound Computed Tomography 2021 Fu Li
Umberto Villa
Seonyeong Park
Mark A. Anastasio
2
+ PDF Chat 3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical Images 2021 Sung–Min Hong
Răzvan V. Marinescu
Adrian V. Dalca
Anna K. Bonkhoff
Martin Bretzner
Natalia S. Rost
Polina Golland
2
+ A Method for Evaluating the Capacity of Generative Adversarial Networks to Reproduce High-order Spatial Context 2021 Rucha Deshpande
Mark A. Anastasio
Frank J. Brooks
2
+ Approximating the Ideal Observer and Hotelling Observer for Binary Signal Detection Tasks by Use of Supervised Learning Methods 2019 Weimin Zhou
Hua Li
Mark A. Anastasio
2
+ PDF Chat Reaction-diffusion model for the growth of avascular tumor 2002 Silvio C. Ferreira
Marcelo L. Martins
M.J. Vilela
1
+ A simplified mathematical model of tumor growth 1986 John A. Adam
1
+ scikit-image: image processing in Python 2014 Stéfan van der Walt
Johannes L. Schönberger
Juan Nunez-Iglesias
François Boulogne
Joshua Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
1
+ Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling. 1961 F. N. David
Ingram Olkin
S. G. Ghurye
Wassily Hoeffding
William G. Madow
Henry B. Mann
1
+ Modeling Concordance Correlation via GEE to Evaluate Reproducibility 2001 Huiman X. Barnhart
John Williamson
1
+ The Norton–Simon hypothesis: designing more effective and less toxic chemotherapeutic regimens 2006 Richard Simon
Larry Norton
1
+ Mathematical models in cancer research 1988 T. E. Wheldon
1
+ PDF Chat A Mathematical Tumor Model with Immune Resistance and Drug Therapy: An Optimal Control Approach 2000 L. G. de Pillis
Ami Radunskaya
1
+ In-depth resolution for a strip source in the Fresnel zone 2001 Rocco Pierri
Angelo Liseno
Francesco Soldovieri
Raffaele Solimene
1
+ Analysis of rating data from multiple-alternative tasks 1989 Marie Foley Kijewski
Richard G. Swensson
Philip F. Judy
1
+ A nonlinear structured population model of tumor growth with quiescence 1990 Mats Gyllenberg
Glenn F. Webb
1
+ Evaluation of some mathematical models for tumor growth 1982 Vinay G. Vaidya
F.J. Alexandro
1
+ Metapopulation dynamics and spatial heterogeneity in cancer 2002 Isabel GonzĂĄlez-Garcı́a
Ricard V. Solé
José Costa
1
+ Testing Statistical Hypotheses of Equivalence 2002 Stefan Wellek
1
+ PDF Chat A multiscale mathematical model of cancer, and its use in analyzing irradiation therapies 2006 Benjamin Ribba
Thierry Colin
Santiago Schnell
1
+ PDF Chat Estimation in Medical Imaging without a Gold Standard 2002 Matthew A. Kupinski
John W. Hoppin
Eric Clarkson
Harrison H. Barrett
George A. Kastis
1
+ Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method data 1969 Donald D. Dorfman
Edward F. Alf
1
+ Continuous and Discrete Mathematical Models of Tumor-induced Angiogenesis 1998 Alexander R.A. Anderson
1
+ Small sample size effects in statistical pattern recognition: recommendations for practitioners 1991 Ơarƫnas Raudys
Anil K. Jain
1
+ PDF Chat On Maximum Likelihood Estimation in Infinite Dimensional Parameter Spaces 1991 Wing Hung Wong
Thomas A. Severini
1
+ PDF Chat Cancer heterogeneity: implications for targeted therapeutics 2013 Rosalie Fisher
Lajos Pusztai
Charles Swanton
1
+ Maximum Likelihood Reconstruction for Emission Tomography 1982 L. A. Shepp
Y. Vardi
1
+ The Clonal Evolution of Tumor Cell Populations 1976 Peter C. Nowell̀
1
+ PDF Chat On the histogram as a density estimator:L 2 theory 1981 David A. Freedman
Persi Diaconis
1