Respiratory Motion Estimation From Slowly Rotating X-Ray Projections. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (ISBI, 2004)

Iterative Sorting for 4dct Images Based on Internal Anatomy Motion. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter; Peter A. Balter (ISBI, 2007)

A simplified motion model for estimating respiratory motion from orbiting views. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (Image Processing, 2007)

Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration. - Rongping Zeng; Jeffrey A. Fessler; James M. Balter (IEEE Trans. Medical Imaging, 2007)

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)

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)

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. - Nicholas Petrick; Hyun J. Grace Kim; David A. Clunie; Kristin Borradaile; Robert Ford; Rongping Zeng; Marios A. Gavrielides; Michael F. McNitt-Gray; Charles Fenimore; Z. Q. John Lu; Binsheng Zhao; Andrew J. Buckler (Computer-Aided Diagnosis, 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)

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)

Seamless insertion of real pulmonary nodules in chest CT exams. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (Computer-Aided Diagnosis, 2014)

Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Computer-Aided Diagnosis, 2015)

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)

Seamless Insertion of Pulmonary Nodules in Chest CT Images. - Aria Pezeshk; Berkman Sahiner; Rongping Zeng; Adam Wunderlich; Weijie Chen 007; Nicholas Petrick (IEEE Trans. Biomed. Eng., 2015)

Three scenarios of ranking inconsistencies involving search tasks. - Xin He; Frank W. Samuelson; Rongping Zeng; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. - Xin He; Rongping Zeng; Frank W. Samuelson; Berkman Sahiner (Image Perception, Observer Performance, and Technology Assessment, 2016)

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)

Assessment of bone fragility in projection images using radiomic features. - Qian Cao; Nicholas Petrick; Stephanie Coquia; Kenny H. Cha; Rongping Zeng; Keith Wear; Berkman Sahiner; Qin Li 018 (Computer-Aided Diagnosis, 2021)

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)

Mammography and breast tomosynthesis simulator for virtual clinical trials. - Andreu Badal; Diksha Sharma; Christian G. Graff; Rongping Zeng; Aldo Badano (Comput. Phys. Commun., 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)

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)

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)

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)

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)

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)

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)

Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection. - Prabhat K. C.; Rongping Zeng (CoRR, 2024)