Rongping Zeng

According to our database, Rongping Zeng authored at least 34 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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, June, 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

Proceedings of the Medical Imaging 2023: Image Perception, 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

Proceedings of the Medical Imaging 2023: Image Perception, 2023

2022

Development of metaverse for intelligent healthcare.

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

Nat. Mac. Intell., November, 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

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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

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

Noise Entangled GAN For Low-Dose CT Simulation.

Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng

CoRR, 2021

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Human observer templates for lesion discrimination tasks.

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers

Proceedings of the Medical Imaging 2020: Image Perception, 2020

2019

Template models for forced-localization tasks.

Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers

Proceedings of the Medical Imaging 2019: Image Perception, 2019

2018

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

Proceedings of the 14th International Workshop on Breast Imaging, 2018

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

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

Three scenarios of ranking inconsistencies involving search tasks.

Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner

Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016

2015

Seamless Insertion of Pulmonary Nodules in Chest CT Images.

Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick

IEEE Trans. Biomed. Eng., 2015

Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study.

Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies.

Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

2014

Seamless insertion of real pulmonary nodules in chest CT exams.

Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014

2013

Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT.

Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick

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?

Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers

Proceedings of the Breast Imaging, 2012

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

Proceedings of the Breast Imaging, 2012

2011

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

Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

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

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

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 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

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

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

Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, 2010

2009

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

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.

Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy, William F. Pritchard, John W. Karanian, Nicholas Petrick

Proceedings of the Medical Imaging 2008: Computer-Aided Diagnosis, San Diego, 2008

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

A simplified motion model for estimating respiratory motion from orbiting views.

Rongping Zeng, Jeffrey A. Fessler, James M. Balter

Proceedings of the Medical Imaging 2007: Image Processing, 2007

Iterative Sorting for 4dct Images Based on Internal Anatomy Motion.

Rongping Zeng, Jeffrey A. Fessler, James M. Balter, Peter A. Balter

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2004

Respiratory Motion Estimation From Slowly Rotating X-Ray Projections.

Rongping Zeng, Jeffrey A. Fessler, James M. Balter

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004