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2020 – today
- 2024
[i5]Rucha Deshpande, Varun A. Kelkar, Dimitrios S. Gotsis, Prabhat K. C., Rongping Zeng, Kyle J. Myers, Frank J. Brooks, Mark A. Anastasio:
Report on the AAPM Grand Challenge on deep generative modeling for learning medical image statistics. CoRR abs/2405.01822 (2024)- 2023
- [j6]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C.
, Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the Ability of Generative Adversarial Networks to Learn Canonical Medical Image Statistics. IEEE Trans. Medical Imaging 42(6): 1799-1808 (2023) - [c25]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Predictive accuracy of model observers in lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - [c24]Varun A. Kelkar, Dimitrios S. Gotsis, Rucha Deshpande, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Evaluating generative stochastic image models using task-based image quality measures. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - 2022
- [j5]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:
Development of metaverse for intelligent healthcare. Nat. Mac. Intell. 4(11): 922-929 (2022) - [c23]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:
Analyzing neural networks applied to an anatomical simulation of the breast. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [c22]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating procedures for establishing generative adversarial network-based stochastic image models in medical imaging. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - [i4]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Kyle J. Myers, Prabhat K. C., Rongping Zeng, Mark A. Anastasio:
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging. CoRR abs/2204.03547 (2022) - [i3]Varun A. Kelkar, Dimitrios S. Gotsis, Frank J. Brooks, Prabhat K. C., Kyle J. Myers, Rongping Zeng, Mark A. Anastasio:
Assessing the ability of generative adversarial networks to learn canonical medical image statistics. CoRR abs/2204.12007 (2022) - 2021
- [j4]Andreu Badal, Diksha Sharma, Christian G. Graff, Rongping Zeng, Aldo Badano:
Mammography and breast tomosynthesis simulator for virtual clinical trials. Comput. Phys. Commun. 261: 107779 (2021) - [c21]Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li:
Assessment of bone fragility in projection images using radiomic features. Medical Imaging: Computer-Aided Diagnosis 2021 - [i2]Chuang Niu, Ge Wang, Pingkun Yan, Juergen Hahn, Youfang Lai, Xun Jia, Arjun Krishna, Klaus Mueller, Andreu Badal, Kyle J. Myers, Rongping Zeng:
Noise Entangled GAN For Low-Dose CT Simulation. CoRR abs/2102.09615 (2021) - [i1]Prabhat K. C., Rongping Zeng, M. Mehdi Farhangi, Kyle J. Myers:
Deep neural networks-based denoising models for CT imaging and their efficacy. CoRR abs/2111.09539 (2021) - 2020
- [c20]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Human observer templates for lesion discrimination tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160U
2010 – 2019
- 2019
- [c19]Craig K. Abbey, Frank W. Samuelson, Rongping Zeng, John M. Boone, Miguel P. Eckstein, Kyle J. Myers:
Template models for forced-localization tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 1095206 - 2018
- [c18]Rongping Zeng, Congxian Jia, Nima Akhlaghi, Mahsa Torkaman, Brian S. Garra, Karen Alton, Rachel Brem, Tahira Ahmed, Richard Kaczmarek, Kyle J. Myers:
Measuring breast motion at multiple DBT compression levels using ultrasound speckle-tracking techniques. IWBI 2018: 107180L - 2016
- [c17]Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner:
Three scenarios of ranking inconsistencies involving search tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870U - [c16]Xin He, Rongping Zeng, Frank W. Samuelson, Berkman Sahiner:
Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870R - 2015
- [j3]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. 62(12): 2812-2827 (2015) - [c15]Qin Li, Marios A. Gavrielides, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Nicholas Petrick:
Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study. Medical Imaging: Computer-Aided Diagnosis 2015: 94140C - [c14]Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner:
Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. Medical Imaging: Computer-Aided Diagnosis 2015: 94141V - 2014
- [c13]Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick:
Seamless insertion of real pulmonary nodules in chest CT exams. Medical Imaging: Computer-Aided Diagnosis 2014: 90351K - 2013
- [c12]Qin Li, Rongping Zeng, Kyle J. Myers, Berkman Sahiner, Marios A. Gavrielides, Nicholas Petrick:
Relating Fisher Information to Detectability of Changes in Nodule Characteristics with CT. IPMI 2013: 584-593 - 2012
- [c11]Rongping Zeng, Subok Park, Predrag R. Bakic, Kyle J. Myers:
Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis? Digital Mammography / IWDM 2012: 346-353 - [c10]Rui Peng, Rongping Zeng, Eugene O'Bryan, Cecilia Marini-Bettolo, Berkman Sahiner, Kyle J. Myers, Robert J. Jennings:
An Experimental Comparison of Continuous Motion and Step-and-Shoot Modes in Digital Breast Tomosynthesis. Digital Mammography / IWDM 2012: 650-657 - 2011
- [c9]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:
Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. Medical Imaging: Computer-Aided Diagnosis 2011: 79630D - 2010
- [j2]Marios A. Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle J. Myers, Nicholas Petrick:
Information-Theoretic Approach for Analyzing Bias and Variance in Lung Nodule Size Estimation With CT: A Phantom Study. IEEE Trans. Medical Imaging 29(10): 1795-1807 (2010) - [c8]Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, B. Whiting, Sheng Lin-Gibson, Nicholas Petrick:
Micro CT based truth estimation of nodule volume. Medical Imaging: Computer-Aided Diagnosis 2010: 762414 - [c7]Rongping Zeng, Nicholas Petrick, Marios A. Gavrielides, Kyle J. Myers:
Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation. Medical Imaging: Computer-Aided Diagnosis 2010: 762415 - [c6]Marios A. Gavrielides, Lisa M. Kinnard, Kyle J. Myers, Rongping Zeng, Nicholas Petrick:
FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development. Medical Imaging: Computer-Aided Diagnosis 2010: 762417
2000 – 2009
- 2009
- [c5]Marios A. Gavrielides, Rongping Zeng, Lisa M. Kinnard, Kyle J. Myers, Nicholas Petrick:
A template-based approach for the analysis of lung nodules in a volumetric CT phantom study. Medical Imaging: Computer-Aided Diagnosis 2009: 726009 - 2008
- [c4]Lisa M. Kinnard, Marios A. Gavrielides, Kyle J. Myers, Rongping Zeng, Jennifer Peregoy, William F. Pritchard, John W. Karanian, Nicholas Petrick:
Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom. Medical Imaging: Computer-Aided Diagnosis 2008: 69152Q - 2007
- [j1]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration. IEEE Trans. Medical Imaging 26(2): 153-163 (2007) - [c3]Rongping Zeng, Jeffrey A. Fessler, James M. Balter, Peter A. Balter:
Iterative Sorting for 4dct Images Based on Internal Anatomy Motion. ISBI 2007: 744-747 - [c2]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
A simplified motion model for estimating respiratory motion from orbiting views. Medical Imaging: Image Processing 2007: 651240 - 2004
- [c1]Rongping Zeng, Jeffrey A. Fessler, James M. Balter:
Respiratory Motion Estimation From Slowly Rotating X-Ray Projections. ISBI 2004: 480-483
Coauthor Index
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