Rongping Zeng - RankMe

38 papers B 1Journal 13Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	sFRC for assessing hallucinations in medical image restoration. CoRR Prabhat K. C., Rongping Zeng, Nirmal Soni, Aldo Badano
2024	J	`jnl`	Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection. CoRR Prabhat K. C., Rongping Zeng
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
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`	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`	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
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
2021	—	`conf`	Assessment of bone fragility in projection images using radiomic features. Computer-Aided Diagnosis Qian Cao, Nicholas Petrick, Stephanie Coquia, Kenny H. Cha, Rongping Zeng, Keith Wear, Berkman Sahiner, Qin Li
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`	Mammography and breast tomosynthesis simulator for virtual clinical trials. Comput. Phys. Commun. Andreu Badal, Diksha Sharma, Christian G. Graff, Rongping Zeng, Aldo Badano
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
2016	—	`conf`	Ranking inconsistencies in the assessment of digital breast tomosynthesis (DBT) reconstruction algorithms using a location-known task and a search task. Image Perception, Observer Performance, and Technology Assessment Xin He, Rongping Zeng, Frank W. Samuelson, Berkman Sahiner
2016	—	`conf`	Three scenarios of ranking inconsistencies involving search tasks. Image Perception, Observer Performance, and Technology Assessment Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
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
2015	—	`conf`	Potential reasons for differences in CAD effectiveness evaluated using laboratory and clinical studies. Computer-Aided Diagnosis Xin He, Frank W. Samuelson, Rongping Zeng, Berkman Sahiner
2015	J	`jnl`	Seamless Insertion of Pulmonary Nodules in Chest CT Images. IEEE Trans. Biomed. Eng. Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, Nicholas Petrick
2014	—	`conf`	Seamless insertion of real pulmonary nodules in chest CT exams. Computer-Aided Diagnosis Aria Pezeshk, Berkman Sahiner, Rongping Zeng, Adam Wunderlich, Weijie Chen, 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`	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	—	`conf`	Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging. Computer-Aided Diagnosis 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
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
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
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	B	`conf`	A simplified motion model for estimating respiratory motion from orbiting views. Image Processing Rongping Zeng, Jeffrey A. Fessler, James M. Balter
2007	J	`jnl`	Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration. IEEE Trans. Medical Imaging Rongping Zeng, Jeffrey A. Fessler, James M. Balter
2007	—	`conf`	Iterative Sorting for 4dct Images Based on Internal Anatomy Motion. ISBI Rongping Zeng, Jeffrey A. Fessler, James M. Balter, Peter A. Balter
2004	—	`conf`	Respiratory Motion Estimation From Slowly Rotating X-Ray Projections. ISBI Rongping Zeng, Jeffrey A. Fessler, James M. Balter