Subok Park

发表

Signal detection with random backgrounds and random signals

Subok Park, 2004 .

Investigation on location-dependent detectability of a small mass for digital breast tomosynthesis evaluation

Jongduk Baek, Subok Park, Changwoo Lee, 2016, SPIE Medical Imaging.

Singular system analysis of breast tomosynthesis systems for choosing projection angles

Rongping Zeng, Kyle J. Myers, Subok Park, 2010, Medical Imaging.

Human efficiency for detecting Gaussian signals in non-Gaussian distributed lumpy backgrounds using different display characteristics and scaling methods

Kyle J. Myers, Nicholas Petrick, Aldo Badano, 2006, SPIE Medical Imaging.

Is the Outcome of Optimizing the System Acquisition Parameters Sensitive to the Reconstruction Algorithm in Digital Breast Tomosynthesis?

Kyle J. Myers, Rongping Zeng, Predrag R. Bakic, 2012, Digital Mammography / IWDM.

Image browsing in slow medical liquid crystal displays.

Kyle J Myers, Aldo Badano, Hongye Liang, 2008, Academic radiology.

A contrast-sensitive channelized-Hotelling observer to predict human performance in a detection task using lumpy backgrounds and Gaussian signals

Kyle J. Myers, Aldo Badano, Subok Park, 2007, SPIE Medical Imaging.

SKE/BKE task-based methodology for calculating Hotelling observer SNR in mammography

Kyle J. Myers, Aldo Badano, Subok Park, 2009, Medical Imaging.

Model observer design for multi-signal detection in the presence of anatomical noise.

Subok Park, Gezheng Wen, Mia K Markey, 2017, Physics in medicine and biology.

Markov-chain Monte Carlo for the performance of a channelized-ideal observer in detection tasks with non-Gaussian lumpy backgrounds

Subok Park, Eric W Clarkson, 2008, SPIE Medical Imaging.

Using partial least squares to compute efficient channels for the Bayesian ideal observer

Kyle J. Myers, Subok Park, Joel M. Witten, 2009, Medical Imaging.

Ideal-Observer Performance under Signal and Background Uncertainty

Matthew A. Kupinski, Eric Clarkson, Subok Park, 2003, IPMI.

A Task-Specific Argument for Variable-Exposure Breast Tomosynthesis

Kyle J. Myers, Subok Park, Andreu Badal, 2012, Digital Mammography / IWDM.

Investigating the feasibility of using partial least squares as a method of extracting salient information for the evaluation of digital breast tomosynthesis

Kyle J. Myers, Subok Park, George Z. Zhang, 2013, Medical Imaging.

15.2: Distinguished Paper: Assessment of Temporal Blur‐Reduction Methods Using a Computational Observer that Predicts Human Performance

Kyle J. Myers, Aldo Badano, Hongye Liang, 2007 .

Noise and signal detection in digital x-ray detectors using the spatial definition of SNR

Kyle J. Myers, Aldo Badano, Subok Park, 2009, Medical Imaging.

Model observer for assessing digital breast tomosynthesis for multi-lesion detection in the presence of anatomical noise

Tamara Miner Haygood, Subok Park, Gezheng Wen, 2018, Physics in medicine and biology.

Two methods for simulation of dense tissue distribution in software breast phantoms

Kyle J. Myers, Rongping Zeng, Andrew D. A. Maidment, 2013, Medical Imaging.

Incorporating Human Contrast Sensitivity in Model Observers for Detection Tasks

Kyle J. Myers, Aldo Badano, Subok Park, 2009, IEEE Transactions on Medical Imaging.

A mathematical framework for including various sources of variability in a task-based assessment of digital breast tomosynthesis

Kyle J. Myers, Subok Park, Andreu Badal, 2012, Medical Imaging.

Comparing observer models and feature selection methods for a task-based statistical assessment of digital breast tomsynthesis in reconstruction space

Rongping Zeng, Kyle J. Myers, Subok Park, 2014, Medical Imaging.

A virtual trial framework for quantifying the detectability of masses in breast tomosynthesis projection data.

Kyle J Myers, Subok Park, Stefano Young, 2013, Medical physics.

Digital breast tomosynthesis for detecting multifocal and multicentric breast cancer: influence of acquisition geometry on model observer performance in breast phantom images

Mia K. Markey, Subok Park, Gezheng Wen, 2017, Medical Imaging.

Evaluating the sensitivity of the optimization of acquisition geometry to the choice of reconstruction algorithm in digital breast tomosynthesis through a simulation study.

Rongping Zeng, Subok Park, Predrag Bakic, 2015, Physics in medicine and biology.

A statistical, task-based evaluation method for three-dimensional x-ray breast imaging systems using variable-background phantoms.

Aldo Badano, Subok Park, Haimo Liu, 2010, Medical physics.

Partial Least Squares: A Method to Estimate Efficient Channels for the Ideal Observers

Kyle J. Myers, Subok Park, Joel M. Witten, 2010, IEEE Transactions on Medical Imaging.

Efficient estimation of ideal-observer performance in classification tasks involving high-dimensional complex backgrounds.

Eric Clarkson, Subok Park, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Effect of anatomical backgrounds on detectability in volumetric cone beam CT images

Jongduk Baek, Subok Park, Minah Han, 2016, SPIE Medical Imaging.

Eigenbreasts for statistical breast phantoms

Gregory M. Sturgeon, Joseph Y. Lo, Subok Park, 2016, SPIE Medical Imaging.

Singular Vectors of a Linear Imaging System as Efficient Channels for the Bayesian Ideal Observer

Kyle J. Myers, Subok Park, Joel M. Witten, 2009, IEEE Transactions on Medical Imaging.

Performance of a channelized-ideal observer using Laguerre-Gauss channels for detecting a Gaussian signal at a known location in different lumpy backgrounds

Kyle J. Myers, Matthew A Kupinski, Subok Park, 2006, SPIE Medical Imaging.

Performance Tradeoffs in a Model Breast Tomosynthesis System

Kyle J. Myers, Predrag R. Bakic, Subok Park, 2010 .

Model observer design for detecting multiple abnormalities in anatomical background images

Mia K. Markey, Subok Park, Gezheng Wen, 2016, SPIE Medical Imaging.

Efficiency of human and model observers for signal-detection tasks in non-Gaussian distributed lumpy backgrounds

Matthew A. Kupinski, Subok Park, Harrison H. Barrett, 2005, SPIE Medical Imaging.

Estimating breast tomosynthesis performance in detection tasks with variable-background phantoms

Kyle J. Myers, Predrag R. Bakic, Aldo Badano, 2009, Medical Imaging.

TU-CD-207-06: Effect of Reconstruction Methods On the Evaluation of Digital Breast Tomosynthesis (DBT) Acquisition Parameters Using Human and Model Observers

Rongping Zeng, Kyle J. Myers, Aldo Badano, 2015 .

Channelized Hotelling observers for the assessment of volumetric imaging data sets.

Ewout Vansteenkiste, Wilfried Philips, Aldo Badano, 2011, Journal of the Optical Society of America. A, Optics, image science, and vision.

Comparison of Channel Methods and Observer Models for the Task-Based Assessment of Multi-Projection Imaging in the Presence of Structured Anatomical Noise

Kyle J. Myers, George Zhang, Subok Park, 2016, IEEE Transactions on Medical Imaging.

Efficient channels for the ideal observer

Matthew A Kupinski, Subok Park, Harrison H. Barrett, 2004, SPIE Medical Imaging.

A practical method for measuring the H matrix of digital x-ray and cone beam CT imaging systems

Kyle J. Myers, Aldo Badano, Subok Park, 2006, SPIE Medical Imaging.

Singular vectors of a linear imaging system as efficient channels for the ideal observer in detection tasks involving non-Gaussian distributed lumpy images

Kyle J. Myers, Subok Park, Joel M. Witten, 2008, SPIE Medical Imaging.

A task-based evaluation method for x-ray breast imaging systems using variable-background phantoms

Kyle J. Myers, Aldo Badano, Subok Park, 2009, Medical Imaging.

Synthetic breast phantoms from patient based eigenbreasts

Subok Park, Joseph Y Lo, William Paul Segars, 2017, Medical physics.

Model Observers in Medical Imaging Research

Xin He, Subok Park, Xin He, 2013, Theranostics.

Assessment of display temporal response using a computational observer

Kyle J. Myers, Aldo Badano, Hongye Liang, 2008 .

Efficiency of the human observer detecting random signals in random backgrounds.

Eric Clarkson, Matthew A Kupinski, Harrison H Barrett, 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

Effect of slow display on stack-mode reading of volumetric image datasets using an anthropomorphic observer

Aldo Badano, Hongye Liang, Subok Park, 2007, SPIE Medical Imaging.

Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal.

Kyle J Myers, Eric Clarkson, Matthew A Kupinski, 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

Framework for determination of geometric parameters of a cone beam CT scanner for measuring the system response function and improved object reconstruction

Kyle J. Myers, Aldo Badano, Subok Park, 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..