Mr. Evan S. McCreedy Profile

Evan S. McCreedy

at National Institutes of Health

SPIE Involvement:

Author

Publications (12)

SPIE Journal Paper | 5 June 2019

Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections

Ruida Cheng, Nathan Lay, Holger Roth, Baris Turkbey, Dakai Jin, William Gandler, Evan McCreedy, Tom Pohida, Peter Pinto, Peter Choyke, Matthew McAuliffe, Ronald Summers

JMI, Vol. 6, Issue 02, 024007, (June 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.2.024007

KEYWORDS: Image segmentation, Prostate, Magnetic resonance imaging, 3D modeling, 3D image processing, Convolution, Image resolution, Binary data, Image enhancement, Clouds

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SPIE Journal Paper | 21 August 2017

Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks

Ruida Cheng, Holger Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan McCreedy, Thomas Pohida, Peter Pinto, Peter Choyke, Matthew McAuliffe, Ronald Summers

JMI, Vol. 4, Issue 04, 041302, (August 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.041302

KEYWORDS: Prostate, Image segmentation, Magnetic resonance imaging, Binary data, Magnetism, Performance modeling, 3D modeling, Image enhancement, Image filtering, Edge detection

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Proceedings Article | 24 February 2017 Paper

Automatic MR prostate segmentation by deep learning with holistically-nested networks

Ruida Cheng, Holger Roth, Nathan Lay, Le Lu, Baris Turkbey, William Gandler, Evan McCreedy, Peter Choyke, Ronald Summers, Matthew McAuliffe

Proceedings Volume 10133, 101332H (2017) https://doi.org/10.1117/12.2254558

KEYWORDS: Convolutional neural networks, Prostate, Image segmentation, Magnetic resonance imaging, Neural networks, Machine learning, Pattern recognition, Binary data, 3D image processing, 3D modeling, Image filtering

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Proceedings Article | 29 March 2016 Paper

Patellar segmentation from 3D magnetic resonance images using guided recursive ray-tracing for edge pattern detection

Ruida Cheng, Jennifer Jackson, Evan McCreedy, William Gandler, J. J. F. A. Eijkenboom, M. van Middelkoop, Matthew McAuliffe, Frances Sheehan

Proceedings Volume 9788, 97880C (2016) https://doi.org/10.1117/12.2217232

KEYWORDS: Image segmentation, 3D image processing, Magnetism, Edge detection, Bone, Statistical analysis, Image analysis, Machine learning, Pattern recognition, Magnetic resonance imaging, Image processing algorithms and systems, Image filtering, 3D modeling, Digital filtering

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Proceedings Article | 21 March 2016 Paper

Active appearance model and deep learning for more accurate prostate segmentation on MRI

Ruida Cheng, Holger Roth, Le Lu, Shijun Wang, Baris Turkbey, William Gandler, Evan McCreedy, Harsh Agarwal, Peter Choyke, Ronald Summers, Matthew McAuliffe

Proceedings Volume 9784, 97842I (2016) https://doi.org/10.1117/12.2216286

KEYWORDS: Image segmentation, 3D modeling, Prostate, Magnetic resonance imaging, Machine learning, 3D image processing, Pattern recognition, Image analysis, Data modeling, Principal component analysis, Statistical modeling, Cancer

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Proceedings Article | 10 March 2015 Paper

An imaging and analysis toolset for the study of Caenorhabditis elegans neurodevelopment

Ryan Christensen, Alexandra Bokinsky, Anthony Santella, Yicong Wu, Javier Marquina, Ismar Kovacevic, Abhishek Kumar, Peter Winter, Evan McCreedy, William Mohler, Zhirong Bao, Daniel Colón-Ramos, Hari Shroff

Proceedings Volume 9334, 93340C (2015) https://doi.org/10.1117/12.2082394

KEYWORDS: Nose, Imaging systems, Neurons, Nervous system, Microscopes, Algorithm development, Data modeling, 3D modeling, Image resolution, Visualization

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Proceedings Article | 15 March 2013 Paper

Java multi-histogram volume rendering framework for medical images

Justin Senseney, Alexandra Bokinsky, Ruida Cheng, Evan McCreedy, Matthew McAuliffe

Proceedings Volume 8671, 86712J (2013) https://doi.org/10.1117/12.2006980

KEYWORDS: Volume rendering, Visualization, Medical imaging, OpenGL, Java, Opacity, 3D modeling, Image processing, Tissues, Biomedical optics

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Proceedings Article | 13 March 2013 Paper

2D registration guided models for semi-automatic MRI prostate segmentation

Ruida Cheng, Baris Turkbey, Justin Senseney, Marcelino Bernardo, Alexandra Bokinsky, William Gandler, Evan McCreedy, Thomas Pohida, Peter Choyke, Matthew McAuliffe

Proceedings Volume 8669, 86692V (2013) https://doi.org/10.1117/12.2006225

KEYWORDS: Image segmentation, Prostate, Image registration, Magnetic resonance imaging, Binary data, Image filtering, Image processing algorithms and systems, 3D modeling, Image enhancement, Diffusion

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Proceedings Article | 17 March 2008 Paper

Java based volume rendering frameworks

Ruida Cheng, Alexandra Bokinsky, Paul Hemler, Evan McCreedy, Matthew McAuliffe

Proceedings Volume 6918, 691804 (2008) https://doi.org/10.1117/12.770529

KEYWORDS: Volume rendering, Visualization, Java, Opacity, Composites, OpenGL, Computer programming, Ray tracing, Image quality, 3D image processing

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Proceedings Article | 15 March 2006 Paper

Vasculature segmentation for radio frequency ablation of non-resectable hepatic tumors

Paul Hemler, Evan McCreedy, Ruida Cheng, Brad Wood, Matthew McAuliffe

Proceedings Volume 6144, 61443K (2006) https://doi.org/10.1117/12.649990

KEYWORDS: Image segmentation, Liver, Blood vessels, Tumors, Radiofrequency ablation, Digital filtering, Tissues, Image filtering, Diffusion, 3D image processing

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Proceedings Article | 10 March 2006 Paper

Assessment of radio frequency of hepatic tumors

Paul Hemler, Evan McCreedy, Ruida Cheng, Brad Wood, Matthew McAuliffe

Proceedings Volume 6141, 61412F (2006) https://doi.org/10.1117/12.649988

KEYWORDS: Tumors, Image registration, Radiofrequency ablation, Tissues, Liver, Computed tomography, Visualization, Image segmentation, Manufacturing, 3D image processing

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Proceedings Article | 12 May 2004 Paper

Performance evaluation of multiscale vessel enhancement filtering

Paul Hemler, Evan McCreedy, Matthew McAuliffe

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535675

KEYWORDS: Blood vessels, Liver, Image segmentation, 3D image processing, Computer simulations, Image filtering, Image enhancement, Computed tomography, Radiofrequency ablation, Gaussian filters

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Showing 5 of 12 publications

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