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Sebastian Echegaray
PhD Candidate/Rsrch Assistant
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Author
Publications (5)
SPIE Journal Paper | 14 March 2020 Open Access
Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines
Sarah Mattonen, Dev Gude, Sebastian Echegaray, Shaimaa Bakr, Daniel Rubin, Sandy Napel
JMI, Vol. 7, Issue 04, 042803, (March 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.4.042803
KEYWORDS: Image segmentation, Feature extraction, Machine learning, Process modeling, Medical imaging, Image processing, Cancer, 3D image processing, Imaging systems, Image analysis
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SPIE Journal Paper | 21 August 2017
Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study
Shaimaa Bakr, Sebastian Echegaray, Rajesh Shah, Aya Kamaya, John Louie, Sandy Napel, Nishita Kothary, Olivier Gevaert
JMI, Vol. 4, Issue 04, 041303, (August 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.4.041303
KEYWORDS: Tumors, Computed tomography, Quantitative analysis, Feature extraction, Statistical modeling, Image segmentation, Performance modeling, Arteries, Liver, Medical imaging
SPIE Journal Paper | 18 November 2015
Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma
Sebastian Echegaray, Olivier Gevaert, Rajesh Shah, Aya Kamaya, John Louie, Nishita Kothary, Sandy Napel
JMI, Vol. 2, Issue 04, 041011, (November 2015) https://doi.org/10.1117/12.10.1117/1.JMI.2.4.041011
KEYWORDS: Image segmentation, Tumors, Computed tomography, Feature extraction, Liver, Wavelets, Image processing, Statistical analysis, Medical imaging, Image processing algorithms and systems
Proceedings Article | 15 March 2011 Paper
Quantitative and qualitative image quality analysis of super resolution images from a low cost scanning laser ophthalmoscope
Proceedings Volume 7962, 79624T (2011) https://doi.org/10.1117/12.878113
KEYWORDS: Image quality, Lawrencium, Image resolution, Super resolution, Scanning laser ophthalmoscopes, Scanning laser ophthalmoscopy, Cameras, Image processing, Image analysis, Retinal scanning
Proceedings Article | 5 March 2011 Paper
Fast localization of optic disc and fovea in retinal images for eye disease screening
H. Yu, S. Barriga, C. Agurto, S. Echegaray, M. Pattichis, G. Zamora, W. Bauman, P. Soliz
Proceedings Volume 7963, 796317 (2011) https://doi.org/10.1117/12.878145
KEYWORDS: Image segmentation, Gold, Eye, Detection and tracking algorithms, Databases, Image processing algorithms and systems, Algorithm development, Biomedical optics, Retina, Image quality standards
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