Stephanie J. Chiu, PhD
Duke University
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Welcome to the home page for Stephanie J. Chiu

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I recently graduated from Duke University with a Ph.D. in Biomedical Engineering. Prior to graduate school, I received my B.S.E. degree in Biomedical Engineering at Duke in 2007, then spent two years at Microsoft working on Windows 7 as a Software Development Engineer in Test.

Currently at Duke, my research interests include the image processing of medical images to aid researchers in their studies of diseases. Under the advisement of Professor Sina Farsiu and co-advisors Joseph Izatt and Cynthia Toth, my focus is on the development of novel algorithms to automatically segment ophthalmic structures imaged using Optical Coherence Tomography systems.

I work in close collaboration with the Duke Eye Center so the algorithms we develop can be used in ophthalmic studies to more efficiently process clinical data. This is exciting because it gives our medical collaborators the resources necessary to analyze ocular diseases on a larger scale, bringing us one step closer towards the attainment of earlier diagnoses and ultimately better patient vision.  

Select Journal Publications

From 2013
AOSLO Photoreceptor Segmentation
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Automatic cone photoreceptor segmentation using graph theory and dynamic programming

S.J. Chiu, Y.V. Lokhnygina, A.M. Dubis, A. Dubra, J. Carroll, J.A. Izatt, S. Farsiu
Biomedical Optics Express. Vol. 4, No. 6, pp. 924-937, June 2013.
Link to  Publication
Download Full Dataset
From 2012
Closed-Contour Segmentation
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Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming

S.J. Chiu, C.A. Toth, C. Bowes Rickman, J.A. Izatt, S. Farsiu
Biomedical Optics Express. Vol. 3, No. 5, pp. 1127-1140, April 2012.
Link to  Publication
Download Full Dataset
AMD Retinal Layer Segmentation
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Validated automatic segmentation of AMD pathology including drusen and geographic atrophy in SDOCT images

S.J. Chiu, J.A. Izatt, R.V. O’Connell, K.P. Winter, C.A. Toth, S. Farsiu
Investigative Ophthalmology & Visual Science. Vol. 53, No. 1, pp. 53-61, January 2012.  
Link to Publication
Download Full Dataset
From 2011 
Pediatric Retinal Layer Segmentation
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Dynamics of human foveal development after premature birth 

R.S. Maldonado, R.V. O’Connell, N. Sarin, S.F. Freedman, D.K. Wallace, M.C. Cotten, K.P. Winter, S.Stinnett, S.J. Chiu, J. A. Izatt, S. Farsiu, C. A. Toth
American Academy of Ophthalmology. Vol. 118, Number 12, pp. 2315-2325, December 2011. 
Link to Publication
Corneal Layer Segmentation
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Robust automatic segmentation of corneal layer boundaries in SDOCT images using graph theory and dynamic programming

F. LaRocca, S.J. Chiu, R.P. McNabb, A.N. Kuo, J.A. Izatt, S. Farsiu 
Biomedical Optics Express. Vol. 2, No. 6, pp. 1524-1538, June 2011. 
Link to Publication
From 2010 
Normal Retinal Layer Segmentation
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Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation


S.J. Chiu, X.T. Li, P. Nicholas, C.A. Toth, J.A. Izatt, S. Farsiu
Optics Express. Vol. 18, No. 18, pp. 19413-19428, August 2010. 
Link to Publication
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