Dr. Somayyeh Soltanian-Zadeh Profile

Dr. Somayyeh Soltanian-Zadeh

at Duke Univ

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Author

Publications (4)

Proceedings Article | 15 March 2023 Presentation + Paper

Dual modality handheld adaptive optics optical coherence tomography probe for in vivo 3-D photoreceptor imaging

Kristen Hagan, Jongwan Park, Theodore DuBose, Somayyeh Soltanian-Zadeh, Al-Hafeez Dhalla, Anthony Kuo, Ryan McNabb, Joseph Izatt, Sina Farsiu

Proceedings Volume 12360, 123600D (2023) https://doi.org/10.1117/12.2648479

KEYWORDS: Adaptive optics, Optical coherence tomography, Biomedical optics, Adaptive optics optical coherence tomography, Scanning laser ophthalmoscopes, In vivo imaging, Ophthalmology, Scanning laser ophthalmoscopy, Retinal scanning, Retina

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Proceedings Article | 7 March 2022 Presentation

First handheld adaptive optics optical coherence tomography probe for in vivo imaging of photoreceptors

Kristen Hagan, Jongwan Park, Theodore DuBose, Somayyeh Soltanian-Zadeh, Gar Waterman, Al-Hafeez Dhalla, Anthony Kuo, Ryan McNabb, Joseph Izatt, Sina Farsiu

Proceedings Volume 11941, 119410A (2022) https://doi.org/10.1117/12.2609182

KEYWORDS: Adaptive optics optical coherence tomography, Optical coherence tomography, Imaging systems, Adaptive optics, Image resolution, Cones, Wavefront sensors, Visualization, Tissues, Spectroscopy

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Proceedings Article | 19 February 2020 Paper

Fully automatic quantification of individual ganglion cells from AO-OCT volumes via weakly supervised learning

Somayyeh Soltanian-Zadeh, Kazuhiro Kurokawa, Zhuolin Liu, Daniel Hammer, Donald Miller, Sina Farsiu

Proceedings Volume 11218, 112180Q (2020) https://doi.org/10.1117/12.2543964

KEYWORDS: Adaptive optics optical coherence tomography, Image segmentation, Optical coherence tomography, Retina, Machine learning, Adaptive optics, In vivo imaging

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Proceedings Article | 29 March 2016 Paper

Investigating the relationship between subjective drug craving and temporal dynamics of the default mode network, executive control network, and salience network in methamphetamine dependents using rsfMRI

Somayyeh Soltanian-Zadeh, Gholam-Ali Hossein-Zadeh, Alireza Shahbabaie, Hamed Ekhtiari

Proceedings Volume 9788, 978826 (2016) https://doi.org/10.1117/12.2217214

KEYWORDS: Functional magnetic resonance imaging, Brain, Cognitive neuroscience, Canonical correlation analysis, Simulation of CCA and DLA aggregates, Functional imaging, Machine learning, Matrices, Statistical analysis, Medical research, Neuroimaging

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