Scholars@Duke
Somayyeh Soltanian-zadeh

Somayyeh Soltanian-zadeh

Affiliate
Biomedical Engineering

Selected Publications

Identifying retinal pigment epithelium cells in adaptive optics-optical coherence tomography images with partial annotations and superhuman accuracy.

Journal Article Biomedical optics express · December 2024 Retinal pigment epithelium (RPE) cells are essential for normal retinal function. Morphological defects in these cells are associated with a number of retinal neurodegenerative diseases. Owing to the cellular resolution and depth-sectioning capabilities, i ... Full text Cite

BiconNet: An Edge-preserved Connectivity-based Approach for Salient Object Detection.

Journal Article Pattern recognition · January 2022 Salient object detection (SOD) is viewed as a pixel-wise saliency modeling task by traditional deep learning-based methods. A limitation of current SOD models is insufficient utilization of inter-pixel information, which usually results in imperfect segmen ... Full text Cite

Segmentation of Neurons from Fluorescence Calcium Recordings Beyond Real-time.

Journal Article Nature machine intelligence · July 2021 Fluorescent genetically encoded calcium indicators and two-photon microscopy help understand brain function by generating large-scale in vivo recordings in multiple animal models. Automatic, fast, and accurate active neuron segmentation is critical ... Full text Cite

Weakly supervised individual ganglion cell segmentation from adaptive optics OCT images for glaucomatous damage assessment.

Journal Article Optica · May 2021 Cell-level quantitative features of retinal ganglion cells (GCs) are potentially important biomarkers for improved diagnosis and treatment monitoring of neurodegenerative diseases such as glaucoma, Parkinson's disease, and Alzheimer's disease. Yet, due to ... Full text Cite

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

Conference Progress in Biomedical Optics and Imaging - Proceedings of SPIE · January 1, 2020 Quantitative features of individual ganglion cells (GCs) are potential paradigm changing biomarkers for improved diagnosis and treatment monitoring of GC loss in neurodegenerative diseases like glaucoma and Alzheimer's disease. The recent incorporation of ... Full text Cite

Hybrid light-sheet and light-field microscope for high resolution and large volume neuroimaging.

Journal Article Biomedical optics express · December 2019 Large scale simultaneous recording of fast patterns of neural activity remains challenging. Volumetric imaging modalities such as scanning-beam light-sheet microscopy (LSM) and wide-field light-field microscopy (WFLFM) fall short of the goal due to their c ... Full text Cite

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning.

Journal Article Proceedings of the National Academy of Sciences of the United States of America · April 2019 Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for d ... Full text Cite

Information-Theoretic Approach and Fundamental Limits of Resolving Two Closely Timed Neuronal Spikes in Mouse Brain Calcium Imaging.

Journal Article IEEE transactions on bio-medical engineering · November 2018 ObjectiveAlthough optical imaging of neurons using fluorescent genetically encoded calcium sensors has enabled large-scale in vivo experiments, the sensors' slow dynamics often blur closely timed action potentials into indistinguishable transients ... Full text Cite