76 citations · 113 across the 6 of their papers we have counts for
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cs.CV2019★ 18 cited
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Soonam Lee, Shuo Han, Paul Salama +2
Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy. Fluorescence microscopy image volumes inherently suffer from…
cs.CV2018★ 13 cited
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Soonam Lee, Chichen Fu, Paul Salama +2
Fluorescence microscopy has become a widely used tool for studying various biological structures of in vivo tissue or cells. However, quantitative analysis of these biological stru…
cs.CV2018★ 76 cited
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
Chichen Fu, Soonam Lee, David Joon Ho +4
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue. Segmentation is a required step to characte…