activity
20182021
most citedThree Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

76 citations · 113 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2021★ 1 cited

RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images

Liming Wu, Shuo Han, Alain Chen +3

Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images. Existing automated nuclei localization…

q-bio.QM2020

Low-Rank Reorganization via Proportional Hazards Non-negative Matrix Factorization Unveils Survival Associated Gene Clusters

Zhi Huang, Paul Salama, Wei Shao +2

One of the central goals in precision health is the understanding and interpretation of high-dimensional biological data to identify genes and markers associated with disease initi…

eess.IV2019★ 5 cited

Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images

David Joon Ho, Shuo Han, Chichen Fu +3

Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue. An important step in the characterization of tissue involves nuclei segmentati…

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…