Chichen Fu
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View article: DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data
DINAVID: A Distributed and Networked Image Analysis System for Volumetric Image Data Open
Background The advancement of high content optical microscopy has enabled the acquisition of very large 3D image datasets. Image analysis tools and three dimensional visualization are critical for analyzing and interpreting 3D image volume…
View article: Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images
Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images Open
Purpose: Fluorescence microscopy visualizes three-dimensional subcellular structures in tissue with two-photon microscopy achieving deeper penetration into tissue. Nuclei detection, which is essential for analyzing tissue for clinical and …
View article: Convolutional Neural Networks Based Texture Modeling For AV1
Convolutional Neural Networks Based Texture Modeling For AV1 Open
Modern video codecs including the newly developed AOMedia Video 1 (AV1) utilize hybrid coding techniques to remove spatial and temporal redundancy. However, efficient exploitation of statistical dependencies measured by a mean squared erro…
View article: Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images Open
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 segmentation. In this paper, a two-stage method for segmentation of n…
View article: Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation Open
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 characterize and analyze biological structures in the images and re…
View article: AV1 Video Coding Using Texture Analysis With Convolutional Neural Networks
AV1 Video Coding Using Texture Analysis With Convolutional Neural Networks Open
Modern video codecs including the newly developed AOM/AV1 utilize hybrid coding techniques to remove spatial and temporal redundancy. However, efficient exploitation of statistical dependencies measured by a mean squared error (MSE) does n…
View article: Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks Open
Due to the growing concern of chronic diseases and other health problems related to diet, there is a need to develop accurate methods to estimate an individual's food and energy intake. Measuring accurate dietary intake is an open research…
View article: Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction Open
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 structures remains a challenge due to their complexity which is…
View article: Tubule Segmentation of Fluorescence Microscopy Images Based on Convolutional Neural Networks With Inhomogeneity Correction
Tubule Segmentation of Fluorescence Microscopy Images Based on Convolutional Neural Networks With Inhomogeneity Correction Open
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 structures remains a challenge due to their complexity which is…
View article: Texture Segmentation Based Video Compression Using Convolutional Neural Networks
Texture Segmentation Based Video Compression Using Convolutional Neural Networks Open
There has been a growing interest in using different approaches to improve the coding efficiency of modern video codec in recent years as demand for web-based video consumption increases. In this paper, we propose a model-based approach th…
View article: Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation Open
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 characterize and analyze biological structures in the images and re…
View article: Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks.
Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks. Open
Recent advance in fluorescence microscopy enables acquisition of 3D image volumes with better quality and deeper penetration into tissue. Segmentation is a required step to characterize and analyze biological structures in the images. 3D s…
View article: Four Dimensional Image Registration for Intravital Microscopy
Four Dimensional Image Registration for Intravital Microscopy Open
Increasingly the behavior of living systems is being evaluated using intravital microscopy since it provides subcellular resolution of biological processes in an intact living organism. Intravital microscopy images are frequently confounde…