List of works - Liang Xiao

A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images

scientific article published in 2022

A Security Model and its Application to a Distributed Decision Support System for Healthcare

article

An automatic glioma grading method based on multi-feature extraction and fusion.

scientific article published on 26 May 2016

An improved variational level set method for MR image segmentation and bias field correction.

scientific article published on 7 December 2012

Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model.

scientific article published on 14 February 2017

Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei

scientific article published on 30 November 2015

Coarse Classification to Region-Scalable Refining for White Matter Lesions Segmentation in Multi-Channel MRI.

scientific article published on 20 December 2016

Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images

scientific article published on 18 July 2018

Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification

scientific article published in 2021

Fast Second Degree Total Variation Method for Image Compressive Sensing

scientific article published on 11 September 2015

GPU-accelerated Block Matching Algorithm for Deformable Registration of Lung CT Images

scientific article published on 01 December 2015

Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images

scientific article published in 2022

Hyperspectral imagery super-resolution by compressive sensing inspired dictionary learning and spatial-spectral regularization

scientific article

Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach.

scientific article published in May 2014

Iterative Directional Total Variation Refinement for Compressive Sensing Image Reconstruction

Learning Multiple Parameters for Kernel Collaborative Representation Classification

scientific article published on 17 January 2020

NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion

scientific article published in 2022

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out

scientific article published in 2022

Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal.

scientific article published on 15 December 2016

The design of an EHR for clinical decision support

Towards knowledge sharing and patient privacy in a clinical decision support system

Variational Bayesian method for Retinex.

scientific article published on 16 May 2014

List of works by Liang Xiao

A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images

A Security Model and its Application to a Distributed Decision Support System for Healthcare

An automatic glioma grading method based on multi-feature extraction and fusion.

An improved variational level set method for MR image segmentation and bias field correction.

Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model.

Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei

Coarse Classification to Region-Scalable Refining for White Matter Lesions Segmentation in Multi-Channel MRI.

Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images

Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification

Fast Second Degree Total Variation Method for Image Compressive Sensing

GPU-accelerated Block Matching Algorithm for Deformable Registration of Lung CT Images

Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images

Hyperspectral imagery super-resolution by compressive sensing inspired dictionary learning and spatial-spectral regularization

Image-based quantitative analysis of gold immunochromatographic strip via cellular neural network approach.

Iterative Directional Total Variation Refinement for Compressive Sensing Image Reconstruction

Learning Multiple Parameters for Kernel Collaborative Representation Classification

NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out

Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal.

The design of an EHR for clinical decision support

Towards knowledge sharing and patient privacy in a clinical decision support system

Variational Bayesian method for Retinex.