Xiaohong W. Gao

Orcid: 0000-0002-8103-6624

According to our database1, Xiaohong W. Gao authored at least 36 papers between 2000 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time.
Inf. Fusion, April, 2023

An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification.
Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023

2022
COVID-VIT: Classification of Covid-19 from 3D CT chest images based on vision transformer model.
Proceedings of the 3rd International Conference on Next Generation Computing Applications, 2022

Early detection of oesophageal cancer through colour contrast enhancement for data augmentation.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022

Detection of human papillomavirus (HPV) from super resolution microscopic images applying a texture transformer network.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy.
Medical Image Anal., 2021

Evaluation of GAN Architectures For Visualisation of HPV Viruses From Microscopic Images.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture.
Neurocomputing, 2020

A translational pathway of deep learning methods in GastroIntestinal Endoscopy.
CoRR, 2020

Transfer Learning For Endoscopy Disease Detection & Segmentation With Mask-RCNN Benchmark Architecture.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

Artefact Detection and Segmentation based on a Deep Learning system.
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy, 2020

2019
Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Analysing TB Severity Levels with an Enhanced Deep re-sidual Learning - Depth-Resnet.
Proceedings of the Working Notes of CLEF 2018, 2018

2017
A fused deep learning architecture for viewpoint classification of echocardiography.
Inf. Fusion, 2017

Classification of CT brain images based on deep learning networks.
Comput. Methods Programs Biomed., 2017

Application of Deep Learning Neural Network for Classification of TB lung CT Images based on Patches.
Proceedings of the Working Notes of CLEF 2017, 2017

2016
A new approach to image enhancement for the visually impaired.
Proceedings of the Color Imaging XXI: Displaying, 2016

2015
The Application of KAZE Features to the Classification Echocardiogram Videos.
Proceedings of the Multimodal Retrieval in the Medical Domain, 2015

2014
Feature wise representation for both still and motion 3D medical images.
Proceedings of the 2014 Southwest Symposium on Image Analysis and Interpretation, 2014

2013
3D CBIR with sparse coding for image-guided neurosurgery.
Signal Process., 2013

2012
The Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from Echocardiogram Videos.
Proceedings of the Medical Content-Based Retrieval for Clinical Decision Support, 2012

Colour based image retrieval with embedded chromatic contrast.
Proceedings of the 6th European Conference on Colour in Graphics, Imaging, and Vision, 2012

2011
A collection of benchmark images for traffic sign research.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

2008
Colour Vision Model-Based Approach for Segmentation of Traffic Signs.
EURASIP J. Image Video Process., 2008

From medical imaging to medical informatics.
Comput. Methods Programs Biomed., 2008

Toward a Robust System to Monitor Head Motions during PET Based on Facial Landmark Detection: A New Approach.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
A Fast Approach to Segmentation of PET Brain Images for Extraction of Features.
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007

Prototype System for Semantic Retrieval of Neurological PET Images.
Proceedings of the Medical Imaging and Informatics, 2nd International Conference, 2007

2006
Recognition of traffic signs based on their colour and shape features extracted using human vision models.
J. Vis. Commun. Image Represent., 2006

Medical imaging and telemedicine - from medical data production, to processing, storing, and sharing: A short outlook.
Comput. Medical Imaging Graph., 2006

2003
Application of Vision Models to Traffic Sign Recognition.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Vision Models Based Identification of Traffic Signs.
Proceedings of the First European Conference on Colour in Graphics, Imaging, and Vision, 2002

2001
Extraction of Sagittal Symmetry Planes from Pet Images.
Proceedings of the IASTED International Conference on Visualization, 2001

A method of vessel tracking for vessel diameter measurement on retinal images.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Quantification and characterisation of arteries in retinal images.
Comput. Methods Programs Biomed., 2000


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