Xiaohong W. Gao

发表

Classification of CT brain images based on deep learning networks

Xiaohong W. Gao, Zengmin Tian, Rui Hui, 2017, Comput. Methods Programs Biomed..

Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra.

J. Marsh, Xiaohong W. Gao, L. Hou, 2020, Optics express.

Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning

Xiaohong W. Gao, Jichuan Xiong, Xuefeng Liu, 2022, Optics Communications.

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

Xiaohong W. Gao, Carl James-Reynolds, Edward Currie, 2020, Neurocomputing.

24 The Application of Neutral Vision Models to the Detection of Illusory Shapes for Trademark Images

J. Eakins, Xiaohong W. Gao, Xiaohong W. Gao, 2005 .

Image retrieval through perceptual shape modelling.

Xiaohong W. Gao, Pamela Briggs, John P. Eakins, 2001 .

Vision Models Based Identification of Traffic Signs

Xiaohong W. Gao, Kunbin Hong, Lubov Podladchikova, 2002, CGIV.

Road Sign Recognition by Single Positioning of Space-Variant Sensor Window

Xiaohong W. Gao, Alexander V. Golovan, D. G. Shaposhnikov, 2002 .

An Enhanced Deep Learning Architecture for Classification of Tuberculosis Types From CT Lung Images

Xiaohong W. Gao, Richard Comley, Maleika Heenaye-Mamode Khan, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Felix Y Zhou, Mohammad Azam Khan, Shadi Albarqouni, 2020, Scientific Reports.

A fused deep learning architecture for viewpoint classification of echocardiography

Wei Li, Martin Loomes, Xiaohong Gao, 2017, Inf. Fusion.

A collection of benchmark images for traffic sign research

Xiaohong W. Gao, Xiaohong W. Gao, Xiaohong W. Gao, 2011, 2011 17th International Conference on Digital Signal Processing (DSP).

Application of Vision Models to Traffic Sign Recognition

Xiaohong W. Gao, Lubov Podladchikova, Dmitry Shaposhnikov, 2003, ICANN.

Detection of human papillomavirus (HPV) from super resolution microscopic images applying a texture transformer network

X. Wen, Xuefeng Liu, Weiping Liu, 2022, Medical Imaging.

A deep learning based approach to classification of CT brain images

Xiaohong W. Gao, Rui Hui, R. Hui, 2016, 2016 SAI Computing Conference (SAI).

Content-based Retrieval of 3D Medical Images

Xiaohong W. Gao, Yu Qian, Richard Comley, 2011 .

TEXTURE-BASED 3D IMAGE RETRIEVAL FOR MEDICAL APPLICATIONS

Xiaohong W. Gao, Y. Qian, R. Hui, 2010 .

Classification of artefacts in endoscopic images using deep neural network

Nuzhah Gooda Sahib, Maleika Heenaye-Mamode Khan, S. Baichoo, 2022, 2022 3rd International Conference on Next Generation Computing Applications (NextComp).

Artificial intelligence in endoscopy: The challenges and future directions

Barbara Braden, Xiaohong Gao, B. Braden, 2021, Artificial Intelligence in Gastrointestinal Endoscopy.

Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos

Barbara Braden, Wei Pang, Xiaohong Gao, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Recognition of traffic signs based on their colour and shape features extracted using human vision models

Xiaohong W. Gao, Kunbin Hong, Lubov Podladchikova, 2006, J. Vis. Commun. Image Represent..

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

Irina Voiculescu, Xiaohong W. Gao, Danail Stoyanov, 2021, Medical Image Anal..

A translational pathway of deep learning methods in GastroIntestinal Endoscopy pdf

Irina Voiculescu, Xiaohong W. Gao, Sharib Ali, 2020, ArXiv.