(2024)
- MM Auzine, MHM Khan, S Baichoo, NG Sahib, P Bissoonauth-Daiboo, XW Gao, Z Heetun, Development of an ensemble CNN model with explainable AI for the classification of gastrointestnial cancner , PLOS ONE 19(6): e0305628.
- X Zhang, G Cui, X Tuan, D. Cui, X.W. Gao, Q. Chen, Y Yao, M Megosa, S Sueeprasan : Spectral reflectance reconstruction based on wideband multi-illuminant imaging and a modified particle swarm optimization algorithm, Optics Express, 32(3):2942-2958, 2024. (IF=3.83)
(2023)
- Xiaohong W. Gao , Stephen Taylor, Wei Pang,Rui Hui,Xin Lu, Oxford GI Investigators,Barbara Braden, Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time , Information Fusion 92(2023):64-79. (IF=17.564)
- M. Eastwood, S. Marc, H. Sailem,X. W. Gao , J. Offman, E. Karteris, A. Fernandez, D. Jonigk, W. Cookson, M. Moffatt, S. Popat, F. Minhas, J.L. Robertus, MesoGraph: Automatic profiling of mesothelioma subtypes from histological imagese(2023) , Cell Reports Medicine, 4(10):101226, 2023 (IF=16.988)
- M. Eastwood, S. Marc, X.W. Gao , H. Sailem, J. Offman, E. Karteris, A. Fernandez, D. Jonigk, W. Cookson, M. Moffatt, S. Popat, F. Minhas, J.L. Robertus, Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data, Artificial Intelligence in Medicine(2023), 143:102628. (IF=7.5)
-Gao, X.W., Wen X, Li D, Liu W, Xiong J, Xu B, Liu J, Zhang H, Liu Xn, Identification of Human Papillomavirus from Super-Resolution Microscopic Images Generated Using Deep Learning Architectures , . In: Wani, M.A., Palade , V. (eds) Deep Learning Applications, Volume 4, pp1-20, Advances in Intelligent Systems and Computing, vol 14349. Springer Nature, 2023.
- S. Marc, R. Belavkin, D. Windridge, X.W. Gao , An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification 9th International Conference on machine Learning, Optimization & Data science–LOD2023 & 3rd International Advanced Course & Symposium on Artificial Intelligence & Neuroscience–ACAIN2023 (LOD-ACAIN) ,Sept. 2023, Lake District, UK.
- S. Marc, R. Belavkin, D. Windridge, X.W. Gao, , An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification , 6th International Conference on the Dynamics of Information Systems (DIS2023), Sept. 2023, Prague, Czech Republic.
- F. Alzazah, X. Cheng, X.W. Gao, Predict Market Fluctuations Based on the TSI and the Sentiment of Financial Video News Sites via Machine Learning, 15th International Conference on Computer and Automation Engineering (ICCAE), Sydney, Australia, 2023, pp. 302-308, doi: 10.1109/ICCAE56788.2023.10111493.
- X Zhang, G. Cui, X, Tuan, Q. Chen, D. Cui, X.W. Gao, Y Yuan, Improved Bare bones particle swarm optimization based on Cauchy distribution and its application in spectral reconstruction , ICCIA 2023, June 2023, Haikou, China. .
- MM Auzine, MHM Khan, S Baichoo, P Bissoonauth-Daiboo, Z Heetun, XW Gao, Explainable AI For Colorectal Lesion Classification Using Deep Learning Models With Attention Mechanism , 2023 The 7th International Conference on Advances in Artificial Intelligence (ICAAI 2023), Istanbul, Turkey, Oct 2023, pp. 117-121.
- P Bissoonauth-Daiboo, MHM Khan, MM Auzine, S Baichoo, XW Gao, Z Heetun, Endoscopic Image classification with Vision Transformers , 2023 The 7th International Conference on Advances in Artificial Intelligence (ICAAI 2023), Istanbul, Turkey, Oct 2023, pp. 128-132.
(2022)
- H Zhao, B Ni, X Jin, H Zhang, J Hou, L Hou, JH. Marsh, L Dong, S Li, XW Gao, D Shi, X Liu, J Xiong, Gold-viral particle identification by deep learning in wide-field photon scattering parametric images, Appl. Opt. 61:546-553, 2022. (IF=1.961)
- XW Gao, Khan M, Hui R, Tian Z Qia Y, Baichoo S, Alice Gao, COVID-VIT: classification of Covid-19 from 3D CT chest images based on vision transformer model, 3rd International Conference on Next Generation Computing Applications (NextComp), 06-08 Oct 2022, Mauritius.
- XW Gao, X Wen, D Li, W Liu, J Xiong, B Xu, J Liu, H Zhang, X Liu, Detection of human papillomavirus (HPV) from super resolution microscopic images applying a texture transformer network, SPIE Medical Imaging 2022, 20-24 Feb. 2022, San Diego, USA.
- XW Gao , S Taylor, W Pang, X Lu, B Braden, Early detection of oesophageal cancer through colour contrast enhancement for data augmentation, SPIE Medical Imaging 2022, 20-24 Feb. 2022, San Diego, USA.
- M. Eastwood, ST Marc, XW. Gao , H Sailem, J Offman, E Karteris, AM Fernandez, D Jonigk, W Cookson, M Moffatt, S Popat, F Minhas, JL Robertus, Malignant Mesothelioma Subtyping of Tissue Images via Sampling Driven Multiple Instance Prediction, AIME 2022, pp263-272, 2022.
- F. Alzazah, X. Cheng, XW. Gao , Predict Market Movements Based on the Sentiment of Financial Video News Sites, 2022 IEEE 16th International Conference on Semantic Computing (ICSC), Laguna Hills, CA, USA, 2022, pp. 103-110, doi: 10.1109/ICSC52841.2022.00022.
- MM Auzine, P Bissoonauth-Daiboo, MHM Khan, S Baichoo, NG Sahib, XW Gao, Classification of Artefacts in Endoscopic Images using Deep Neural Network, IEEE NextComp 2022, Mauritius.
- MM Auzine, P Bissoonauth-Daiboo, MHM Khan, S Baichoo, NG Sahib, XW Gao, Endoscopic Image Analysis Using Deep Convolutional GAN and Traditional Data Augmentation, 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, 2022, pp. 1-6.
(2021)
- Xiaohong W. Gao, Alice Gao COVID-CBR: A Deep Learning Architecture Featuring Case-Based Reasoning for Classification of COVID-19 from Chest X-Ray Images, ICMLA 2021, Virtual, Dec 13-16, 2021.
- Xiaohong W. Gao, Xuesong Wen,Dong Li, Weiping Liu,Jichuan Xiong, Bin Xu, Juan Liu, Heng Zhang, Xuefeng Liu, Evaluation of GAN architectures for visualisation of HPV viruses from microscopic images, ICMLA 2021, Virtual, Dec 13-16, 2021.
- Hanwen Zhao, Bin Ni, WeiPing Liu, Xiao Jin, Heng Zhang, Xiaohong W. Gao, Xuesong Wen, Daming Shi, Lei Dong, Jichuan Xiong, Xuefeng Liu, Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning, Optics Communications; 2021 in press [DOI: https://doi.org/10.1016/j.optcom.2021.127463].
- Xiaohong W. Gao, Barbara Braden, Artificial intelligence in endoscopy: The challenges and future directions, Artif Intell Gastrointest Endosc 2021; 2(4): 117-126 [DOI: 10.37126/aige.v2.i4.117].
- Maleika Heenaye-Mamode Khan, Nazmeen Boodoo-Jahangeer, Wasiimah Dullull, Shaista Nathire, Xiaohong Gao , G. R. Sinha, Kapil Kumar Nagwanshi, Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN), PLOS ONE 16(8):e0256500, [DOI: 10.1371/journal.pone.0256500].
- Sharib Ali, Mariia Dmitrieva, Noha Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Le Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James East, Jens Rittscher,,
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy,
Medical Image Analysis, 70(2021) 102002, 2021.
- Weiping Liu, Jichuan Xiong, Libo Zhu, Shengwei Ye,
Hanwen Zhao, Juan Liu, Heng Zhang, Lianping Hou,
John H. Marsh, Lei Dong, Xiaohong W. Gao, Daming
Shi, Xuefeng Liu,
Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra
,
Optical Express, 29(2): 1221-1231, 2021.
(2020)
- Xiaohong (Sharon) Gao, Comley, Richard A. and Khan, Maleika Heenaye-Mamode ,
An enhanced deep learning architecture for classification of Tuberculosis types from CT lung images,
IEEE International Conference on Image Processing (ICIP). In: ICIP 2020: 27th IEEE International Conference on Image Processing,, 25-28 Oct 2020, Abu Dhabi, Unites Arab Emirates (Virtual Conference).
- Xiaohong (Sharon) Gao, Barbara Braden,
Artefact Detection and Segmentation based on a Deep Learning system,
Proceedings of the 2nd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2020), Iowa, USA, 3rd April, 2020.
- Shahadate Rezvy, Tahmina Zebin, Barbara Braden, Wei Pang, Stephen Taylor, Xiaohong W Gao,
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 (EndoCV2020), Iowa, USA, 3rd April, 2020.
- Sharib Ali,Felix Zhou Barbara Braden, Adam Bailey, Suhui Yang, Guanju Cheng, Pengyi Zhang, Xiaoqiong Li, Maxime Kayser, Roger D. Soberanis-Mukul, Shadi Albarqouni, Xiaokang Wang, Chunqing Wang, Seiryo Watanabe, Ilkay Oksuz, Qingtian Ning, Shufan Yang, Mohammad Azam Khan, Xiaohong W. Gao, Stefano Realdon, Maxim Loshchenov, Julia A Schnabel, James East, Georges Wagni`eres, Victor Loschenov, Enrico Grisan, Christian Dau, Walter Blonde, and Jens Rittscher,
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
,
Nature Scientific Reports, 10, Article number: 2748 (2020).
(2019)
Gao, Xiaohong W., , Carl James-Reynolds, Edward Currie,
Analysis of Tuberculosis Severity Levels From CT Pulmonary Images Based on Enhanced Residual Deep Learning Architecture,
NeuroComputing, 392:233-244,2020.
Gao, Xiaohong W., , Barbara Braden, Steven Taylor, Wei Pang,
Towards Real-Time Detection of Squamous Pre-Cancers from Oesophageal Endoscopic Videos,
, IEEE 18th International Conference on Machine Learning and Application, (ICMLA 2019), December 16-19, 2019, Boca Raton, USA 2019.
Gao, XW, , Braden B, Zhang L, Taylor S, Pang W, Petridis M,
Case-based Reasoning of a Deep Learning Network for Prediction of Early Stage of Oesophageal Cancer
, UKCBR 2019, in AI-2019, Cambridge, 2019.
Gao, Xiaohong W., , Qian, Yu,
Patch-based Deep Learning Approaches For Artefact Detection Of Endoscopic Images,
, EAD2019, EAD Challenge: Multi-class Artefact Detection in Video Endoscopy,CEUR Workshop Processings, Vol-2366, 2019.
(2018)
Gao, X., Li, W., Loomes M., Qian, Y, Lin C., Huang L., Wang. Li (book chapter),
, The state of the art echocardiography and its viewpoint classifications, in El-Baz and Suri eds.,
Cardiovascular Imaging and Image Analysis,
CRC publisher, Tayloe&Francis Group, London/New York, pp:253-282, 2018.
Gao, X., James-Reynolds, C., Currie, E., Scoring TB severity with an enhanced deep residual learning depth-resnet,
In: CLEF2018 Working Notes. CEUR Workshop Proceedings,
Avignon, France, CEUR-WS.org (http://ceur-ws.org, September 10-14, 2018) .
Gao, X., Quan, Y., Prediction of
multi-drug resistant TB from CT pulmonary Images based on deep learning
techniques, Molecular Pharmaceutics, 2018, 15(10) : 4326-4335. (IF=4.556)
Gao, X., Quan, Y., Segmentation
of brain lesions from CT images based on deep learning techniques, SPIE Medical Imaging,, Houston, USA, 10-15 February, 2018. .
(2017)
Gao, X., Quan, Y., Application of Deep Learning
Neural Network for Classification of TB lung CT Images based on Patches, CLEF 2017 CEUR Working Notes, Vol-1866, 2017 (Top 1 in accuracy in TB
classificaiton (five classes) competition). .
Gao, X., Hui R., Tian Z., Classification of CT images based on deep learning
networks, Computer Methods and
Programs in Biomedicine, 138:49-56, 2017.(IF=2.503) 3D-CT-DATA(106MB)
(for research only)
Gao
X., Li W., M. Loomes, Wang Li.,
A
fused deep learning architecture for
viewpoint classification of echocardiography, Information Fusion, 36:103-113, 2017, (IF=5.667). Echocardiography-video-DATA(363MB)
(for research only)
(2016)
Gao, X., Loomes M. (2016), A new approach to image enhancement for the visually impaired, Electronic Imaging 2016 (EI2016), February 2016, San Francisco, USA.
Gao, X., R. Hui (2016), A deep learning based approach to classification of CT brain images, IEEE SAI 2016, London, July 13-15, 2016.
(2015)
Gao
X., Y. Wang, Y. Qian, A. Gao, Modelling of chromatic contrast for
retrieval of wallpaper images, Color Research and Application, 40(4):361-373,
2015. (PDF)
(Data and program code).
(IF=0.847)
Gao X, E. Khodamoradi, L. Guo, X. Yang, S. Tang, W. Guo, Y.
Wang, Evaluation of Colour Appearances
Displaying on Smartphones, AIC2015, pp 539-544, 2015. (PDF)
W. Li, Y. Qian, M. Loomes, X. Gao, The application of KAZE feature to the classification of
Echocardiogram videos, MRMD 2015, LNCS
9059, pp.61-72, 2015 (PDF).
Huyck C., Augusto J., Botia J.A. X. Gao, Advancing ambient assisted living with caution, In: Communications
in Computer and Information Science (CCIS)
578, 19-32, Springer, 2015
(2014)
Gao X, Feaure-wise
representation for both still and motion 3D medical images, 2014 IEEE Southwest
Symposium on Image Analysis and Interpretation (SSIAI), San Diego, USA,
2014, pp. 1-4. (PDF).
(2013)
Y. Qian, R. Hui, X. Gao, Retrieval of 3D surgical path based on sparse coding for
image-guided neurosurgery, Signal Processing, 93(6), pp1673-1683, 2013. (PDF)
(IF=2.06)
Y. Qian, L. Wang, C. Wang, X. Gao, The
Synergy of 3D SIFT and Sparse Codes for Classification of Viewpoints from
Echocardiogram Videos, in H. Greenspan et al. (Eds.): MCBR-CDS 2012, LNCS 7723, pp. 68–79,
Springer, 2013. (PDF)
A.
Gao, W. Li, M. Loomes, C. Lin, X. Gao,
Cardiac Motion Reconstruction Using LKT
Algorithm from 2D and 3D Echocardiography, WorldComp 2013,
Las Vegas. USA. (PDF)
(2012).
Gao X., Y. Qian, MIRAGE: An E-repository of Medical Images for
Learning Biomedical Informatics, eTELEMED
2012 : The Fourth International Conference on eHealth, Telemedicine, and Social
Medicine, 2012, pp.209-214.
Gao X., Y. Qian, M.
Loomes, R. Comley, B. Barn, A. Chapman, J. Rix,
R. Hui, Z. Tian, Retrieval
of 3D Medical Images via Their Texture Features, International , International
Journal On Advances in Software, 2011 no 3&4, 2012.
Gao X., Loomes M., Comley
R., (Book
Chapter), Bridging the Abridged – the
Diffusion of Telemedicine in Europe and China, in Rodrigues, Díez, Sainz
eds., Telemedicine and E-Health Services, Policies and Applications:
Advancements and Developments, pp 451-495, IGI Global,
2012.
Gao X., Y. Qian, Y. Wang, A. White, Colour based image retrieval
with embedded chromatic contrast, IS&T’s 6th European Conference
on Colour in Graphics, Imaging (CGIV 2012), May 6-9,
2012, Amsterdam, Netherland.
(2011)
Gao X.W., The anatomy of
Tele-neurosurgery in China, International Journal of Telemedicine and
Applications, Volume 2011, Article ID 353405, 2011. DOI:10.1155/2011/353405.
Gao X. W., Y. Qian, R. Hui, The
state of the art of medical imaging technology: from creation to archive and
back, The Open Medical Informatics Journal, 2011, 5 (Suppl
1) 73-85.
Gao X. W., H. Muller, T. Deserno, Integration of Medical Images in the
Digital Hospital, The Open Medical Informatics Journal, 2011, 5 (Suppl 1) 17-18.
Gao X. W., A
Collection of benchmark images for traffic sign research, IEEE 17th
Internaltional Conference on Digital Signal
Processing (DSP 2011), July 6-8, 2011, Corfu, Greece.
Y. Wang, A. White, A. Gao, Gao X. W., Colour
Contrast Revisit, AIC 2011, June, 2011, Zurich, Switzerland.
Y. Qian, Gao X. W., M. Loomes, R. Comley, B. Barn,
R. Hui, Z. Tian, (best paper award), Content based image retrieval of 3D
images, The Third
International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED
2011, Guadeloupe, France,
February, 2011.
(2010)
Gao, X.W., Y. Qian, M. Loomes, R. Comley,
B. Barn, A. Chapman, J. Rix, Texture-based 3D image
retrieval for medical applications, IADIS e-Health2010, Freiburg, Germany,
29-31, July 2010.
Gao, X.W., Hassan,
M., Application of mesh morphing techniques in modelling 3D objects, CGAT 2010, Singapore, April 6-7, 2010.
S.
Anishenko, D. Shaposhnikov, R. Comley, Gao,
X.W., A colour based approach for
face segmentation from video images under low luminance levels, CGIM 2010,
Innsbruck, Austria, February 17-19, 2010.
(2009)
Gao, X.W., R, Hui, Z. Tian., A, White, A new approach to estimation of non-isotropic
scale factors for correction of MR distortions, International Journal of
Computer Assisted Radiology and Surgery, 4 (s1): s349-350, 2009.
(2008)
Gao, X.W.,
Kunbin Hong, Lubov Podladchikova, Dmitry Shaposhnikov, and
Batty, S.,
Clark, J., Fryer T., Gao, X.W., Prototype System for Semantic
Retrieval of Neurological PET Images, LNCS 4987, pp179-188, 2008.
Gao,
X.W., J. Clark,
A fast, robust approach to Segmentation of PET brain
images, LNCS 4987, pp197-206, 2008.
(2007)
Gao
X.W., S. Anishenko, D. Shaposhnikov, L. Podladchikova, S.
Batty, J. Clark, High-precision Detection of Facial Landmarks to
Estimate Head Motions Based on Vision Models, Journal of Computer
Science, 3(7):528-532, 2007.
Gao,
X.W., S. Batty, L. Posladchikova, D. Shaposhnikov, J. Clark, Detection of head motions using a
vision model, Proceedings of 3rd IASTED International Conference on
Telehealth, Montreal, Canada, pp 167-171, 2007.
(2006)
Gao
X.W., L. Podladchikova, D.
Shaposhnikov, Recognition
of traffic signs based on their colour and shape features extracted using human
vision models, Journal of Visual Communication and Image
Representation, 17:675-685, 2006.
Gao,
X.W., The State of Art of Medical Displays (plenary speech), EuroPacs, Trodheim, Norway, June
14-16, 2006.
Gao, X.W., Telemedicine in
(2005)
Gao,
X.W., Birhane,
D., Clark, J., Application of Geodesic Active Contours to the segmentation of
lesions of PET(Positron Emission Tomography) Images, Proceedings of
International Conference on Medical Imaging and Telemedicine,
(ISBN:1-85924-252-9), pp45-50, 2005.
Bstty, S., Gao,
X.W., Clark J., Fryer, T., Content-based Retriveal
of PET images via Localised Anaotmical texture
measurements and mean activity levels, Proceedings of International Conference
on Medical Imaging and Telemedicine, (ISBN:1-85924-252-9), pp70-74, 2005.
He, P., Gao,
X.W., Colour reproduction for tele-imaging systems, Proceedings of
International Conference on Medical Imaging and Telemedicine, (ISBN:1-85924-252-9), pp79-84, 2005.
(2004)
Gao X.W., Colour Management in Telemedicine, Proceedings
of the 7th IASTED International Conference Computer Graphics and
Imaging, Hawaii, USA, pp361-364, 2004.
(2003)
Shaposhnikov D.G., Podladchikova L.N., Gao, X.W., Classification of Images on the Basis of the Properties of
Informative Regions, Pattern Recognition and Image Analysis, 13(2): 349-352,
2003.
Gao, X.W., Podladchikova, L., Shaposhnikov, D., Application
of Vision Models for Traffic Sign Recognition,
Lecture Notes in Computer Science (ICANN/ICONIP’2003), 2714, 1100-1105,
2003 (ISBN 3-540-40408-2).
Gao, X.W, .Qian Y., Tully T., Hendon Z., Towards Archiving wallpaper Images, Proceedings of the 7th IASTED International
Conference Computer Graphics and Imaging, 305-309, 2003.
Shaposhnikov D.G., Golovan A.V., Podladchikova
L.N., Shevtsova N.A., Gao, X.W., Gusakova V.I., Gizatdinova Y.F., Application of the Behavioral
Model of Vision for Invariant Recognition of Facial and Traffic Sign Images,
Neurocomputers and Their Application, Book 7. Neurocomputers
in Image Processing Systems (Eds, Yu.V. Gulaev, A.I Galushkin), Chapter 4.4., Radiothecnics
Publishing, Moscow, 126-144, 2003.
(2002)
Shaposhnikov D.G., Golovan A.V., Podladchikova
L.N., Shevtsova N.A., Gao, X.W., Gusakova V.I., Gizatdinova Y.F., Application of the Behavioral
Model of Vision for Invariant Recognition of Facial and Traffic Sign Images,
Neurocomputers: Design and Application, No 7-8, 21-33, 2002.
Gao, X.W., Shevtsova, N., Hong, K., Batty, S.,
Podladchikova L., Golovan, A., Shaposhnikov D., Gusakova,
V., A New Approach to Traffic Sign Recognition, CISST'02 (The 2002
International Conference on Imaging Science, Systems, and Technology),
Gao,
X.W., Shevtsova,
N., Hong, K., Batty, S., Podladchikova L., Golovan, A., Shaposhnikov D., Gusakova, V., Vision Models-based Identification of Traffic
Signs, CGIV '2002, First European Conference on Color
in Graphics, Image and Vision, 2002.
Gao,
X.W., Golovan A., Hong, K., Podladchikova L.N., Shaposhnikov
D.G., Shevtsova, N., Road Sign Recognition by Means
of the Behavioral Model of Vision, Third All-Russian
Conference on Neuroinformatics, pp63-69, Moskow, Russia, January 23-25, 2002, (ISBN 5-7262-0399-2).
Shaposhnikov,D.G., Podladchikova,L.N.,
Gao, X.W., Image Classification
Based on the Informative Regions Properties, Proceedings of the 6th
International Conference on Pattern Recognition and Image Analysis: New
Information Technologies, 439-441,2002.
Shaposhnikov,D.G., Podladchikova,L.N.,
Shevtsova, N.A., Golovan,A.V.,
Gao, X.W., Invariant Recognition of
Traffic Signs, Proceedings of Anniversary International Conference on
Neurocybernetics,158-163, 2002.
Batty, S., Fryer, T., Clark, J., Turkheimer, F., Gao, X.W., Extraction of Physiological Information from 3D PET Brain
Images, VIIP'2002 (Visualization, Imaging and Image Processing), 401-405, 2002.
Batty, S., Clark J., Fryer, T., Turkheimer,
F., Gao, X.W., Towards Archiving 3D
PET Brain Images Based on Their Physiological and Visual Content, ICDIA 2002
(Proceedings of International Conference on Diagnostic Imaging and Analysis),
188-193, 2002.
Batty, S., Clark, J., Fryer, T., Gao, X.W., Extraction of Features from
3D PET Images, Medical Image Understanding and Analysis 2002, 22-23 July 2002,
The University of Portsmouth, Portsmouth, U.K..
Shaposhnikov,D.G., Podladchikova,
L.N.,Golovan,A.V.,Shevtsova,N.A., Hong, K., Gao,X.W., Road Sign Recognition by One
Fixation of Space-Variant Sensor, 15th International Conference on Vision
Interface, VI2002, May 27-29, 2002, Calgary, Canada.
Batty, S., Clark, J., Fryer, T., Blandford,
A., Gao, X.W., Content- based
Retrieval of Lesioned Brain Images from a Database of PET Scans, SPIE on
Medical Imaging, 4685, 128-136, 2002.
(2001)
Chapman, N., Witt, N., Gao, X.W., Bharath, A., Stanton,A., Thom,
S.A., Hughes, A., Computer Algorithms for the Automated Measurement of Retinal Arteriolar
Diameters, British Journal of Ophthalmology , 85, 74-79, 2001 (ISSN
0007-1161).
Gao,
X.W., Batty, S., Clark, J.,
Fryer, T., Blandford, A., Extraction of Sagittal Symmetry Planes from PET
Images, Proceedings of the IASTED International Conference on Visualization,
Imaging, and Image Processing (VIIP'2001), pp 428-433, ACTA Press, 2001.
Gao,
X.W., Bharath, A.,
Gao,
X.W., Bharath, A., Stanton,A., Hughes, A., Chapman, N., Thom, S., Measurement
of Vessel Diameters on Retinal for Cardiovascular Studies, Medical Image
Understanding and Analysis 2001, The University of Birmingham, 16-17th July,
2001.
Ren, M., Gao, X.W., Riley. K.J., Eakins, J.P., Briggs, P., Image Retrieval Through Perceptual Shape Modelling, Library and Information
Commission Research Report 101, Resource: The Council for Libraries, Archives
and Museums, 2001, (ISBN 1902394607, ISSN 1466-2949), 75 pages.
(Before 2001)
Gao, X.W., Bharath, A.,
Thom, S., Gao, X.W., Stanton, A., Chapman, N., Bharath, A., Hughes, A., A
Computer System for Automatically Retinal Microvascalar
Architecture Quantification (abstract), J. Hypertens.,
16(suppl 2), s106, 1998.
Luo, M.R., Gao X.W., Scrivener, S.A.S, Quantifying Colour Appearance - Part V.
Simultaneous Contrast, Color Research and
Application, 20, 18-28, 1995.
Luo, M.R., Gao, X.W., Phodes, P.A., Xin, H.J.,
Luo, M.R., Gao, X.W., Phodes, P.A., Xin, H.J.,
Gao,
X.W., Colour Reproduction for
E-commerce Systems, (invited talk), in Proceedings of SSGRR 2000 Computer &
E-business Conference, I'Aquila, Rome, Italy, July
31-August 6, 2000, (ISBN: 88-85280-52-8).
Gao,
X.W., Ramsden, A., Adams, R.,
Development of a Specific Electronic Library System for Visually Imparied Users, "Proceedings of Eighteenth IASTED
International Conference on Applied Informatics", M.H. Hamza ed.,
Innsbruck, Austria, February 2000, pp588-591.
Gao,
X.W., Bharath, A., Stanton,A., Hughes, A., Chapman, N., Thom, S., Towards
Computerisation of Retinal Vessel Image Analysis, Prodeedings
of SPIE's International Symposium on Medical Imaging 1997, in K.M. Hanson ed.,
3034, 734-744, 1997.
Gao, X.W., Eakins, J., The Application of Neural Vision Medels
to the Detection of Illusory Shapes of Trademark Images, the "Fourth
International Conference on Cognitive and Neural Systems", May 2000,
(Proceedings/speical issues
Editor or Guest Editor)
1. Gao,
X.W., Müller H., Loomes M., Comley R., Luo S., Lecture Notes in Computer
Science, volume 4987, Springer, 2008.
2. Müller H., Gao, X.W., Luo S., Special Issue of Computer Methods and Programs in
Biomedicine, 92(3), 2008.
3. Müller H., Gao, X.W., Lin C., Special Issue of Computerised Medical Imaging and
Graphics, Volume 30, Issues 6-7, 2006.
4. Gao, X.W., Lin C., Tully C., Proceedings of Medical Imaging and
Telemedicine (MIT2005), Wuyi, China, 2005 (ISBN:1-85924-252-9).
5. Gao, X.W., Luo S., Zhou G., Proceedings
of Medical Imaging and Informatics (MIMI2007), Beijing, China, 2007 (ISBN:
978-1-85924-204-9).