A motion correction system for brain tomography based on biologically motivated models

Conference paper

Anishenko, S., Osinov, V., Shaposhnikov, D., Podladchikova, L., Comley, R., Sukholentsev, K. and Gao, X. 2008. A motion correction system for brain tomography based on biologically motivated models. 7th IEEE International Conference on Cybernetic Intelligent Systems. London, UK 09 - 10 Sep 2008 IEEE. pp. 26-30 https://doi.org/10.1109/UKRICIS.2008.4798949
TypeConference paper
TitleA motion correction system for brain tomography based on biologically motivated models
AuthorsAnishenko, S., Osinov, V., Shaposhnikov, D., Podladchikova, L., Comley, R., Sukholentsev, K. and Gao, X.
Abstract

A motion correction system for brain tomography is presented, which employs two calibrated video cameras and three vision models (CIECAM'97, RETINA, and BMV). The system is evaluated on the pictures monitoring a subjects head while simulating PET scanning (n=12) and on the face images of subjects with different skin colours (n=31). The results on 2D images with known moving parameters show that motion parameters of rotation and translation along X, Y, and Z directions can be obtained very accurately via the method of facial landmark detection. A feasibility study of the developed algorithms is evaluated by a computer simulation of brain scanning procedures.

Conference7th IEEE International Conference on Cybernetic Intelligent Systems
Page range26-30
Proceedings Title2008 7th IEEE International Conference on Cybernetic Intelligent Systems
ISBN
Paperback9781424429141
PublisherIEEE
Publication dates
PrintSep 2008
Online06 Mar 2009
Publication process dates
Deposited06 Aug 2026
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/UKRICIS.2008.4798949
Scopus EID2-s2.0-64949140322
Web of Science identifierWOS:000265482700005
Web address (URL) of conference proceedingshttp://doi.org/10.1109/CIS14000.2008
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/z32v8

Log in to edit
  • 7
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning
Gao, X., Rahmanti, A. and Braden, B. 2026. Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning. SN Computer Science. 7. https://doi.org/10.1007/s42979-026-05142-x
Comparative assessment of ChatGPT, DeepSeek, and human reviewers for full-text screening in systematic reviews on the impact of air pollution in respiratory diseases
Manullang, A., Gao, X., Viavattene, C. and Rahmanti, A.R. 2025. Comparative assessment of ChatGPT, DeepSeek, and human reviewers for full-text screening in systematic reviews on the impact of air pollution in respiratory diseases. Bramer, M. and Stahl, F. (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 478-484 https://doi.org/10.1007/978-3-032-11442-6_39
Exploring vision transformers and explainable AI for enhanced artefact classification in esophageal endoscopic images
Bissoonauth-Daiboo, P., Auzine, M.M., Inshal, M., Shannaq, F., Saba, T. and Gao, X. 2025. Exploring vision transformers and explainable AI for enhanced artefact classification in esophageal endoscopic images. IEEE Access. 13, pp. 176221-176244. https://doi.org/10.1109/ACCESS.2025.3616796
Early detection of lung cancer using a convolutional neural network integrating multidimensional clinical information
Chien, C.-H., Chang, S.-C., Muhtar, M.S., Gao, X., Chang, Y.-C. and Li, Y.-C. 2025. Early detection of lung cancer using a convolutional neural network integrating multidimensional clinical information. in: Househ, M.S., Tariq, Z.U.A., Al-Zubaidi, M., Shah, U. and Huesing, E. (ed.) MEDINFO 2025 - Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics IOS Press. pp. 548-552
ChatEndoscopist: a domain-specific chatbot with images for gastrointestinal diseases
Rahmanti, A.R. and Gao, X. 2025. ChatEndoscopist: a domain-specific chatbot with images for gastrointestinal diseases. in: Andrikopoulou, E., Gallos, P., Arvanitis, T.N., Austin, R., Benis, A., Cornet, R., Chatzistergos, P., Dejaco, A., Dusseljee-Peute, L., Mohasseb, A., Natsiavas, P., Nakkas, H. and Scott, P. (ed.) Intelligent Health Systems – From Technology to Data and Knowledge: Proceedings of MIE 2025 IOS Press. pp. 843-847
3D view reconstruction from endoscopic videos for gastrointestinal tract surgery planning
Gao, X., Rahmanti, A. and Braden, B. 2025. 3D view reconstruction from endoscopic videos for gastrointestinal tract surgery planning. Kim, J., Conceição, R., Yousef, M., Bhavsar, A., Pelayo, S., Fred, A. and Gamboa, H. (ed.) 18th International Joint Conference on Biomedical Engineering Systems and Technologies. Porto, Portugal 20 - 22 Feb 2025 SCITEPRESS - Science and Technology Publications. pp. 221-228 https://doi.org/10.5220/0013125000003911
A digital twin framework with MobileNetV2 for damage detection in slab structures
Nguyen, D.H., Nguyen, H. and Gao, X. 2025. A digital twin framework with MobileNetV2 for damage detection in slab structures. Fracture and Structural Integrity. 19 (72), pp. 121-136. https://doi.org/10.3221/igf-esis.72.09
Generative artificial intelligence (AI): a key innovation or just hype in primary care settings?
Rahmanti, A.R., Iqbal, U., Reddy, S., Gao, X.W., Nguyen, H.X. and Li, Y.-C.J. 2024. Generative artificial intelligence (AI): a key innovation or just hype in primary care settings? BMJ Health & Care Informatics. 31 (1). https://doi.org/10.1136/bmjhci-2024-101367
Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer
Auzine, M., Heenaye-Mamode Khan, M., Baichoo, S., Gooda Sahib, N., Bissoonauth-Daiboo, P., Gao, X. and Heetun, Z. 2024. Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer. PLoS ONE. 19 (6), p. e0305628. https://doi.org/10.1371/journal.pone.0305628
Spectral reflectance reconstruction based on wideband multi-illuminant imaging and a modified particle swarm optimization algorithm
Zhang, X., Cui, G., Ruan, X., Cui, D., Gao, X., Chen, Q., Yao, Y., Melgosa, M. and Sueeprasan, S. 2024. Spectral reflectance reconstruction based on wideband multi-illuminant imaging and a modified particle swarm optimization algorithm. Optics Express. 32 (3), pp. 2942-2958. https://doi.org/10.1364/OE.506136
An evolutionary approach to automated class-specific data augmentation for image classification
Marc, S., Belavkin, R., Windridge, D. and Gao, X. 2024. An evolutionary approach to automated class-specific data augmentation for image classification. Moosaei, H., Hladík, M. and Pardalos, P. (ed.) 6th International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Dec 2023 Springer. pp. 170–185 https://doi.org/10.1007/978-3-031-50320-7_12
MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images. https://doi.org/10.48550/arxiv.2302.12653
Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction
Zhang, X., Cui, G., Ruan, X., Chen, Q., Cui, D., Gao, X. and Yao, Y. 2023. Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction. 8th International Conference on Computational Intelligence and Applications. Haikou, China 23 - 25 Jun 2023 IEEE. https://doi.org/10.1109/iccia59741.2023.00029
Explainable AI for colorectal lesion classification using deep learning models with attention mechanism
Auzine, M., Heenaye-Mamode Khan, M., Baichoo, S., Bissoonauth-Daiboo, P., Heetun, Z. and Gao, X. 2023. Explainable AI for colorectal lesion classification using deep learning models with attention mechanism. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 117–121 https://doi.org/10.1145/3633598.3633617
Endoscopic image classification using vision transformers
Bissoonauth-Daiboo, P., Heenaye-Mamode Khan, M., Auzine, M., Gao, X., Baichoo, S. and Heetun, Z. 2023. Endoscopic image classification using vision transformers. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 128–132 https://doi.org/10.1145/3633598.3633623
Classification of gastrointestinal cancer through explainable AI and ensemble learning
Auzine, M., Khan, M., Baichoo, S., Sahib, N., Gao, X. and Bissoonauth-Daiboo, P. 2023. Classification of gastrointestinal cancer through explainable AI and ensemble learning. 6th International Conference of Women in Data Science at Prince Sultan University. Riyadh, Saudi Arabia 14 - 15 Mar 2023 IEEE. pp. 195-200 https://doi.org/10.1109/wids-psu57071.2023.00048
Predict market fluctuations based on the TSI and the sentiment of financial video news sites via machine learning
Alzazah, F., Gao, X. and Cheng, X. 2023. 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. Sydney, Australia 03 - 05 Mar 2023 IEEE. https://doi.org/10.1109/iccae56788.2023.10111493
MesoGraph: automatic profiling of mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of mesothelioma subtypes from histological images. Cell Reports Medicine. 4 (10). https://doi.org/10.1016/j.xcrm.2023.101226
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artificial Intelligence in Medicine. 143. https://doi.org/10.1016/j.artmed.2023.102628
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time
Gao, X., Taylor, S., Pang, W., Hui, R., Lu, X., Oxford GI Investigators and Braden, B. 2023. Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Information Fusion. 92, pp. 64-79. https://doi.org/10.1016/j.inffus.2022.11.023
Classification of artefacts in endoscopic images using deep neural network
Auzine, M., Bissoonauth-Daiboo, P., Khan, M., Baichoo, S., Gao, X. and Sahib, N. 2022. Classification of artefacts in endoscopic images using deep neural network. 3rd International Conference on Next Generation Computing Applications (NextComp). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. https://doi.org/10.1109/nextcomp55567.2022.9932202
Predict market movements based on the sentiment of financial video news sites
Alzazah, F., Gao, X. and Cheng, X. 2022. Predict market movements based on the sentiment of financial video news sites. IEEE 16th International Conference on Semantic Computing. Laguna Hills, CA, USA 26 - 28 Jan 2022 IEEE. https://doi.org/10.1109/icsc52841.2022.00022
Endoscopic image analysis using deep convolutional GAN and traditional data augmentation
Auzine, M., Khan, M., Baichoo, S., Gooda Sahib, N., Gao, X. and Bissoonauth-Daiboo, P. 2022. Endoscopic image analysis using deep convolutional GAN and traditional data augmentation. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Maldives 16 - 18 Nov 2022 IEEE. https://doi.org/10.1109/ICECCME55909.2022.9988503
COVID-VIT: classification of Covid-19 from 3D CT chest images based on vision transformer model
Gao, X., Khan, M., Hui, R., Tian, Z., Qian, Y., Gao, A. and Baichoo, S. 2022. 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). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. https://doi.org/10.1109/NextComp55567.2022.9932246
Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2022. Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction. Michalowski, M., Abidi, S. and Abidi, S. (ed.) 20th International Conference on Artificial Intelligence in Medicine. Halifax, Canada 14 - 17 Jun 2022 Springer. pp. 263-272 https://doi.org/10.1007/978-3-031-09342-5_25
Identification of human papillomavirus from super resolution microscopic images generated using deep learning architectures
Gao, X., Wen, S., Li, D., Liu, W., Xiong, J., Xu, B., Liu, J., Zhang, H. and Liu, X. 2022. Identification of human papillomavirus from super resolution microscopic images generated using deep learning architectures. in: Wani, M. and Palade, V. (ed.) Deep Learning Applications, Volume 4 Springer.
Detection of human papillomavirus (HPV) from super resolution microscopic images applying an explainable deep learning network
Gao, X., Wen, S., Li, D., Liu, W., Xiong, J., Xu, B., Liu, J., Zhang, H. and Liu, X. 2022. Detection of human papillomavirus (HPV) from super resolution microscopic images applying an explainable deep learning network. SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, USA 20 - 22 Feb 2022 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2624423
Early detection of oesophageal cancer through colour contrast enhancement for data augmentation
Gao, X., Taylor, S., Pang, W., Lu, X. and Braden, B. 2022. Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, USA 21 - 24 Feb 2022 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2611409
Gold-viral particle identification by deep learning in wide-field photon scattering parametric images
Zhao, H., Ni, B., Jin, X., Zhang, H., Hou, J., Hou, L., Marsh, J., Dong, L., Li, S., Gao, X., Shi, D., Liu, X. and Xiong, J. 2022. Gold-viral particle identification by deep learning in wide-field photon scattering parametric images. Applied Optics. 61 (2), pp. 546-553. https://doi.org/10.1364/AO.445953
Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning
Zhao, H., Ni, B., Liu, W., Jin, X., Zhang, H., Gao, X., Wen, S., Shi, D., Dong, L., Xiong, J. and Liu, X. 2022. Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning. Optics Communications. 503. https://doi.org/10.1016/j.optcom.2021.127463
Artificial intelligence in endoscopy: the challenges and future directions
Gao, X. and Braden, B. 2021. Artificial intelligence in endoscopy: the challenges and future directions. Artifical Intelligence in Gastrointestinal Endoscopy. 2 (4), pp. 117-126. https://doi.org/10.37126/aige.v2.i4.117
Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)
Heenaye-Mamode Khan,, M., Boodoo-Jahangeer, N., Dullull, W., Nathire, S., Gao, X., Sinha, G.R. and Nagwanshi, K.K. 2021. Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN). PLoS ONE. 16 (8). https://doi.org/10.1371/journal.pone.0256500
COVID-CBR: a deep learning architecture featuring case-based reasoning for classification of COVID-19 from chest x-ray images
Gao, X. and Gao, A. 2021. COVID-CBR: a deep learning architecture featuring case-based reasoning for classification of COVID-19 from chest x-ray images. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). Virtual online 13 - 16 Dec 2021 IEEE. pp. 1319-1324 https://doi.org/10.1109/ICMLA52953.2021.00214
Evaluation of GAN architectures for visualisation of HPV viruses from microscopic images
Gao, X., Wen, S., Li, D., Liu, W., Xiong, J., Xu, B., Liu, J., Zhang, H. and Liu, X. 2021. Evaluation of GAN architectures for visualisation of HPV viruses from microscopic images. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). Virtual online 13 - 16 Dec 2021 IEEE. pp. 829-833 https://doi.org/10.1109/ICMLA52953.2021.00137
Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra
Liu, W., Liu, X. and Gao, X. 2021. Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra. Optics Express. 29 (2), pp. 1221-1231. https://doi.org/10.1364/OE.413942
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Ali, S., Dmitrieva, M., Ghatwary, N., Bano, S., Polat, G., Temizel, A., Krenzer, A., Hekalo, A., Guo, Y., Matuszewski, B., Gridach, M., Voiculescu, I., Yoganand, V., Chavan, A., Raj, A., Nguyen, N., Tran, D., Huynh, L., Boutry, N., Rezvy, S., Chen, H., Choi, Y., Subramanian, A., Balasubramanian, V., Gao, X., Hu, H., Liao, Y., Stoyanov, D., Daul, C., Realdon, S., Cannizzaro, R., Lamarque, D., Tran-Nguyen, T., Bailey, A., Braden, B., East, J. and Rittscher, J. 2021. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis. 70. https://doi.org/10.1016/j.media.2021.102002
Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture
Rezvy, S., Zebin, T., Pang, W., Taylor, S. and Gao, X. 2020. Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture. 2nd International Workshop and Challenge on Computer Vision in Endoscopy. Iowa City, United States 03 Apr 2020 pp. 68-72
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., Zhang, P., Li, X., Kayser, M., Soberanis-Mukul, R., Albarqouni, S., Wang, X., Wang, C., Watanabe, S., Oksuz, I., Ning, Q., Yang, S., Khan, M., Gao, X., Realdon, S., Loshchenov, M., Schnabel, J., East, J., Wagnieres, G., Loschenov, V., Grisan, E., Daul, C., Blondel, W. and Rittscher, J. 2020. An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports. 10 (1), pp. 1-15. https://doi.org/10.1038/s41598-020-59413-5
An enhanced deep learning architecture for classification of Tuberculosis types from CT lung images
Gao, X., Comley, R. and Khan, M. 2020. An enhanced deep learning architecture for classification of Tuberculosis types from CT lung images. ICIP 2020: 27th IEEE International Conference on Image Processing. Abu Dhabi, Unites Arab Emirates (Virtual Conference) 25 - 28 Oct 2020 IEEE. pp. 2486-2490 https://doi.org/10.1109/ICIP40778.2020.9190815
Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer
Gao, X., Braden, B., Zhang, L., Taylor, S., Pang, W. and Petridis, M. 2020. Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer. 24th UK Symposium on Case-Based Reasoning (UKCBR 2019). Cambridge, UK 17 Dec 2019 BCS SGAI: The Specialist Group on Artificial Intelligence. pp. 1-12
Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture
Gao, X., James-Reynolds, C. and Currie, E. 2020. Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture. Neurocomputing. 392, pp. 233-244. https://doi.org/10.1016/j.neucom.2018.12.086
Design of a robotic sensorimotor system for phantom limb pain rehabilitation
Snow, P., Loureiro, R. and Comley, R. 2014. Design of a robotic sensorimotor system for phantom limb pain rehabilitation. 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob). São Paulo, Brazil 12 - 15 Aug 2014 IEEE. pp. 120-125 https://doi.org/10.1109/BIOROB.2014.6913763
Optical flow estimation via steered-L1 norm
Zayouna, A., Comley, R. and Shi, D. 2016. Optical flow estimation via steered-L1 norm. Pan, Z. and Skala, V. (ed.) 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. Plzen, Czech Republic 30 May - 03 Jun 2016 Digital Library University of West Bohemia. pp. 81-90
Patch-based deep learning approaches for artefact detection of endoscopic images
Gao, X. and Qian, Y. 2019. Patch-based deep learning approaches for artefact detection of endoscopic images. Endoscopic artefact detection challenge 2019 (EAD2019). Venice, Italy 08 Apr 2019 CEUR Workshop Proceedings (CEUR-WS.org).
Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos
Gao, X., Braden, B., Taylor, S. and Pang, W. 2019. Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos. ICMLA 2019. Boca Raton, Florida, USA 16 - 19 Dec 2019 IEEE. pp. 1606-1612 https://doi.org/10.1109/ICMLA.2019.00264
Analysing TB severity levels with an enhanced deep residual learning– depth-resnet
Gao, X., James-Reynolds, C. and Currie, E. 2018. Analysing TB severity levels with an enhanced deep residual learning– depth-resnet. Cappellato, L., Ferro, N., Nie, J-Y. and Soulier, L. (ed.) CLEF 2018 Conference and Labs of the Evaluation Forum - ImageCLEF-Multimedia Retrieval in CLEF. Avignon, France 10 - 14 Sep 2018 CEUR Workshop Proceedings (CEUR-WS.org).
Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques
Gao, X. and Qian, Y. 2018. Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques. Molecular Pharmaceutics. 15 (10), pp. 4326-4335. https://doi.org/10.1021/acs.molpharmaceut.7b00875
Segmentation of brain lesions from CT images based on deep learning techniques
Gao, X. and Qian, Y. 2018. Segmentation of brain lesions from CT images based on deep learning techniques. Gimi, B. and Krol, A. (ed.) SPIE Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging. Houston, Texas, United States 10 - 15 Feb 2018 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2286844
Parametric tracking across multiple cameras
Sebastian, P., Voon, Y. and Comley, R. 2017. Parametric tracking across multiple cameras. Pertanika Journal of Science & Technology. 25 ((S)Jan), pp. 159-168.
Application of deep learning neural network for classification of TB lung CT images based on patches
Gao, X. and Qian, Y. 2017. Application of deep learning neural network for classification of TB lung CT images based on patches. ImageCLEF / LifeCLEF - Multimedia Retrieval in CLEF: CLEF 2017: Conference and Labs of the Evaluation Forum. Dublin, Ireland 11 - 14 Sep 2017 CEUR Workshop Proceedings (CEUR-WS.org).
A fused deep learning architecture for viewpoint classification of echocardiography
Gao, X., Li, W., Loomes, M. and Wang, L. 2017. A fused deep learning architecture for viewpoint classification of echocardiography. Information Fusion. 36, pp. 103-113. https://doi.org/10.1016/j.inffus.2016.11.007
Classification of CT brain images based on deep learning networks
Gao, X., Hui, R. and Tian, Z. 2017. Classification of CT brain images based on deep learning networks. Computer Methods and Programs in Biomedicine. 138 (2017), pp. 49-56. https://doi.org/10.1016/j.cmpb.2016.10.007
A deep learning based approach to classification of CT brain images
Gao, X. and Hui, R. 2016. A deep learning based approach to classification of CT brain images. SAI Computing Conference 2016. London, UK 13 - 15 Jul 2016 IEEE. https://doi.org/10.1109/sai.2016.7555958
A new approach to image enhancement for the visually impaired
Gao, X. and Loomes, M. 2016. A new approach to image enhancement for the visually impaired. IS&T International Symposium on Electronic Imaging 2016 - Color Imaging XXI: Displaying, Processing, Hardcopy, and Applications. San Francisco, CA, USA 14 - 18 Feb 2016 Society for Imaging Science and Technology. pp. 1-7 https://doi.org/10.2352/ISSN.2470-1173.2016.20.COLOR-325
A review of hough transform and line segment detection approaches
Rahmdel, P., Comley, R., Shi, D. and McElduff, S. 2015. A review of hough transform and line segment detection approaches. 10th International Conference on Computer Vision Theory and Applications (VISAPP 2015). Berlin, Germany 11 - 14 Mar 2015 SCITEPRESS - Science and Technology Publications. pp. 411-418 https://doi.org/10.5220/0005268904110418
Advancing ambient assisted living with caution
Huyck, C., Augusto, J., Gao, X. and Botia, J. 2015. Advancing ambient assisted living with caution. in: Helfert, M., Holzinger, A., Ziefle, M., Fred, A., O'Donoghue, J. and Röcker, C. (ed.) Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers Springer.
Evaluation of colour appearances displaying on smartphones
Gao, X., Khodamoradi, E., Guo, L., Yang, X., Tang, S., Guo, W. and Wang, Y. 2015. Evaluation of colour appearances displaying on smartphones. Yaguchi, H., Okajima, K., Ishida, T., Araki, K., Doi, M. and Manabe, Y. (ed.) AIC 2015, Color and Image, Midterm meeting of the International Colour Association (AIC). Tokyo, Japan 19 - 22 May 2015 The Color Science Association of Japan. pp. 539-544
The application of KAZE features to the classification echocardiogram videos
Li, W., Qian, Y., Loomes, M. and Gao, X. 2015. The application of KAZE features to the classification echocardiogram videos. First International Workshop Multimodal Retrieval in the Medical Domain (MRMD 2015). Vienna, Austria 29 Mar 2015 Springer. pp. 61-72 https://doi.org/10.1007/978-3-319-24471-6_6
Modelling of chromatic contrast for retrieval of wallpaper images
Gao, X., Wang, Y., Qian, Y. and Gao, A. 2015. Modelling of chromatic contrast for retrieval of wallpaper images. Color Research and Application. 40 (4), pp. 361-373. https://doi.org/10.1002/col.21897
Comment on "collinear segment detection using HT neighborhoods"
Rahmdel, P., Shi, D. and Comley, R. 2014. Comment on "collinear segment detection using HT neighborhoods". IEEE Transactions on Image Processing. 23 (2), pp. 952-955. https://doi.org/10.1109/TIP.2013.2291329
Feature-wise representation for both still and motion 3D medical images
Gao, X. 2014. Feature-wise representation for both still and motion 3D medical images. 2014 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI). San Diego, USA 06 - 09 Apr 2014 IEEE. pp. 1-4 https://doi.org/10.1109/SSIAI.2014.6806014
Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography
Gao, A., Li, W., Lin, C., Loomes, M. and Gao, X. 2013. Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography. in: IPCV'13 - The 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition CSRES Press.
Colour space effect on tracking in video surveillance
Sebastian, P., Voon, Y. and Comley, R. 2010. Colour space effect on tracking in video surveillance. International Journal on Electrical Engineering and Informatics. 2 (4), pp. 298-312.
The effect of colour space on tracking robustness
Sebastian, P., Voon, Y. and Comley, R. 2008. The effect of colour space on tracking robustness. in: 2008 3rd IEEE Conference on Industrial Electronics and Applications Institute of Electrical and Electronics Engineers (IEEE). pp. 2512-2516
Introducing mobile home agents into the distributed authentication protocol to achieve location privacy in mobile IPv6
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2008. Introducing mobile home agents into the distributed authentication protocol to achieve location privacy in mobile IPv6. International Journal of Communications. 2 (3), pp. 185-194.
The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos
Qian, Y., Wang, L., Wang, C. and Gao, X. 2013. The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos. Greenspan, H., Müller, H. and Syeda-Mahmood, T. (ed.) 3rd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support. Nice, France 01 - 01 Oct 2012 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-642-36678-9_7
3D CBIR with sparse coding for image-guided neurosurgery
Qian, Y., Hui, R. and Gao, X. 2013. 3D CBIR with sparse coding for image-guided neurosurgery. Signal Processing. 93 (6), pp. 1673-1683. https://doi.org/10.1016/j.sigpro.2012.10.020
Extended mobile WiMAX signal transmission over RoF via triple symmetrical dispersion system SMF, DCF and CFBG
Al Noor, M., Loo, J. and Comley, R. 2011. Extended mobile WiMAX signal transmission over RoF via triple symmetrical dispersion system SMF, DCF and CFBG. International Journal on Advances in Telecommunications. 4 (1&2), pp. 183-193.
Bridging the abridged – the diffusion of Telemedicine in Europe and China
Gao, X., Loomes, M. and Comley, R. 2012. Bridging the abridged – the diffusion of Telemedicine in Europe and China. in: Rodrigues, J., Díez, I. and Abajo, B. (ed.) Telemedicine and e-health services, policies, and applications: avancements and developments USA IGI Global. pp. 451-495
The state of the art of medical imaging technology: from creation to archive and back.
Gao, X., Qian, Y. and Hui, R. 2011. The state of the art of medical imaging technology: from creation to archive and back. The Open Medical Informatics Journal. 5 (1-M8), pp. 73-85. https://doi.org/10.2174/1874431101105010073
Local-global optical flow for image registration agents
Zayouna, A., Comley, R. and Shi, D. 2011. Local-global optical flow for image registration agents. iUBICOM ’11: The 6th International Workshop on Ubiquitous and Collaborative Computing. Northumbria University, Newcastle 04 Jul 2011
Wireless mesh network security: a traffic engineering management approach
Muogilim, O., Loo, J. and Comley, R. 2011. Wireless mesh network security: a traffic engineering management approach. Journal of Network and Computer Applications. 34 (2), pp. 478-491. https://doi.org/10.1016/j.jnca.2010.03.027
Content-based petrieval of 3D medical images
Qian, Y., Gao, X., Loomes, M., Comley, R., Barn, B., Hui, R. and Tian, Z. 2011. Content-based petrieval of 3D medical images. Gemert-Pijnen, L., Ossebaard, H. and Hämäläinen, P. (ed.) eTELEMED 2011: The Third International Conference on eHealth, Telemedicine, and Social Medicine. Gosier, Guadeloupe, France 23 - 28 Feb 2011 International Academy, Research, and Industry Association (IARIA). pp. 7-12
Retrieval of 3D medical images via their texture features
Gao, X., Qian, Y., Loomes, M., Barn, B., Comley, R., Chapman, A., Rix, J., Hui, R. and Tian, Z. 2011. Retrieval of 3D medical images via their texture features. International Journal on Advances in Software. 4 (3&4), pp. 499-509.
The anatomy of teleneurosurgery in China
Gao, X. 2011. The anatomy of teleneurosurgery in China. International Journal of Telemedicine and Applications. 2011. https://doi.org/10.1155/2011/353405
Heuristic standards for universal design in the face of technological diversity.
Adams, R. and Comley, R. 2009. Heuristic standards for universal design in the face of technological diversity. 2009 IEEE Accessing the Future Conference. Boston: Northeastern University 20 - 21 Jul 2009
The potential of the BCI for accessible and smart e-learning
Adams, R., Comley, R. and Ghoreyshi, M. 2009. The potential of the BCI for accessible and smart e-learning. Lecture Notes in Computer Science. 5615, pp. 467-476. https://doi.org/10.1007/978-3-642-02710-9_51
Texture-based 3d image retrieval for medical applications
Gao, X., Qian, Y., Hui, R., Loomes, M., Comley, R., Barn, B., Chapman, A. and Rix, J. 2010. Texture-based 3d image retrieval for medical applications. Macedo, M. (ed.) IADIS International Conference e-Health 2010. Freiburg, Germany 29 - 31 Jul 2010 IADIS. pp. 101-108
Application of mesh morphing techniques in modelling 3D objects
Gao, X. and Hassan, M. 2010. Application of mesh morphing techniques in modelling 3D objects. Annual International Conference on Computer Games Multimedia and Allied Technology. Singapore 06 - 07 Apr 2010 Global Science and Technology Forum. https://doi.org/10.5176/978-981-08-5480-5_048
Towards healthcare based on ubiquitous computing
Shi, D. and Comley, R. 2010. Towards healthcare based on ubiquitous computing. eNewsletter of the IEEE Systems, Man and Cybernetics (SMC) Society. (33).
Road sign recognition by one fixation of space-variant sensor.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N. and Hong, K. 2002. Road sign recognition by one fixation of space-variant sensor. in: Gorodnich, D. and Zhang, H. (ed.) Vision Interface ’2002: proceedings Quebec Canadian Image Processing and Pattern Recognition Society.
Invariant recognition of traffic signs
Gao, X., Shaposhnikov, D., Podladchikova, L., Shevtsova, N. and Golovan, A. 2002. Invariant recognition of traffic signs.
Application of the behavioural model of vision for invariant recognition of facial and traffic sign images.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N., Gusakova, V. and Gizatdinova, Y. 2003. Application of the behavioural model of vision for invariant recognition of facial and traffic sign images. in: Gulaev, Y. and Galushkin, A. (ed.) Neurocomputers and their application. [In Russian] Moscow Radiotechnics.
Image classification based on the informative regions properties.
Gao, X., Podladchikova, L. and Shaposhnikov, D. 2003. Image classification based on the informative regions properties. in: Proceedings of PRIA-6-2002 : 6th International conference on pattern recognition and image analysis: new information technologies. MAIK Nauka/Interperiodica. pp. 439-441
Image retrieval through perceptual shape modelling.
Gao, X., Ren, M., Riley, K., Eakins, J. and Briggs, P. 2001. Image retrieval through perceptual shape modelling. London Council for Museums, Archives and Libraries.
Telemedicine in Europe.
Gao, X. 2006. Telemedicine in Europe. ChinaPacs. Beijing 14 - 16 Apr 2006
A new approach to traffic sign recognition
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K., Batty, S., Golovan, A., Gusakova, V. and Shevtsova, N. 2002. A new approach to traffic sign recognition. in: Arabnia, H. and Mun, Y. (ed.) Proceedings of the international conference on imaging science, systems, and technology: CISST'02. Athens CSREA Press.
Road sign recognition by means of the behavioural model of vision.
Gao, X., Golovan, A., Hong, K., Podladchikova, L. and Shevtsova, N. 2002. Road sign recognition by means of the behavioural model of vision. in: Proceedings of the third all-Russian conference on neuroinformatics [In Russian]. Moscow. pp. 63-69
Colour reproduction for tele-imaging systems
Gao, X. and He, P. 2006. Colour reproduction for tele-imaging systems. Computerized medical imaging and graphics. 30 (6-7), pp. 79-84.
Measurement of vessel diameters on retinal for cardiovascular studies.
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. Measurement of vessel diameters on retinal for cardiovascular studies. in: Claridge, E., Bamber, J. and Marlow, K. (ed.) Medical image understanding and analysis 2001. Medical Imaging Understanding and Analysis.
Extraction of sagittal symmetry planes from PET images.
Gao, X., Batty, S., Clark, J., Fryer, T., Blandford, A. and International Association of Science and Technology for Development. 2001. Extraction of sagittal symmetry planes from PET images. in: Hamza, M. (ed.) Visualization, imaging and image processing: proceedings of the IASTED international conference. Calgary IASTED. pp. 428-433
Towards archiving wallpaper images
Gao, X., Qian, Y., Tully, T. and Hendon, Z. 2004. Towards archiving wallpaper images. in: Hamza, M. (ed.) Proceedings of the seventh IASTED international conference on computer graphics and imaging. Anaheim Acta Press. pp. 305-309
High-precision detection of facial landmarks to estimate head motions based on vision models
Gao, X., Anishenko, S., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. High-precision detection of facial landmarks to estimate head motions based on vision models. Journal of computer sciences. 3 (7), pp. 528-532.
Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels
Gao, X., Batty, S., Clark, J. and Fryer, T. 2006. Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels. Computerized medical imaging and graphics. 30 (6-7), pp. 70-74.
Extraction of physiological information from 3D PET brain images.
Gao, X., Batty, S., Fryer, T., Clark, J., Turkheimer, F. and International Association of Science and Technology for Development. 2003. Extraction of physiological information from 3D PET brain images. in: Villanueva, J. (ed.) Visualization imaging and image processing. Acta Press. pp. 401-405
Extraction of features from 3D PET images.
Gao, X., Batty, S., Clark, J. and Fryer, T. 2002. Extraction of features from 3D PET images. in: Houston, A. and Zwiggelar, R. (ed.) Medical image understanding and analysis 2002. BMVA.
Towards archiving 3D PET brain images based on their physiological and visual content.
Gao, X., Batty, S., Clark, J., Fryer, T. and Turkheimer, F. 2002. Towards archiving 3D PET brain images based on their physiological and visual content. International conference on diagnostic imaging and analysis. Shanghai, China 18 - 20 Aug 2002
Location privacy in mobile IPv6 distributed authentication protocol using mobile home agents
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2009. Location privacy in mobile IPv6 distributed authentication protocol using mobile home agents. Trilling, L., Perkins, D., Dionysios, D., Perlovsky, L., Davey, K., Landgrebe, D., Marino, M., Russell, D., Collicott, S., Ceccarelli, M. and Lund, J. (ed.) The 8th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (EHAC '09). Cambridge, UK 21 - 23 Feb 2009 World Scientific and Engineering Academy and Society (WSEAS). pp. 51-56
A new approach to estimation of non-isotropic scale factors for correction of MR distortion
Gao, X., Hui, R., White, A.S. and Tian, Z. 2009. A new approach to estimation of non-isotropic scale factors for correction of MR distortion. International Journal of Computer Assisted Radiology and Surgery. 4 (s1), pp. s349-s350.
Attacks on an ISO/IEC 11770-2 key establishment protocol
Comley, R. and Cheng, Z. 2005. Attacks on an ISO/IEC 11770-2 key establishment protocol. International Journal of Network Security. 3 (3), pp. 290-295.
Remove key escrow from the identity-based encryption system.
Comley, R., Vasiu, L. and Cheng, Z. 2004. Remove key escrow from the identity-based encryption system. IFIP Eighteenth World Computer Congress, Information Technology, TC1 3rd International Conference on Theoretical Computer Science in the Era of Network and Mobile Computing, IFIP TCS2004, Toulouse, France. Proceedings.. 3 (3), pp. 37-50.
A fast approach to segmentation of PET brain images for extraction of features
Gao, X. and Clark, J. 2008. A fast approach to segmentation of PET brain images for extraction of features. Gao, X., Loomes, M., Comley, R., Muller, H. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_25
Prototype system for semantic retrieval of neurological PET images
Batty, S., Clark, J., Fryer, T. and Gao, X. 2008. Prototype system for semantic retrieval of neurological PET images. Gao, X., Muller, H., Loomes, M., Comley, R. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_23
Colour vision model-based approach for segmentation of traffic signs
Gao, X., Hong, K., Passmore, P., Podladchikova, L. and Shaposhnikov, D. 2008. Colour vision model-based approach for segmentation of traffic signs. EURASIP Journal on Image and Video Processing. 2008. https://doi.org/10.1155/2008/386705
Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach
Anishenko, S., Osimov, V., Shaposhnikov, D., Podladchikova, L., Comley, R. and Gao, X. 2008. Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach. Puuronen, S., Pechenizkiy, M., Tsymbal, A. and Lee, D. (ed.) 21st IEEE International Symposium on Computer-Based Medical Systems. Jyvaskyla, Finland 17 - 19 Jun 2008 IEEE Computer Society. pp. 50-52 https://doi.org/10.1109/CBMS.2008.19
General and efficient Certificateless Public Key Encryption constructions
Comley, R., Cheng, Z., Chen, L. and Ling, L. 2007. General and efficient Certificateless Public Key Encryption constructions. Takagi, T., Okamoto, T., Okamoto. E. and Okamoto, T. (ed.) Pairing-Based Cryptography - Pairing 2007. First International Conference. Tokyo, Japan 02 - 04 Jul 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-73489-5_6
Detection of head motions using a vision model
Gao, X., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. Detection of head motions using a vision model. Bashshur, R. (ed.) 3rd IASTED International Conference on Telehealth. Montreal, QC, Canada 31 May - 01 Jun 2007 Anaheim, CA Acta Press. pp. 167-171
Identity-based key agreement with unilateral identity privacy using pairings
Comley, R., Chen, L., Tang, Q. and Cheng, Z. 2006. Identity-based key agreement with unilateral identity privacy using pairings. Chen, K., Deng, R., Lai, X. and Zhou, J. (ed.) Information Security Practice and Experience: Second International Conference, ISPEC 2006. Hangzhou, China 11 - 14 Apr 2006 Berlin, Heidelberg Springer. https://doi.org/10.1007/11689522_19
Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol.
Georgiades, A., Luo, Y., Lasebae, A. and Comley, R. 2006. Dual identity return routability for the security of mobile IPv6 binding updates within the distributed authentication protocol. Lazakidou, A. and Siassiakos, K. (ed.) 6th WSEAS International Conference on Applied Informatics and Communications. Elounda, Greece 18 - 20 Aug 2006 World Scientific and Engineering Academy and Society (WSEAS). pp. 406-411
Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2006. Distributed authentication protocol utilizing dual identity return routability for the security of binding updates within mobile IPv6. WSEAS Transactions on Communications. 5 (10), pp. 1109-2742.
The state of art of medical displays.
Gao, X. 2006. The state of art of medical displays. EuroPacs 2006. Trondheim, Norway 14 - 17 Jun 2006
Recognition of traffic signs based on their colour and shape features extracted using human vision models
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K. and Shevtsova, N. 2006. Recognition of traffic signs based on their colour and shape features extracted using human vision models. Journal of Visual Communication and Image Representation. 17 (4), pp. 675-685. https://doi.org/10.1016/j.jvcir.2005.10.003
Distributed authentication protocol for the security of binding updates in mobile IPv6
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Distributed authentication protocol for the security of binding updates in mobile IPv6. Kartalopoulos, S. (ed.) 9th WSEAS International Conference on Communications. Athens, Greece 14 - 16 Jul 2005 World Scientific and Engineering Academy and Society (WSEAS).
Binding update security for mobile IPv6 using a distributed authentication protocol
Luo, Y., Lasebae, A., Comley, R. and Georgiades, A. 2005. Binding update security for mobile IPv6 using a distributed authentication protocol. WSEAS Transactions on Communications. 4 (9), pp. 1109-2742.
Trinity protocol for authentication of binding updates in mobile IPv6
Luo, Y., Comley, R., Lasebae, A. and Georgiades, A. 2004. Trinity protocol for authentication of binding updates in mobile IPv6. WSEAS Transactions on Communications. 3 (3), pp. 872-877.
Colour management in telemedicine
Gao, X. 2004. Colour management in telemedicine. Hamza, M. (ed.) 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 Anaheim, CA Acta Press. pp. 361-364
Application of vision models to traffic sign recognition
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2004. Application of vision models to traffic sign recognition. Kaynak, O., Alpaydin, E., Oja, E. and Xu, L. (ed.) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Istanbul, Turkey 26 - 29 Sep 2003 Berlin, Heidelberg Springer. https://doi.org/10.1007/3-540-44989-2_131
Towards content-based retrieval for wallpaper images
Qian, Y., Tully, C., Hendon, Z. and Gao, X. 2003. Towards content-based retrieval for wallpaper images. 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 pp. 305-309
Classification of images on the basis of the properties of informative regions
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2003. Classification of images on the basis of the properties of informative regions. Pattern Recognition and Image Analysis. 13 (2), pp. 349-352.
Vision models based identification of traffic signs
Gao, X., Podladchikova, L., Shaposhnikov, D., Shevtsova, N., Hong, K., Batty, S., Golovan, A. and Gusakova, V. 2002. Vision models based identification of traffic signs. 1st European Conference on Colour Graphics, Imaging, and Vision. University of Poitiers, France 02 - 05 Apr 2002 Society for Imaging Science and Technology.
Content based retrieval of lesioned brain images
Batty, S., Blandford, A., Clark, J., Fryer, T. and Gao, X. 2002. Content based retrieval of lesioned brain images. Siegel, E. and Huang, H. (ed.) SPIE Medical Imaging 2002. San Diego, California, United States 23 - 28 Feb 2002 Bellingham Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.466997
A method of vessel tracking for vessel diameter measurement on retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. A method of vessel tracking for vessel diameter measurement on retinal images. 2001 International Conference on Image Processing. Thessaloniki, Greece 07 - 10 Oct 2001 IEEE.
Computer algorithms for the automated measurement of retinal arteriolar diameters
Chapman, N., Witt, N., Gao, X., Bharath, A., Stanton, A., Thom, S. and Hughes, A. 2001. Computer algorithms for the automated measurement of retinal arteriolar diameters. British Journal of Ophthalmology. 85 (1), pp. 74-79. https://doi.org/10.1136/bjo.85.1.74
Quantification and characterization of arteries in retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2000. Quantification and characterization of arteries in retinal images. Computer Methods and Programs in Biomedicine. 63 (2), pp. 133-146. https://doi.org/10.1016/S0169-2607(00)00082-1