Texture-based 3d image retrieval for medical applications

Conference paper


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
TypeConference paper
TitleTexture-based 3d image retrieval for medical applications
AuthorsGao, X., Qian, Y., Hui, R., Loomes, M., Comley, R., Barn, B., Chapman, A. and Rix, J.
Abstract

Although content-based image retrieval (CBIR) has been researched for more than two decades, retrieving 3D datasets has just begun recently and is mainly focusing on 3D shapes, i.e., iso-surfaces of objects. This is in part due to the fact that the major application area of CBIR is to those images available over the internet. In the medical domain however, more and more images are in three or more dimensions with important information spreading from both shapes to anatomic locations. This study aims to help surgical planning for image-guided neurosurgery, by which the anatomic location plays more important role than the shape of a tumour. Texture-based methods are therefore exploited with four approaches including 3D Grey Level Co-occurrence Matrices (3D GLCM), 3D Wavelet Transform (3D WT), 3D Gabor Transform (3D GT) and 3D Local Binary Pattern (3D LBP) working on a database consisted of around 100 image volumes with both normal and lesioned brains. Preliminary results have shown that 3D LBP performs best with precision recall of 65% and processing time of less than 1 second for both feature extraction and retrieval.

Keywords3D medical image retrieval; 3D grey level co-occurrence matrices; 3D Wavelet transform; 3D Gabor transform; 3D local binary pattern
ConferenceIADIS International Conference e-Health 2010
Page range101-108
Proceedings TitleProceedings of the IADIS International Conference e-Health 2010
EditorsMacedo, M.
ISBN9789728939168
PublisherIADIS
Publication process dates
Deposited25 Jan 2024
Web address (URL)https://www.iadisportal.org/digital-library/texture-based-3d-image-retrieval-for-medical-applications
Scopus EID2-s2.0-79955159910
Web address (URL) of conference proceedingshttps://www.iadisportal.org/digital-library/iadis-international-conference-e-health-2010-part-of-mccsis-2010
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/z17xv

  • 62
    total views
  • 0
    total downloads
  • 1
    views this month
  • 0
    downloads this month

Export as

Related outputs

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
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
An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory
Davis, W., Yaqoob, M., Bennett, L., Mihai, S., Hung, D., Trestian, R., Karamanoglu, M., Barn, B. and Nguyen, H. 2023. An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory. 2022 11th International Conference on Industrial Technology and Management. Oxford, United Kingdom 18 - 20 Feb 2022 New York, NY, USA Association for Computing Machinery (ACM). https://doi.org/10.1145/3588155.3588174
Digital twin as an aid for decision-making in the face of uncertainty
Kulkarni, V., Barat, S., Clark, T. and Barn, B. 2022. Digital twin as an aid for decision-making in the face of uncertainty. 2022 Winter Simulation Conference (WSC). Singapore 11 - 14 Dec 2022 IEEE. pp. 1371-1385 https://doi.org/10.1109/wsc57314.2022.10015528
Towards the essence of specifying sociotechnical digital twins
Barn, B., Clark, T., Barat, S. and Kulkarni, V. 2023. Towards the essence of specifying sociotechnical digital twins. Agarwal, S., Roychoudhury, A., Purandare, R., Tiwari, S. and Kumar, L. (ed.) ISEC 2023: 16th Innovations in Software Engineering Conference. Prayagraj, Uttar Pradesh, India 23 - 25 Feb 2023 Association for Computing Machinery (ACM). pp. 1-5 https://doi.org/10.1145/3578527.3578542
Sociotechnical digital twin: public policy evaluation and a research roadmap for the digital society
Barn, B. 2023. Sociotechnical digital twin: public policy evaluation and a research roadmap for the digital society. 2nd International Workshop on Digital Twin Engineering (DTE) . Vienna, Austria 29 - 29 Nov 2023
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
Adaptation of enterprise modeling methods for large language models
Barn, B., Barat, S. and Sandkuhl, K. 2023. Adaptation of enterprise modeling methods for large language models. Almeida, J., Kaczmarek-Heß, M., Koschmider, A. and Proper, H. (ed.) 16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling. Vienna, Austria 28 Nov - 01 Dec 2023 Cham Springer. https://doi.org/10.1007/978-3-031-48583-1_1
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
Neural text generators in enterprise modeling: Can ChatGPT be used as proxy domain expert?
Sandkuhl, K., Barn, B. and Barat, S. 2023. Neural text generators in enterprise modeling: Can ChatGPT be used as proxy domain expert? da Silva, A.R., da Silva, M.M., Estima, J., Barry, C., Lang, M., Linger, H. and Schneider, C. (ed.) 31st International Conference on Information Systems Development. Lisbon, Portugal 30 Aug - 01 Sep 2023 Lisbon, Portugal Association for Information Systems (AIS). https://doi.org/10.62036/ISD.2023.44
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
Digital twin as risk-free experimentation aid for techno-socio-economic systems
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2022. Digital twin as risk-free experimentation aid for techno-socio-economic systems. ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS). Montreal, Canada 23 - 28 Oct 2022 Association for Computing Machinery (ACM). pp. 66-75 https://doi.org/10.1145/3550355.3552409
The sociotechnical digital twin: on the gap between social and technical feasibility
Barn, B. 2022. The sociotechnical digital twin: on the gap between social and technical feasibility. 2022 IEEE 24th Conference on Business Informatics (CBI). Amsterdam, Netherlands 15 - 17 Jun 2022 IEEE Computer Society. pp. 11-20
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
Digital twins: a survey on enabling technologies, challenges, trends and future prospects
Mihai, S., Yaqoob, M., Hung, D., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B., Shetve, D., Prasad, R., Venkataraman, H., Trestian, R. and Nguyen, H. 2022. Digital twins: a survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys and Tutorials. 24 (4), pp. 2255-2291. https://doi.org/10.1109/COMST.2022.3208773
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. https://doi.org/10.1007/978-3-031-09342-5_25
RIS-aided smart manufacturing: information transmission and machine health monitoring
Hoang, T., Son, D., Barn, B., Trestian, R. and Nguyen, H. 2022. RIS-aided smart manufacturing: information transmission and machine health monitoring. IEEE Internet of Things Journal. 9 (22), pp. 22930-22943. https://doi.org/10.1109/JIOT.2022.3187189
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. 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. 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
A digital twin framework for predictive maintenance in industry 4.0
Mihai, S., Davis, W., Hung, D., Trestian, R., Karamanoglu, M., Barn, B., Prasad, R., Venkataraman, H. and Nguyen, H. 2021. A digital twin framework for predictive maintenance in industry 4.0. HPCS 2020: 18th Annual Meeting. Barcelona, Spain (Online Virtual Conference) 22 - 27 Mar 2021 IEEE.
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. 20th IEEE ICMLA 2021. 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. 20th IEEE ICMLA 2021. 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
OrgML - a domain specific language for organisational decision-making
Barat, S., Barn, B., Clark, T. and Kulkarni, V. 2020. OrgML - a domain specific language for organisational decision-making. Grabis, J. and Bork, D. (ed.) 13th IFIP Working Conference (PoEM 2020). Riga, Latvia 25 - 27 Nov 2020 Springer. pp. 155-170 https://doi.org/10.1007/978-3-030-63479-7_11
Value-sensitive co-design for resilient information systems
Primiero, G., Barn, B. and Barn, R. 2020. Value-sensitive co-design for resilient information systems. Studies in Logic, Grammar and Rhetoric. 63 (1), pp. 141-164. https://doi.org/10.2478/slgr-2020-0032
Language support for multi agent reinforcement learning
Clark, T., Barn, B., Kulkarni, V. and Barat, S. 2020. Language support for multi agent reinforcement learning. 13th Innovations in Software Engineering Conference (ISEC). PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, India 27 - 29 Feb 2020 Association for Computing Machinery (ACM). pp. 1-12 https://doi.org/10.1145/3385032.3385041
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
A domain specific language for complex dynamic decision making
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2020. A domain specific language for complex dynamic decision making. International Journal of Computer Aided Engineering and Technology.
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
Constructing and interrogating actor histories
Clark, T., Kulkarni, V., Barat, S. and Barn, B. 2018. Constructing and interrogating actor histories. in: Valencia-García, R., Paredes-Valverde, M., del Pilar Salas-Zárate, M. and Alor-Hernández, G. (ed.) Exploring Intelligent Decision Support Systems: Current State and New Trends Switzerland Springer.
Youth justice in the digital age: a case study of practitioners' perspectives on the challenges and opportunities of social technology in their Techno-Habitat in the United Kingdom
Barn, R. and Barn, B. 2019. Youth justice in the digital age: a case study of practitioners' perspectives on the challenges and opportunities of social technology in their Techno-Habitat in the United Kingdom. Youth Justice. 19 (3), pp. 185-205. https://doi.org/10.1177/1473225419869568
An actor based simulation driven digital twin for analyzing complex business systems
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2020. An actor based simulation driven digital twin for analyzing complex business systems. Winter Simulation Conference 2019 - Simulation for Risk Management. Gaylord National Resort & Conference Center, National Harbor, Maryland 08 - 11 Dec 2019 IEEE. pp. 157-168 https://doi.org/10.1109/WSC40007.2019.9004694
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.
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
Making sense of actor behaviour: an algebraic filmstrip pattern and its implementation
Clark, T., Barn, B., Kulkarni, V. and Barat, S. 2019. Making sense of actor behaviour: an algebraic filmstrip pattern and its implementation. 12th Innovations on Software Engineering Conference (formerly known as India Software Engineering Conference). Pune, India 14 - 16 Feb 2019 Association for Computing Machinery (ACM). https://doi.org/10.1145/3299771.3299783
Mapping the public debate on ethical concerns: algorithms inmainstream media
Barn, B. 2019. Mapping the public debate on ethical concerns: algorithms inmainstream media. Journal of Information, Communication and Ethics in Society. 18 (1), pp. 124-139. https://doi.org/10.1108/JICES-04-2019-0039
Human and value sensitive aspects of mobile app design: a Foucauldian perspective
Barn, B. and Barn, R. 2018. Human and value sensitive aspects of mobile app design: a Foucauldian perspective. Krogstie, J. and Reijers, H. (ed.) CAiSE 2018: 30th International Conference on Advanced Information Systems Engineering. Tallinn, Estonia 11 - 15 Jun 2018 Cham Springer. pp. 103-118 https://doi.org/10.1007/978-3-319-91563-0_7
Towards improved organisational decision-making - a method and tool-chain
Barat, S., Kulkarni, V. and Barn, B. 2018. Towards improved organisational decision-making - a method and tool-chain. Enterprise Modelling and Information Systems Architectures – International Journal of Conceptual Modeling. 13 (2018), pp. 6:1-6:16. https://doi.org/10.18417/emisa.13.6
Towards a unified conceptual model for surveillance theories
Barn, B. and Barn, R. 2018. Towards a unified conceptual model for surveillance theories. 40th International Conference on Software Engineering Software in Society Track. Gothenburg, Sweden 27 May - 03 Jun 2018 Association for Computing Machinery (ACM). pp. 71-80 https://doi.org/10.1145/3183428.3183429
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-WS.
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
A modelling technique for enterprise agility
Nwokeji, J., Aqlan, F., Barn, B., Clark, T. and Kulkarni, V. 2018. A modelling technique for enterprise agility. HICSS-51 The 51st Hawaii International Conference on System Sciences. Hawaii, USA 03 - 06 Jan 2018 University of Hawaii. pp. 4631-4640
Querying histories of organisation simulations
Clark, T., Barn, B., Kulkarni, V. and Barat, S. 2017. Querying histories of organisation simulations. 26th International Conference on Information Systems Development (ISD2017 CYPRUS). Larnaca, Cyprus 06 - 08 Sep 2017 Association for Information Systems (AIS).
Examining the interaction between fourth estate and Twitter: an exploratory case study
Barn, B., Barn, R., Raimondi, F. and Mukherjee, U. 2017. Examining the interaction between fourth estate and Twitter: an exploratory case study. HUSO 2017: Third International Conference on Human and Social Analytics. Nice, France 23 - 27 Jul 2017 IARIA. pp. 11-17
A model-based approach to systematic reviews of research literature
Barat, S., Clark, T., Barn, B. and Kulkarni, V. 2017. A model-based approach to systematic reviews of research literature. ISEC 2017: Innovations in Software Engineering Conference. Jaipur, India 05 - 07 Feb 2017 Association for Computing Machinery (ACM). pp. 15-25 https://doi.org/10.1145/3021460.3021462
Actor monitors for adaptive behaviour
Clark, T., Kulkarni, V., Barat, S. and Barn, B. 2017. Actor monitors for adaptive behaviour. ISEC '17: 10th Innovations in Software Engineering Conference. Jaipur, India 05 - 07 Feb 2017 Association for Computing Machinery (ACM). pp. 85-95 https://doi.org/10.1145/3021460.3021469
A model based realisation of actor model to conceptualise an aid for complex dynamic decision-making
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2017. A model based realisation of actor model to conceptualise an aid for complex dynamic decision-making. MODELSWARD 2017: 5th International Conference on Model-Driven Engineering and Software Development. Porto, Portugal 19 - 21 Feb 2017 SCITEPRESS - Science and Technology Publications. pp. 605-616 https://doi.org/10.5220/0006216306050616
ESL: an actor-based platform for developing emergent behaviour organisation simulations
Clark, T., Kulkarni, V., Barat, S. and Barn, B. 2017. ESL: an actor-based platform for developing emergent behaviour organisation simulations. Demazeau, Y., Davidsson, P., Bajo, J. and Vale, Z. (ed.) 15th International Conference on Practical Applications of Scalable Multi-Agent Systems. Porto, Portugal 21 - 23 Jun 2017 Cham Springer. https://doi.org/10.1007/978-3-319-59930-4_27
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.
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
Do you own a Volkswagen? Values as non-functional requirements
Barn, B. 2016. Do you own a Volkswagen? Values as non-functional requirements. HCSE + HESSD 2016: Joint 6th International Working Conference on Human-Centred Software Engineering and 8th International Working Conference on Human Error, Safety, and System Development. Stockholm, Sweden 29 - 31 Aug 2016 Springer. pp. 151-162 https://doi.org/10.1007/978-3-319-44902-9_10
Optimising energy efficiency of non-orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network
Vien, Q., Le, T., Barn, B. and Phan, C. 2016. Optimising energy efficiency of non-orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network. IET Communications. 10 (18), pp. 2516-2524. https://doi.org/10.1049/iet-com.2016.0247
A simulation-based aid for organisational decision-making
Bharat, S., Kulkarni, V., Clark, T. and Barn, B. 2016. A simulation-based aid for organisational decision-making. ICSOFT-EA 2016: 11th International Conference on Software Engineering and Applications. Lisbon, Portugal 24 - 26 Jul 2016 SCITEPRESS - Science and Technology Publications. pp. 109-116 https://doi.org/10.5220/0005992401090116
An ontological representation of a taxonomy for cybercrime
Barn, R. and Barn, B. 2016. An ontological representation of a taxonomy for cybercrime. 24th European Conference on Information Systems (ECIS 2016). Istanbul, Turkey 12 - 15 Jun 2016 Association for Information Systems (AIS).
Towards connecting people, locations and real-world events in a cellular network
Trestian, R., Shah, P., Nguyen, H., Vien, Q., Gemikonakli, O. and Barn, B. 2017. Towards connecting people, locations and real-world events in a cellular network. Telematics and Informatics. 34 (1), pp. 244-271. https://doi.org/10.1016/j.tele.2016.05.006
An exploration of resilience and values in the co-design of sociotechnical systems
Barn, B. and Barn, R. 2016. An exploration of resilience and values in the co-design of sociotechnical systems. International Journal of Systems and Society (IJSS). 3 (1), pp. 1-17. https://doi.org/10.4018/IJSS.2016010101
Separability principles for a general theory of software engineering: report on the GTSE 2015 workshop
Exman, I., Perry, D., Barn, B. and Ralph, P. 2016. Separability principles for a general theory of software engineering: report on the GTSE 2015 workshop. ACM SIGSOFT Software Engineering Notes. 41 (1), pp. 25-27. https://doi.org/10.1145/2853073.2853093
Integrating values into mobile software engineering
Barn, R. and Barn, B. 2016. Integrating values into mobile software engineering. 9th India Software Engineering Conference. Goa, India 18 - 20 Feb 2016 Association for Computing Machinery (ACM). pp. 196 https://doi.org/10.1145/2856636.2856659
Enterprise modeling as a decision making aid: a systematic mapping study
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2016. Enterprise modeling as a decision making aid: a systematic mapping study. Horkoff, J., Jeusfeld, M. and Persson, A. (ed.) 9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling. Skovde, Sweden 08 - 10 Nov 2016 Cham Springer.
A systematic mapping study of the current practice of Indian software engineering
Barn, B., Clark, T., Ali, A. and Arif, R. 2016. A systematic mapping study of the current practice of Indian software engineering. 9th India Software Engineering Conference. Goa, India 18 - 20 Feb 2016 Association for Computing Machinery (ACM). pp. 89-98 https://doi.org/10.1145/2856636.2856644
A conceptual model for organisational decision-making and its possible realisations
Barat, S., Clark, T., Kulkarni, V. and Barn, B. 2016. A conceptual model for organisational decision-making and its possible realisations. Evora-Gomez, J. and Hernandez-Cabrera, J. (ed.) 30th European Simulation and Modelling Conference. Las Palmas, Spain 26 - 28 Oct 2016 EUROSIS. pp. 174-176
A simulation based aid for complex dynamic decision making
Barat, S., Clark, T., Barn, B. and Kulkarni, V. 2016. A simulation based aid for complex dynamic decision making. Sandkuhl, K. and Söderström, E. (ed.) Doctoral Consortium at the 9th IFIP WG 8.1 Working Conference on The Practice of Enterprise Modeling. Skovde, Sweden 08 Nov 2016 CEUR-WS.
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
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.
A data-centric approach to change management
Nwokeji, J., Clark, T., Barn, B., Kulkarni, V. and Anum, S. 2015. A data-centric approach to change management. 19th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2015. Adelaide, Australia 21 - 25 Sep 2015 IEEE. pp. 185-190 https://doi.org/10.1109/EDOC.2015.34
A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making
Kulkarni, V., Barat, S., Clark, T. and Barn, B. 2015. A wide-spectrum approach to modelling and analysis of organisation for machine-assisted decision-making. 11th International Workshop on Enterprise & Organizational Modeling and Simulation (EOMAS 2015). Stockholm, Sweden 08 - 09 Jun 2015 Springer. pp. 87-101 https://doi.org/10.1007/978-3-319-24626-0_7
Temporal planning for business process optimisation
Magazzeni, D., Mercorio, F., Barn, B., Clark, T., Raimondi, F. and Kulkarni, V. 2014. Temporal planning for business process optimisation. ICAPS 2014: 8th Scheduling and Planning Application woRKshop (SPARK 2014). Portsmouth, New Hampshire, USA 22 Jun 2014
Smart phone activity: risk-taking behaviours and perceptions on data security among young people in England
Barn, B., Barn, R. and Tan, J. 2013. Smart phone activity: risk-taking behaviours and perceptions on data security among young people in England. International Journal of Social and Organizational Dynamics in IT (IJSODIT). 3 (4), pp. 43-58. https://doi.org/10.4018/ijsodit.2013100103
Resilience and values: antecedents for effective co-design of information systems
Barn, B. and Barn, R. 2015. Resilience and values: antecedents for effective co-design of information systems. Twenty-Third European Conference on Information Systems (ECIS 2015). Münster, Germany 26 - 29 May 2015
Towards connecting people, locations and real-world events in a cellular network [conference item]
Trestian, R., Shah, P., Nguyen, H., Vien, Q., Gemikonakli, O. and Barn, B. 2015. Towards connecting people, locations and real-world events in a cellular network [conference item]. The main conference on the scientific analysis of mobile phone datasets (NetMob), Orange D4D Challenge. MIT Media Lab, USA 07 - 10 Apr 2015
Making sense of course data: towards the standardisation of curriculum design and course related information
Dafoulas, G., Barn, B. and Zheng, Y. 2014. Making sense of course data: towards the standardisation of curriculum design and course related information. 6th International Conference on Education and New Learning Technologies (EDULEARN 2014).
Curriculum design for e-education: make effective use of course data
Dafoulas, G., Barn, B. and Zheng, Y. 2014. Curriculum design for e-education: make effective use of course data. International Conference on eBusiness, eCommerce, eManagement, eLearning and eGovernance 2014.
Improving student employability by utilising semantic analysis of course data
Dafoulas, G., Barn, B. and Zheng, Y. 2014. Improving student employability by utilising semantic analysis of course data. ICERI 2014 : 7th International Conference of Education, Research and Innovation.
Skills and education planning tools for curriculum design
Dafoulas, G., Barn, B. and Zheng, Y. 2014. Skills and education planning tools for curriculum design. 2nd World Congress on Multimedia and Computer Science.
Lifelong learning and workforce development design – towards a new generation of educational planning tools
Dafoulas, G., Barn, B., Abeysinghe, G. and Zheng, Y. 2010. Lifelong learning and workforce development design – towards a new generation of educational planning tools. Proceedings of the Annual International Conference on Education and New Learning Technologies (EDULEARN2010).
Middlesex University skills and education planning tool
Dafoulas, G., Barn, B., Abeysinghe, G. and Zheng, Y. 2011. Middlesex University skills and education planning tool. JISC eLearning Experts Meeting.
Programme design, accreditation and APEL/APCL support tools
Dafoulas, G., Barn, B., Abeysinghe, G. and Zheng, Y. 2011. Programme design, accreditation and APEL/APCL support tools. UK Academy for Information Systems 16th Annual International Conference.
An approximate theory for value sensitivity
Barn, B. and Barn, R. 2015. An approximate theory for value sensitivity. 015 IEEE/ACM 4th SEMAT Workshop on a General Theory of Software Engineering. Florence 18 May 2015 IEEE. pp. 25-28 https://doi.org/10.1109/GTSE.2015.10
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
Goal driven architecture development using LEAP
Clark, T. and Barn, B. 2013. Goal driven architecture development using LEAP. Enterprise Modelling and Information Systems Architectures. 8 (1), pp. 40-61. https://doi.org/10.1007/BF03345928
The role of resilience and value for effective co-design of information systems
Barn, B., Barn, R. and Primiero, G. 2014. The role of resilience and value for effective co-design of information systems. in: Proceedings of the Conference of the International Association for Computing and Philosophy (IACAP 14) Springer Synthese Library.
Can organisational theory and multi-agent systems influence next generation enterprise modelling?
Barn, B., Clark, T. and Kulkarni, V. 2015. Can organisational theory and multi-agent systems influence next generation enterprise modelling? Holzinger, A., Cardoso, J., Cordeiro, J., Libourel, T., Maciaszek, L. and van Sinderen, M. (ed.) 9th International Conference on Software Engineering and Applications. Vienna, Austria 29 - 31 Aug 2014 Cham Springer. https://doi.org/10.1007/978-3-319-25579-8_12
Toward overcoming accidental complexity in organisational decision-making
Kulkarni, V., Barat, S., Clark, T. and Barn, B. 2015. Toward overcoming accidental complexity in organisational decision-making. ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems. Ottawa, Canada 30 Sep - 02 Oct 2015 IEEE. pp. 368-377 https://doi.org/10.1109/MODELS.2015.7338268
A conceptual framework for enterprise agility
Nwokeji, J., Clark, T., Barn, B. and Kulkarni, V. 2015. A conceptual framework for enterprise agility. Shin, D. (ed.) 30th Annual ACM Symposium on Applied Computing. Salamanca, Spain 13 - 17 Apr 2015 Association for Computing Machinery (ACM). pp. 1242-1244 https://doi.org/10.1145/2695664.2699495
Using a projectional editor to implement interactive model navigation and view control
Clark, T. and Barn, B. 2015. Using a projectional editor to implement interactive model navigation and view control. Hammoudi, S., Pires, L., Desfray, P., Filipe, J. and Filipe, J. (ed.) 3rd International Conference on Model-Driven Engineering and Software Development. Loire Valley, France 09 - 11 Feb 2015 SCITEPRESS - Science and Technology Publications. pp. 338-345
Using simulation to address intrinsic complexity in multi-modelling of enterprises for decision making
Kulkarni, V., Barat, S., Clark, T. and Barn, B. 2015. Using simulation to address intrinsic complexity in multi-modelling of enterprises for decision making. Mittal, S., Moon, I. and Syriani, E. (ed.) SummerSim '15: 2015 Summer Simulation Multiconference. Chicago, Illinois, USA 26 - 29 Jul 2015 Society for Modeling and Simulation International. https://doi.org/10.5555/2874916.2874925
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
On the perspective transformation for efficient relay placement in wireless multicast networks
Vien, Q., Nguyen, H., Barn, B. and Tran, X. 2015. On the perspective transformation for efficient relay placement in wireless multicast networks. IEEE Communications Letters. 19 (2), pp. 275-278. https://doi.org/10.1109/LCOMM.2014.2387163
On the role of value sensitive concerns in software engineering practice
Barn, B., Barn, R. and Raimondi, F. 2015. On the role of value sensitive concerns in software engineering practice. 37th International Conference on Software Engineering, ICSE 2015. Florence, Italy 16 - 24 May 2015 IEEE. pp. 497-500 https://doi.org/10.1109/ICSE.2015.182
An approach to early evaluation of informational privacy requirements
Barn, B., Primiero, G. and Barn, R. 2015. An approach to early evaluation of informational privacy requirements. 30th Annual ACM Symposium on Applied Computing. Salamanca, Spain 13 - 17 Apr 2015 Association for Computing Machinery (ACM). pp. 1370-1375 https://doi.org/10.1145/2695664.2695788
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
Towards the model driven organization
Clark, T., Kulkarni, V., Barn, B., France, R., Frank, U. and Turk, D. 2014. Towards the model driven organization. 47th Hawaii International Conference on System Sciences, HICSS 2014. Waikoloa, Hawaii, USA 06 - 09 Jan 2014 IEEE. pp. 4817-4826 https://doi.org/10.1109/HICSS.2014.591
Guest editorial to the Theme Section on enterprise modelling
Clark, T., Matthes, F., Barn, B. and Brown, A. 2014. Guest editorial to the Theme Section on enterprise modelling. Software and Systems Modeling. https://doi.org/10.1007/s10270-013-0327-7
A component abstraction for localized, composable, machine manipulable enterprise specification
Kulkarni, V., Clark, T. and Barn, B. 2014. A component abstraction for localized, composable, machine manipulable enterprise specification. Shishkov, B. (ed.) 4th International Symposium on Business Modeling and Software Design. Luxembourg, Luxembourg 24 - 26 Jun 2014 SCITEPRESS - Science and Technology Publications. pp. 180-185 https://doi.org/10.5220/0005425801800185
Automated completeness check in KAOS
Nwokeji, J., Clark, T., Barn, B. and Kulkarni, V. 2014. Automated completeness check in KAOS. Indulska, M. and Purao, S. (ed.) 33rd International Conference on Conceptual Modeling. Atlanta, United States 27 - 29 Oct 2014 Cham Springer. https://doi.org/10.1007/978-3-319-12256-4_14
Model based enterprise simulation and analysis: a pragmatic approach reducing the burden on experts
Kulkarni, V., Clark, T., Barat, S. and Barn, B. 2014. Model based enterprise simulation and analysis: a pragmatic approach reducing the burden on experts. Indulska, M. and Purao, S. (ed.) 33rd International Conference on Conceptual Modeling. Atlanta, United States 27 - 29 Oct 2014 Cham Springer. pp. 3-12 https://doi.org/10.1007/978-3-319-12256-4_1
Modelling, simulation, and analysis for enterprise architecture
Clark, T., Barn, B. and Kulkarni, V. 2014. Modelling, simulation, and analysis for enterprise architecture. in: García Díaz, V., Cueva Lovelle, J. and García-Bustelo, B. (ed.) Handbook of Research on Innovations in Systems and Software Engineering IGI Global. pp. 202-236
Dynamic reconfiguration of component-based systems: a feature reification approach
Clark, T., Barn, B. and Kulkarni, V. 2014. Dynamic reconfiguration of component-based systems: a feature reification approach. in: Ramanathan, R. and Raja, K. (ed.) Handbook of Research on Architectural Trends in Service-Driven Computing IGI Global. pp. 76
Young people and smart phones: an empirical study on information security
Barn, B., Barn, R. and Tan, J. 2014. Young people and smart phones: an empirical study on information security. 47th Hawaii International Conference on System Sciences, HICSS 2014. Waikoloa, Hawaii, USA 06 - 09 Jan 2014 IEEE. pp. 4504-4514 https://doi.org/10.1109/HICSS.2014.554
Domain-specific reasoning for method engineering based on Toulmin's argumentation theory
Bittman, S., Barn, B. and Clark, T. 2014. Domain-specific reasoning for method engineering based on Toulmin's argumentation theory. International Journal of Knowledge and Learning (IJKL),. 9 (1/2), pp. 104-123. https://doi.org/10.1504/IJKL.2014.067173
Slrtool: a tool to support collaborative systematic literature reviews
Barn, B., Raimondi, F., Athiappan, L. and Clark, T. 2014. Slrtool: a tool to support collaborative systematic literature reviews. 16th International Conference on Enterprise Information Systems. Lisbon, Portugal 27 - 30 Apr 2014 SCITEPRESS - Science and Technology Publications. pp. 440-447 https://doi.org/10.5220/0004972204400447
Next generation enterprise modelling: the role of organizational theory and multi-agent systems
Barn, B., Clark, T. and Kulkarni, V. 2014. Next generation enterprise modelling: the role of organizational theory and multi-agent systems. 9th International Conference on Software Engineering and Applications. Vienna, Austria 29 - 31 Aug 2014 SCITEPRESS - Science and Technology Publications. pp. 482-487 https://doi.org/10.5220/0005097404820487
Outsourcing service provision through step-wise transformation
Clark, T. and Barn, B. 2014. Outsourcing service provision through step-wise transformation. 7th India Software Engineering Conference. Chennai, India 19 - 21 Feb 2014 Association for Computing Machinery (ACM). https://doi.org/10.1145/2590748.2590756
An efficient cooperative spectrum sensing under bandwidth constraint with user selection
Vien, Q., Nguyen, H., Gemikonakli, O. and Barn, B. 2014. An efficient cooperative spectrum sensing under bandwidth constraint with user selection. 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall). Vancouver, BC, Canada 14 - 17 Sep 2014 IEEE. pp. 1-5 https://doi.org/10.1109/VTCFall.2014.6965868
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
Performance analysis of cooperative transmission for cognitive wireless relay networks
Vien, Q., Nguyen, H., Gemikonakli, O. and Barn, B. 2013. Performance analysis of cooperative transmission for cognitive wireless relay networks. 2013 IEEE Global Communications Conference (GLOBECOM). Atlanta, GA, USA 09 - 13 Dec 2013 IEEE. pp. 4186-4191 https://doi.org/10.1109/GLOCOM.2013.6831730
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.
User behaviour: searching for scholarly material using electronic resource discovery systems
Stelmaszewska, H., Wong, B., Bhimani, N. and Barn, B. 2010. User behaviour: searching for scholarly material using electronic resource discovery systems. in: BCS '10 Proceedings of the 24th BCS Interaction Specialist Group Conference British Computer Society. pp. 17-26
Dynamic reconfiguration of event driven architecture using reflection and higher-order functions
Clark, T. and Barn, B. 2013. Dynamic reconfiguration of event driven architecture using reflection and higher-order functions. International Journal of Software and Informatics. 7 (2), pp. 137-168.
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. in: Gemert-Pijnen, L., Ossebaard, H. and Hämäläinen, P. (ed.) eTELEMED 2011, The Third International Conference on eHealth, Telemedicine, and Social Medicine IARIA. pp. 7-12
Towards the model driven organization: Introduction to the 1st AMINO workshop
Barn, B., Clark, T., France, R., Frank, U., Kulkarni, V. and Turk, D. 2013. Towards the model driven organization: Introduction to the 1st AMINO workshop. France, R., Combemale, B., De Antoni, J., Frank, U. and Barn, B. (ed.) 1st International Workshop: Towards the Model Driven Organization. Miami; United States 29 Sep - 04 Oct 2013 CEUR-WS.
A model-based approach to aligning business goals with enterprise architecture
Clark, T. and Barn, B. 2013. A model-based approach to aligning business goals with enterprise architecture. in: Progressions and Innovations in Model-Driven Software Engineering IGI Global. pp. 252-274
A color histogram measure and its application to image segmentation
Zheng, Y., Zheng, L., Shi, D. and Barn, B. 2013. A color histogram measure and its application to image segmentation. 2013 International Conference on Machine Learning and Cybernetics. Tianjin, China 14 - 17 Jul 2013 IEEE. pp. 1480-1482
Enterprise architecture coherence and the model driven enterprise: is simulation the answer or are we flying kites?
Barn, B., Clark, T. and Loomes, M. 2013. Enterprise architecture coherence and the model driven enterprise: is simulation the answer or are we flying kites? 6th India Software Engineering Conference. New Delhi, India 21 - 23 Feb 2013 Association for Computing Machinery (ACM). pp. 97-102 https://doi.org/10.1145/2442754.2442769
Domain specific languages for the model driven organization
Clark, T., Frank, U., Kulkarni, V., Barn, B. and Turk, D. 2013. Domain specific languages for the model driven organization. 1st Workshop on the Globalization of Domain Specific Languages. Montpellier, France 01 - 01 Jul 2013 Association for Computing Machinery (ACM). pp. 22-27 https://doi.org/10.1145/2489812.2489818
A proposal for consolidated intentional modeling language
Nwokeji, J., Clark, T. and Barn, B. 2013. A proposal for consolidated intentional modeling language. Kern, H., Tolvanen, J. and Bottoni, P. (ed.) 2nd Workshop on Graphical Modeling Language Development. Montpellier, France 02 - 02 Jul 2013 Association for Computing Machinery (ACM). pp. 12-22 https://doi.org/10.1145/2489820.2489826
Towards a comprehensive meta-model for KAOS
Nwokeji, J., Clark, T. and Barn, B. 2013. Towards a comprehensive meta-model for KAOS. 3rd International Workshop on Model-Driven Requirements Engineering. Rio de Janeiro, Brazil 15 - 15 Jul 2016 IEEE. pp. 30-39 https://doi.org/10.1109/modre.2013.6597261
Domain engineering for software tools
Clark, T. and Barn, B. 2013. Domain engineering for software tools. in: Reinhartz-Berger, I., Sturm, A., Clark, T., Cohen, S. and Bettin, J. (ed.) Domain Engineering: Product Lines, Languages, and Conceptual Models Berlin, Heidelberg Springer. pp. 187-209
Introducing argumentative and discursive enterprise leading and management
Bittmann, S., Barn, B., Clark, T. and Thomas, O. 2013. Introducing argumentative and discursive enterprise leading and management. Combemale, B., De Antoni, J., France, R., Barn, B., Clark, T., Frank, U., Kulkarni, V. and Turk, D. (ed.) 1st International Workshop: Towards the Model Driven Organization. Miami; United States 29 Sep - 04 Oct 2013 CEUR-WS.
Modelling and enterprises: The past, the present and the future
Kulkarni, V., Roychoudhury, S., Sunkle, S., Clark, T. and Barn, B. 2013. Modelling and enterprises: The past, the present and the future. Hammoudi, S., Pires, L., Filipe, J. and Neves, R. (ed.) 1st International Conference on Model-Driven Engineering and Software Development. Barcelona, Spain 19 - 21 Feb 2013 SCITEPRESS - Science and Technology Publications. pp. 95-100 https://doi.org/10.5220/0004310700950100
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
Simulating enterprise architecture models
Clark, T., Barn, B., Oussena, S. and Infosys 2012. Simulating enterprise architecture models. Infosys Journal of Research. 10 (3), pp. 3-20.
bCMS in LEAP
Clark, T. and Barn, B. 2012. bCMS in LEAP. Comparing Modeling Approaches. Innsbruck, Austria 30 Sep 2012
Business and ICT alignment in higher education: a case study in measuring maturity
Barn, B., Clark, T. and Hearne, G. 2012. Business and ICT alignment in higher education: a case study in measuring maturity. 21st International Conference on Information Systems Development (ISD2012). Prato, Italy 29 - 30 Aug 2012
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. 2012. Retrieval of 3D medical images via their texture features. International Journal on Advances in Software. 4 (3&4), pp. 499-509.
Revisiting Naur's programming as theory building for Enterprise Architecture modelling
Barn, B. and Clark, T. 2011. Revisiting Naur's programming as theory building for Enterprise Architecture modelling. Mouratidis, H. and Rolland, C. (ed.) CAiSE: 23rd International Conference on Advanced Information Systems Engineering. University of East London, UK 20 - 24 Jun 2011 Springer. https://doi.org/10.1007/978-3-642-21640-4_18
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
Modeling as theory building: addressing knowledge management problems in system engineering.
Clark, T. and Barn, B. 2011. Modeling as theory building: addressing knowledge management problems in system engineering. SETLabs Briefings.
Event driven architecture modelling and simulation
Clark, T. and Barn, B. 2011. Event driven architecture modelling and simulation. 2011 IEEE 6th International Symposium on Service Oriented System Engineering (SOSE). Irvine, CA, USA 12 - 14 Dec 2011 IEEE. pp. 43-54 https://doi.org/10.1109/SOSE.2011.6139091
Assessing composition in modeling approaches
Mussbacher, G., Alam, O., Alhaj, M., Ali, S., Amálio, N., Barn, B., Bræk, R., Clark, T., Combemale, B., Cysneiros, L.M., Fatima, U., France, R., Georg, G., Horkoff, J., Kienzle, J., Leite, J.C., Lethbridge, T.C., Luckey, M., Moreira, A., Mutz, F., Oliveira, A.P.A., Petriu, D.C., Schöttle, M., Troup, L. and Werneck, V.M.B. 2012. Assessing composition in modeling approaches. New York Association for Computing Machinery (ACM). https://doi.org/10.1145/2459031.2459032
Curriculum design tools: Using information modelling for course transformation and mapping
Dafoulas, G., Barn, B. and Zheng, Y. 2012. Curriculum design tools: Using information modelling for course transformation and mapping. 11th International Conference on Information Technology Based Higher Education and Training. Istanbul, Turkey 21 - 23 Jun 2012 IEEE. https://doi.org/10.1109/ITHET.2012.6246064
A common basis for modelling service-oriented and event-driven architecture
Clark, T. and Barn, B. 2012. A common basis for modelling service-oriented and event-driven architecture. 5th India Software Engineering Conference. Kanpur, India 22 - 25 Feb 2012 Association for Computing Machinery (ACM). pp. 23-32 https://doi.org/10.1145/2134254.2134258
A model based approach to systems requirements for event driven enterprise architecture
Barn, B., Clark, T. and Oussena, S. 2012. A model based approach to systems requirements for event driven enterprise architecture. 5th India Software Engineering Conference. Kanpur, India 22 - 25 Feb 2012
A method for enterprise architecture alignment
Clark, T., Barn, B. and Oussena, S. 2012. A method for enterprise architecture alignment. Proper, E., Gaaloul, K., Harmsen, F. and Wrycza, S. (ed.) 4th Working Conference on Practice-Driven Research on Enterprise Transformation. Gdańsk, Poland 27 Jun 2012 Springer. pp. 48-76 https://doi.org/10.1007/978-3-642-31134-5_3
Goal based alignment of enterprise architectures
Barn, B. and Clark, T. 2012. Goal based alignment of enterprise architectures. 7th International Conference on Software Paradigm Trends (ICSOFT 2012). Rome, Italy 24 - 27 Jul 2012
Using learning management systems as support mechanisms for formative feedback – the case of lifelong learning.
Dafoulas, G., Barn, B., Abeysinghe, G., Zheng, Y., Swigger, K., Brazile, R., Alpaslan, F., Serce, F. and Lopez, V. 2010. Using learning management systems as support mechanisms for formative feedback – the case of lifelong learning. in: EDULEARN10 Proceedings. International Association of Technology, Education and Development (IATED). pp. 2614-2622
Revisiting Naur’s programming as theory building for enterprise architecture modelling
Barn, B. and Clark, T. 2011. Revisiting Naur’s programming as theory building for enterprise architecture modelling. in: Mouratidis, H. and Rolland, C. (ed.) Advanced information systems engineering: 23rd International Conference, CAiSE 2011, London, UK, June 20-24, 2011. Proceedings Springer.
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
Re-thinking software engineering approaches: a critical reflection on theory building
Barn, B. and Clark, T. 2011. Re-thinking software engineering approaches: a critical reflection on theory building. Cuaresma, M., Shishkov, B. and Cordeiro, J. (ed.) ICSOFT 2011: 6th International Conference on Software and Database Technologies. Seville, Spain 18 - 21 Jul 2011 SCITEPRESS - Science and Technology Publications. pp. 59-64 https://doi.org/10.5220/0003610700590064
LEAP: a precise lightweight framework for enterprise architecture
Clark, T., Barn, B. and Oussena, S. 2011. LEAP: a precise lightweight framework for enterprise architecture. 4th India Software Engineering Conference. Thiruvananthapuram, India 23 - 26 Feb 2011 Association for Computing Machinery (ACM). https://doi.org/10.1145/1953355.1953366
Applying component concepts to service oriented design: a case study.
Barn, B. and Oussena, S. 2007. Applying component concepts to service oriented design: a case study. Sinderen, M. (ed.) Institute for Systems and Technologies of Information, Control and Communication. pp. 31-41
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
A domain specific language for contextual design
Barn, B. and Clark, T. 2010. A domain specific language for contextual design. Bernhaupt, R., Forbrig, P., Gulliksen, J. and Lárusdóttir, M. (ed.) 3rd International Conference on Human-Centred Software Engineering (HCSE 2010). Reykjavik, Iceland 14 - 15 Oct 2010 Berlin, Heidelberg. Springer. https://doi.org/10.1007/978-3-642-16488-0_5
BPMN, toolsets, and methodology: a case study of business process management in higher education
Barn, B. and Oussena, S. 2009. BPMN, toolsets, and methodology: a case study of business process management in higher education. in: Papadopoulos, G., Wojtkowski, W., Wojtkowski, G., Wrycza, S. and Zupancic, J. (ed.) Information systems development: Towards a service provision society Boston, MA Springer. pp. 685-693
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
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
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
A mobile social software application to support work based learning in social work
Barn, B., Oussena, S. and Barn, R. 2009. A mobile social software application to support work based learning in social work. Kinshuk, Sampson, D., Spector, J., Isaías, P. and Ifenthaler, D. (ed.) 2009 IADIS International Conference on Cognition and Exploratory Learning in Digital Age. Rome, Italy 20 - 22 Nov 2009 pp. 227-234
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.
An e-learning support toolkit for social work students on placement
Zhang, P., Wills, G., Howard, Y., Oussena, S., Kramer, D., Barn, R. and Barn, B. 2009. An e-learning support toolkit for social work students on placement. Nunes, M. and McPherson, M. (ed.) IADIS International Conference e-Learning 2009, Part of the IADIS Multi Conference on Computer Science and Information Systems, MCCSIS 2009. Algarve, Portugal 17 - 20 Jun 2009 IADIS.
A framework for testing SOA applications
Oussena, S., Barn, B. and Sparks, D. 2009. A framework for testing SOA applications. ICSOFT 2009: 4th International Conference on Software and Data Technologies. Sofia, Bulgaria 26 - 29 Jul 2009 Sofia, Bulgaria Institute for Systems and Technologies of Information, Control and Communication. pp. 53-60 https://doi.org/10.5220/0002257200530060
Layered process models: analysis and implementation (using MDA principles)
Oussena, S. and Barn, B. 2009. Layered process models: analysis and implementation (using MDA principles). Cordeiro, J. and Filipe, J. (ed.) 11th International Conference on Enterprise Information Systems. Milan; Italy 06 - 10 May 2009 Institute for Systems and Technologies of Information, Control and Communication. pp. 168-175
On the evaluation of reference models for software engineering practice
Barn, B. 2009. On the evaluation of reference models for software engineering practice. 2nd India Software Engineering Conference. Pune, India 23 - 26 Feb 2009 Association for Computing Machinery (ACM). pp. 111-116 https://doi.org/10.1145/1506216.1506238
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.
A comparative study on the analysis of students interactions in e-learning
Hijon-Neira, R., Velazquez-Iturbide, J., Barn, B. and Oussena, S. 2008. A comparative study on the analysis of students interactions in e-learning. 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. Santander, Spain 01 - 05 Jul 2008 IEEE. pp. 20-22 https://doi.org/10.1109/ICALT.2008.282
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
SOA-MDK: Towards a method development kit for service oriented system development
Barn, B., Dexter, H., Oussena, S. and Sparks, D. 2007. SOA-MDK: Towards a method development kit for service oriented system development. Magyar, G., Knapp, G., Wojtkowski, W., Wojtkowski, W. and Zupančič, J. (ed.) 15th International Conference on Information Systems Development. New York, NY Springer. pp. 191-201 https://doi.org/10.1007/978-0-387-70761-7_16
BPEL patterns for implementing variations in SOA applications
Oussena, S., Sparks, D. and Barn, B. 2007. BPEL patterns for implementing variations in SOA applications. Cardoso, J., Cordeiro, J. and Filipe, J. (ed.) 9th International Conference on Enterprise Information Systems. Funchal, Portugal 12 - 16 Jun 2007 Institute for Systems and Technologies of Information, Control and Communication. pp. 295-300 https://doi.org/10.5220/0002393802950300
An experiment with conversation theory as a candidate for a meta learning theory
Barn, B. and Dexter, H. 2007. An experiment with conversation theory as a candidate for a meta learning theory. Uskov, V. (ed.) 10th IASTED International Conference on Computers and Advanced Technology in Education. Beijing, China 08 - 10 Oct 2007 Acta Press. pp. 115-120
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
Conceptual modeling of educational theories: an ontological approach
Barn, B. 2006. Conceptual modeling of educational theories: an ontological approach. IADIS International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2006. Barcelona, Spain 08 - 10 Dec 2006 IADIS. pp. 45-51
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
From components to web based services
Barn, B. 2004. From components to web based services. Seruca, I., Filipe, J., Hammoudi, S. and Cordeiro, J. (ed.) 6th International Conference on Enterprise Information Systems. Porto, Portugal 14 - 17 Apr 2004 Institute for Systems and Technologies of Information, Control and Communication.
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
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
Supporting virtual enterprise design by a web-based information model
Li, D., Barn, B. and McKay, A. 2001. Supporting virtual enterprise design by a web-based information model. Intelligent Systems and Advanced Manufacturing, 2001. Boston, MA, United States 28 - 31 Oct 2001 SPIE. https://doi.org/10.1117/12.443151
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
Graphical interaction management
Barn, B. and Willis, P. 1987. Graphical interaction management. Computer Graphics Forum. 6 (2), pp. 119-124. https://doi.org/10.1111/j.1467-8659.1987.tb00358.x