Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model

Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
Dianati-Nasab, Mostafa, Salimifard, Khodakaram, Mohammadi, Reza, Saadatmand, Sara, Fararouei, Mohammad, Hosseini, Kosar S., Jiavid-Sharifi, Behshid, Chaussalet, Thierry and Dehdar, Samira 2024. Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study. Frontiers in Oncology. 13 1276232. https://doi.org/10.3389/fonc.2023.1276232

Editorial: Women in AI medicine and public health 2022
Lin-Ching Chang and Anastasia Angelopoulou 2023. Editorial: Women in AI medicine and public health 2022. Frontiers in Big Data. 6 1303367. https://doi.org/10.3389/fdata.2023.1303367

A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining
Kandasamy, Nichalini, Chaussalet, Thierry and Basukoski, Artie 2023. A Conceptual Framework to Predict Disease Progressions in Patients with Chronic Kidney Disease, Using Machine Learning and Process Mining. in: Healthcare Transformation with Informatics and Artificial Intelligence IOS Press. pp. 190-193

Discovering Process Models from Patient Notes
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2023. Discovering Process Models from Patient Notes. 23rd International Conference on Computational Science (ICCS-23). Prague 03 - 05 Jul 2023 Springer. https://doi.org/10.1007/978-3-031-36024-4_18

A transfer learning-based system for grading breast invasive ductal carcinoma
Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Angelopoulou, A., Kapetanios, E., Parvathaneni Naga Srinivasu and Duraisamy Jude Hemanth 2023. A transfer learning-based system for grading breast invasive ductal carcinoma. IET Image Processing. 17 (7), pp. 1979-1990. https://doi.org/10.1049/ipr2.12660

An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification
Al Batat, R., Angelopoulou, A., Premkumar, S., Hemanth, J. and Kapetanios, D.E. 2022. An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification. Sensors. 22 9477. https://doi.org/10.3390/s22239477

Editorial: Explanation in Human-AI Systems
Kapetanios, D.E., Angelopoulou, A., Smith, D.H., Steuber, V., Woll, B. and Zeller, F. 2022. Editorial: Explanation in Human-AI Systems. Frontiers in Artificial Intelligence. 5 1048568. https://doi.org/10.3389/frai.2022.1048568

Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications
Mohammad Harris, Hongwei Wu, Wenbin Zhang and Angelopoulou, A. 2022. Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications. Chemical Engineering and Processing - Process Intensification. 181 109155. https://doi.org/10.1016/j.cep.2022.109155

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence.
Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H and Chaussalet, Thierry J 2022. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Computers & industrial engineering. 172, p. 108603. https://doi.org/10.1016/j.cie.2022.108603

Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining
Vali, M., Salimifard, K., Gandomi, A.H. and Chaussalet, T.J. 2022. Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining. Annals of Operations Research. 318, pp. 685-712. https://doi.org/10.1007/s10479-022-04831-z

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort.
Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E A, Soria, Daniele, Dwek, Miriam V, Aguado-Barrera, Miguel E, Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S, de Ruysscher, Dirk, de Santis, Maria C, Seibold, Petra, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J, Vakaet, Vincent J L, Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R, Webb, Adam, Weltens, Caroline, West, Catharine M, Chaussalet, Thierry J, Rattay, Tim and REQUITE consortium 2022. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort. Advances in radiation oncology. 7 (3) 100890. https://doi.org/10.1016/j.adro.2021.100890

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Smera Premkumar, K., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_15

Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach
Nazyrova, N., Chaussalet, T.J. and Chahed, S. 2022. Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_12

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.
Pandey, Sanjib Raj, Smith, Alan, Gall, Edmund Nigel, Bhatnagar, Ajay and Chaussalet, Thierry 2022. A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. Studies in Health Technology and Informatics. 289, pp. 321-324. https://doi.org/10.3233/SHTI210924

Hybrid deep convolutional neural models for iris image recognition
Jenkin Winston, J., Hemmanth, J., Angelopoulou, A. and Kapetanios, E. 2022. Hybrid deep convolutional neural models for iris image recognition. Multimedia Tools and Applications. 81, pp. 9481-9503. https://doi.org/10.1007/s11042-021-11482-y

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit
Aldraimli, M., Nazyrova, N., Djumanov, A., Sobirov, I. and Chaussalet, T.J. 2022. A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit . Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E. and Staneva, G. (ed.) International Symposium on Bioinformatics and Biomedicine. Burgas, Bulgaria 08 - 10 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-96638-6_2

Comparative analysis of clustering-based remaining-time predictive process monitoring approaches
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2022. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. International Journal of Business Process Integration and Management. 10 (3/4), pp. 230-241. https://doi.org/10.1504/IJBPIM.2021.124023

A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy
Aldraimli, M., Soria, D., Grishchuck, D., Ingram, S., Lyon, R., Mistry, A., Oliveira, J., Samuel, R., Shelley, L.E.A., Osman, S., Dwek, M., Azria, D., Chang-Claude, J., Gutiérrez-Enríquez, S., De Santis, M.C., Rosenstein, B.S., De Ruysscher, D., Sperk, E., Symonds, R.P., Stobart, H., Vega, A., Veldeman, L., Webb, A, Christopher, J.T., West, C.M., Rattay, T., REQUITE consortium and Chaussalet, T.J. 2021. A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy. Computers in Biology and Medicine. 135 104624. https://doi.org/10.1016/j.compbiomed.2021.104624

Incorporating spatial context into remaining-time predictive process monitoring
Ogunbiyi, Niyi, Basukoski, Artie and Chaussalet, Thierry 2021. Incorporating spatial context into remaining-time predictive process monitoring. 36th Annual ACM Symposium on Applied Computing. Virtual Event Republic of Korea 22 - 26 Mar 2021 ACM. https://doi.org/10.1145/3412841.3441933

An Exploration of Ethical Decision Making with Intelligence Augmentation
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2021. An Exploration of Ethical Decision Making with Intelligence Augmentation. Social Sciences. 10 (2) 57. https://doi.org/10.3390/socsci10020057

Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis
Vali, M., Salimifard, K. and Chaussalet, T. 2021. Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis. in: Masmoudi M., Jarboui B. and Siarry P. (ed.) Operations Research and Simulation in Healthcare Springer. pp. 193-207

A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
Liang, X., Angelopoulou, A., Kapetanios, E., Woll, B. and Al Batat, R. 2021. A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. Adrien Bartoli and Andrea Fusiello (ed.) Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference. Springer. https://doi.org/10.1007/978-3-030-66096-3_20

Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach
Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach. Information. 12 (1) 11. https://doi.org/10.3390/info12010011

A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment
Fernández Montenegro, Juan Manuel, Villarini, B., Angelopoulou, A., Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) e7292. https://doi.org/10.3390/s20247292

Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach
Ogunbiyi, N., Basukoski, A. and Chaussalet, T.J. 2020. Investigating Social Contextual Factors in Remaining-Time Predictive Process Monitoring—A Survival Analysis Approach. Algorithms. 13 (11), p. e267. https://doi.org/10.3390/a13110267

Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Thomas, E.L., Bell, J.D., Dwek, M. and Chaussalet, T.J. 2020. Machine Learning Prediction of Susceptibility to Visceral Fat Associated Diseases. Health and Technology. 10, pp. 925-944. https://doi.org/10.1007/s12553-020-00446-1

Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships
Kapetanios, E., Sugumaran, V. and Angelopoulou, A. 2020. Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships. arXiv:2004.14265. https://doi.org/arXiv:2004.14265

Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language
Xing Liang, Bencie Woll, Kapetanios, E., Angelopoulou, A. and Reda Al batat 2020. Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. LREC 2020, 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives. Marseille 11 - 16 May 2020 European Language Resources Association (ELRA).

Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation
Flynn, M., Effraimidis, D., Angelopoulou, A., Kapetanios, E., Williams, D., Hemanth, J. and Towell, T. 2020. Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation. Frontiers in Human Neuroscience. 14 70. https://doi.org/10.3389/fnhum.2020.00070

Feature Extraction Techniques for Human Emotion Identification from Face Images
M. Kalpana Chowdary, D.Jude Hemanth, Angelopoulou, A. and Kapetanios, E. 2019. Feature Extraction Techniques for Human Emotion Identification from Face Images. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1173

Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network
Jenkin Winston, J., Jude Hemanth, D., Angelopoulou, A. and Kapetanios, E. 2019. Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1171

Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases
Aldraimli, M., Soria, D., Parkinson, J., Whitcher, B., Thomas, E.L., Bell, J.D., Chaussalet, T.J. and Dwek, M. 2019. Machine Learning Classification of Females Susceptibility to Visceral Fat Associated Diseases. MEDICON 2019: XV Mediterranean Conference on Medical and Biological Engineering and Computing. Coimbra, Portugal 26 - 28 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-31635-8_81

Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty
He, F., Chaussalet, T.J. and Qu, R. 2019. Controlling Understaffing with Conditional Value-at-Risk Constraint for an Integrated Nurse Scheduling Problem under Patient Demand Uncertainty. Operations Research Perspectives. 6 (2019), p. 100119 100119. https://doi.org/10.1016/j.orp.2019.100119

Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language
Liang, X., Kapetanios, D.E., Woll, B. and Angelopoulou, A. 2019. Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. in: Machine Learning and Knowledge Extraction. CD-MAKE 2019 Springer.

Brain-Inspired Intelligent Systems for Daily Assistance
Angelopoulou, A., Garcia-Rodriguez, J., Kapetanios, D.E., Roth, P.M. and Revett, K. 2019. Brain-Inspired Intelligent Systems for Daily Assistance. Computational Intelligence and Neuroscience. 2019 7597839. https://doi.org/10.1155/2019/7597839

Complex Methods Applied to Data Analysis, Processing, and Visualisation
Garcia Rodriguez, J., Angelopoulou, A., David Tomas and Lewis, A. 2019. Complex Methods Applied to Data Analysis, Processing, and Visualisation. Complexity. 2019 9316123. https://doi.org/10.1155/2019/9316123

Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK
He, F., Chaussalet, T.J. and Qu, R. 2019. Modelling the Home Health Care Nurse Scheduling Problem for Patients with Long-Term Conditions in the UK. 33rd International ECMS Conference on modelling and Simulation. Universita degli Studi della Campania, Caserta, Area of Napoli, Italy 11 - 14 Jun 2019 European Council for Modeling and Simulation. https://doi.org/10.7148/2019-0317

Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records
Zebin, T. and Chaussalet, T.J. 2019. Design and implementation of a deep recurrent model for prediction of readmission in urgent care using electronic health records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791466

A deep learning approach for length of stay prediction in clinical settings from medical records
Zebin, T., Rezvy, S. and Chaussalet, T.J. 2019. A deep learning approach for length of stay prediction in clinical settings from medical records. 16th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology. Certosa di Pontignano, Siena - Tuscany, Italy 09 - 11 Jul 2019 IEEE . https://doi.org/10.1109/CIBCB.2019.8791477

Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network
Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Kapetanios, D.E., Liang, X., Woll, B. and Psarrou, A. 2019. Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network. Pattern Analysis and Applications. 22 (4), p. 1667–1685. https://doi.org/10.1007/s10044-019-00819-x

Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2019. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment. Applied Soft Computing. 79, pp. 163-185. https://doi.org/10.1016/j.asoc.2019.03.015

Transformation of UML Activity Diagram for Enhanced Reasoning
Chishti, I., Basukoski, A., Chaussalet, T.J. and Beeknoo, N. 2018. Transformation of UML Activity Diagram for Enhanced Reasoning. Future Technologies Conference 2018. Vancouver, Canada 13 - 14 Nov 2018 Springer. https://doi.org/10.1007/978-3-030-02683-7_33

Discovering Business Processes in CRM Systems by leveraging unstructured text data
Banziger, R.B., Basukoski, A. and Chaussalet, T.J. 2018. Discovering Business Processes in CRM Systems by leveraging unstructured text data. The 4th IEEE International Conference on Data Science and Systems (DSS-2018). Exeter, UK 28 - 30 Jun 2018 IEEE . https://doi.org/10.1109/HPCC/SmartCity/DSS.2018.00257

Modeling Patient Flows: A Temporal Logic Approach
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2018. Modeling Patient Flows: A Temporal Logic Approach. Journal On Computing. 6 (1) 1516. https://doi.org/10.5176/2251-3043_6.1.107

Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors
El-Abbasy, K., Angelopoulou, A. and Towell, A. 2018. Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors. 10th International Conference on Computer Supported Education. Madeira, Portugal 15 - 17 Mar 2018 SCITEPRESS. https://doi.org/10.5220/0006788202780284

Fast 2D/3D object representation with growing neural gas
Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Gupta, G. and Psarrou, A. 2018. Fast 2D/3D object representation with growing neural gas. Neural Computing and Applications. 29 (10), pp. 903-919. https://doi.org/10.1007/s00521-016-2579-y

Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality
Worrall, P. and Chaussalet, T.J. 2017. Care Home Quality Scorecard: A scorecard inspired approach to benchmark care home quality. Operational Research Applied to Health Services. Bath, UK 24 - 28 Jul 2017

Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner
Chaussalet, T.J., Mesgarpour, M., Worrall, P. and Chahed, S. 2017. Emergency Readmission for Integrated Care (ERIC) Model: Using an Automated Feature Generation & a Multi-Task Learner. Operational Research Applied to Health Services 2017. Bath, UK 24 - 28 Jul 2017

Modeling and Optimizing Patient Flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2017. Modeling and Optimizing Patient Flows. 8th Annual International Conference on ICT: Big Data, Cloud & Security. Singapore 21 - 22 Aug 2017 Global Science & Technology Forum. https://doi.org/10.5176/2251-2136_ICT-BDCS17.52

Ensemble Risk Model of Emergency Admissions (ERMER)
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2017. Ensemble Risk Model of Emergency Admissions (ERMER). International Journal of Medical Informatics. 103, pp. 65-77. https://doi.org/10.1016/j.ijmedinf.2017.04.010

Towards a threshold climate for emergency lower respiratory hospital admissions
Islam, M.S., Chaussalet, T.J. and Koizumi, N. 2017. Towards a threshold climate for emergency lower respiratory hospital admissions. Environmental Research. 153, pp. 41-47. https://doi.org/10.1016/j.envres.2016.11.011

Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration
Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J. and Mentzelopoulos, M. 2016. Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration. Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16). Finland 12 - 15 Dec 2016 IEEE . https://doi.org/10.1109/IPTA.2016.7820990

A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows
Chishti, I., Chaussalet, T.J. and Basukoski, A. 2016. A general framework for Business Process Modelling (BPM) based on Formal Temporal Theory with an application to Hospital Patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Business Process Modelling based on formal temporal theory with an application to hospital patient flows
Chishti, I., Basukoski, A. and Chaussalet, T.J. 2016. Business Process Modelling based on formal temporal theory with an application to hospital patient flows. 8th IMA International Conference on Quantitative Modelling in the Management of Health and Social Care. Asia House, London 21 - 23 Mar 2016 Institute of Mathematics and its Applications.

Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2016. Risk Modelling Framework for Emergency Hospital Readmission, Using Hospital Episode Statistics Inpatient Data. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.21

Predictive Risk Modelling for Integrated Care: a Structured Review
Mesgarpour, M., Chaussalet, T.J., Worrall, P. and Chahed, S. 2016. Predictive Risk Modelling for Integrated Care: a Structured Review. IEEE 29th International Symposium on Computer-Based Medical Systems. Dublin and Belfast 20 - 23 Jun 2016 IEEE . https://doi.org/10.1109/CBMS.2016.34

Is the NHS in England too big to fail?
Dalton, S., Chahed, S. and Chaussalet, T.J. 2016. Is the NHS in England too big to fail? 8th Institute of Mathematics and Its Applications. Asia House, London 21 Mar 2016

Real time motion estimation using a neural architecture implemented on GPUs
Garcia-Rodriguez, J., Orts Escolano, S., Angelopoulou, A., Psarrou, A., Azorin-Lopez, J. and Garcia-Chamizo, J.M. 2016. Real time motion estimation using a neural architecture implemented on GPUs. Journal of Real-Time Image Processing. 11 (4), pp. 731-749. https://doi.org/10.1007/s11554-014-0417-y

A structured review of long-term care demand modelling
Worrall, P. and Chaussalet, T.J. 2015. A structured review of long-term care demand modelling. Health Care Management Science. 18 (2), pp. 173-194. https://doi.org/10.1007/s10729-014-9299-6

Improving the NHS demands more than just extra money [Letter]
Young, T., Brailsford, S., Berry, R., Braun, H., Cordeaux, C., Chaussalet, T.J., Davies, K., Debenedetti, L., Farrar, M., Harper, P.R., King, J., Lacey, P., Lyon, J., Marshall, A., McClean, S., McKelvie, D., Pollard, A., Schmidt, P. and Soorapanth, S. 2015. Improving the NHS demands more than just extra money [Letter]. BMJ. 350, p. h3338. https://doi.org/10.1136/bmj.h3338

Editorial: Neural Processing Letters Special Issue on “Neural Networks for Vision and Robotics”
Garcia-Rodriguez, J., Psarrou, A., Lewis, A., Angelopoulou, A. and Cazorla, M. 2015. Editorial: Neural Processing Letters Special Issue on “Neural Networks for Vision and Robotics”. Neural Processing Letters. 43 (2), pp. 309-310. https://doi.org/10.1007/s11063-015-9435-4

Affective Computing to Enhance E-Learning in Segregated Societies
El-Abbasy, K., Angelopoulou, A. and Towell, A. 2015. Affective Computing to Enhance E-Learning in Segregated Societies. 2015 Imperial College Computing Student Workshop (ICCSW 2015). London 23 Sep 2015 OpenAccess Series in Informatics. https://doi.org/10.4230/OASIcs.ICCSW.2015.13

3D reconstruction of medical images from slices automatically landmarked with growing neural models
Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J., Orts-Escolano, S., Azorin-Lopez, J. and Revett, K. 2015. 3D reconstruction of medical images from slices automatically landmarked with growing neural models. Neurocomputing. 150 (A), pp. 16-25. https://doi.org/10.1016/j.neucom.2014.03.078

Toward simulating the english neonatal unit
Dalton, S., Chahed, S. and Chaussalet, T.J. 2015. Toward simulating the english neonatal unit. 27th European Conference on Operational Reasearch (EURO). University of Strathclyde, Glasgow 13 Jul 2015

A review of dynamic Bayesian network techniques with applications in healthcare risk modelling
Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2014. A review of dynamic Bayesian network techniques with applications in healthcare risk modelling. 4th Student Conference on Operational Research (SCOR14). Nottingham, UK May 2–4, 2014 Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik. https://doi.org/10.4230/OASIcs.SCOR.2014.89

Capacity planning of a perinatal network with generalised loss network model with overflow
Asaduzzaman, M. and Chaussalet, T.J. 2014. Capacity planning of a perinatal network with generalised loss network model with overflow. European Journal of Operational Research. 232 (1), pp. 178-185. https://doi.org/10.1016/j.ejor.2013.06.037

Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes
Adeyemi, S., Demir, E. and Chaussalet, T.J. 2013. Towards an evidence-based decision making healthcare system management: modelling patient pathways to improve clinical outcomes. Decision Support Systems. 55 (1), pp. 117-125. https://doi.org/10.1016/j.dss.2012.12.039

Model probability in self-organising maps
Angelopoulou, A., Psarrou, A., García-Rodríguez, J., Mentzelopoulos, M. and Gupta, G. 2013. Model probability in self-organising maps. Springer.

3D hand pose estimation with neural networks
Serra, J.A., Garcia-Rodriguez, J., Orts Escolano, S., Garcia-Chamizo, J.M., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Montoyo-Bojo, J. and Domínguez, E. 2013. 3D hand pose estimation with neural networks. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.

Football video annotation based on player motion recognition using enhanced entropy
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Football video annotation based on player motion recognition using enhanced entropy. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.

Natural User Interfaces in Volume Visualisation using Microsoft Kinect
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Mentzelopoulos, M., Reddy, B., Orts Escolano, S., Serra, J.A. and Lewis, A. 2013. Natural User Interfaces in Volume Visualisation using Microsoft Kinect. ICIAP 2013 International Workshops. Naples, Italy 09 Sep 2013 Springer. https://doi.org/10.1007/978-3-642-41190-8_2

Adaptive learning in motion analysis with self-organising maps
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Gupta, G. and Mentzelopoulos, M. 2013. Adaptive learning in motion analysis with self-organising maps. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6707135

A semi-parametric approach for football video annotation
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. A semi-parametric approach for football video annotation. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6706720

Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint
Virtue, A., Chaussalet, T.J. and Kelly, J. 2013. Healthcare planning and its potential role increasing operational efficiency in the health sector: a viewpoint. Journal of Enterprise Information Management. 26 (1/2), pp. 8-20. https://doi.org/10.1108/17410391311289523

3D gesture recognition with growing neural gas
Sera-Perez, J.A., Garcia Rodriguez, J., Orts-Escolano, S., García-Chamizo, J.M., Montoyo-Bojo, J., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Lewis, A. and Orts Escolano, S. 2013. 3D gesture recognition with growing neural gas. in: Proceedings of the International Joint Conference in Neural Networks, IJCNN 2013, 2-9 August 2013, Dallas, USA IEEE . pp. 3034-3041

Active foreground region extraction and tracking for sports video annotation
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Active foreground region extraction and tracking for sports video annotation. Neural Processing Letters. 37 (1), pp. 33-46. https://doi.org/10.1007/s11063-012-9267-4

Overcoming the barriers: a qualitative study of simulation adoption in the NHS
Brailsford, S.C., Bolt, T.B., Bucci, G., Chaussalet, T.J., Connell, N.A.D., Harper, P.R., Klein, J.H., Pitt, M. and Taylor, M. 2013. Overcoming the barriers: a qualitative study of simulation adoption in the NHS. Journal of the Operational Research Society. 64 (2), pp. 157-168. https://doi.org/10.1057/jors.2011.130

Forecasting long-term care demand under incomplete information: a grey modelling approach
Worrall, P. and Chaussalet, T.J. 2012. Forecasting long-term care demand under incomplete information: a grey modelling approach. in: 2012 25th International symposium on computer-based medical systems (CBMS), 20-22 June 2012, Rome, Italy IEEE .

Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care
Worrall, P. and Chaussalet, T.J. 2012. Development of a hybrid grey-fuzzy methodology to forecast future demand for long-term care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Healthcare planning: the simulation perspective
Virtue, A., Chaussalet, T.J. and Kelly, J. 2012. Healthcare planning: the simulation perspective. Operational research society simulation workshop 2012 (SW12). Worcestershire, England 27th - 28th March 2012

Using data mining and simulation for health system understanding and capacity planning: an application to urgent care
Tadjer, M., Chaussalet, T.J., Fouladinajed, F. and Chahed, S. 2012. Using data mining and simulation for health system understanding and capacity planning: an application to urgent care. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

A risk analysis method for assessing risks based on interval-valued fuzzy number
Rathi, M. and Chaussalet, T.J. 2012. A risk analysis method for assessing risks based on interval-valued fuzzy number. in: 2012 IEEE International conference on computational intelligence and computing research (ICCIC), 18-20 December 2012, Coimbatore, India IEEE .

Predicting hospital resource utilization: a fuzzy regression approach
Rathi, M. and Chaussalet, T.J. 2012. Predicting hospital resource utilization: a fuzzy regression approach. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London
Islam, M., Chaussalet, T.J., Ozkan, N. and Demir, E. 2012. Nonparametric smoothing of the impact of climate change for some selected diseases: a case study for Greater London. High Tech Human Touch: Proceedings of the 38th ORAHS conference. University of Twente, The Netherlands. 16-20 July 2012

Region analysis through close contour transformation using growing neural gas
Gupta, G., Psarrou, A., Angelopoulou, A. and Garcia Rodriguez, J. 2012. Region analysis through close contour transformation using growing neural gas. in: WCCI 2012 IEEE World Congress on Computational Intelligence, IJCNN, Brisbane, Australia, 10-15 June 2012 IEEE . pp. 1-8

Image segmentation based on semi-greedy region merging
Gupta, G., Psarrou, A. and Angelopoulou, A. 2012. Image segmentation based on semi-greedy region merging. IET Image Processing Conference. University of Westminster 3th - 4th July 2012 Stevenage Institution of Engineering and Technology (IET). pp. 211-214 https://doi.org/10.1049/cp.2012.0431

Building visual surveillance systems with neural networks.
Garcia Rodriguez, J., Angelopoulou, A., Mora-Gimeno, F.J. and Psarrou, A. 2012. Building visual surveillance systems with neural networks. in: Elizondo, D.A., Solanas, A. and Martinez-Balleste, A. (ed.) Computational Intelligence for Privacy and Security Springer.

Profiling hospitals based on emergency readmission: a multilevel transition modelling approach
Demir, E., Chaussalet, T.J., Adeyemi, S. and Toffa, S.E. 2012. Profiling hospitals based on emergency readmission: a multilevel transition modelling approach. Computer Methods and Programs in Biomedicine. 108 (2), pp. 487-499. https://doi.org/10.1016/j.cmpb.2011.03.003

A decision support tool for health service re-design
Demir, E., Chahed, S., Chaussalet, T.J., Toffa, S.E. and Fouladinajed, F. 2012. A decision support tool for health service re-design. Journal of Medical Systems. 36 (2), pp. 621-630. https://doi.org/10.1007/s10916-010-9526-8

How to predict high dependency cot demand in upcoming days
Dalton, S., Chahed, S. and Chaussalet, T.J. 2012. How to predict high dependency cot demand in upcoming days. ORAHS 2012 Conference: High Tech Human Touch. University of Twente Enschede, The Netherlands 15-20 July 2012

Mobile augmented reality for cultural heritage
Angelopoulou, A., Economou, D., Bouki, V., Psarrou, A., Jin, L., Pritchard, C. and Kolyda, F. 2012. Mobile augmented reality for cultural heritage. in: Mobile wireless middleware, operating systems and applications: 4th international ICST conference, Mobilware 2011. London, UK, June 2011. Revised selected papers. Springer.

Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation
García-Rodríguez, J., Angelopoulou, A., García-Chamizo, J.M., Psarrou, A., Orts Escolano, S. and Morell Giménez, V. 2012. Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation. Neural Networks. 32, pp. 196-208. https://doi.org/10.1016/j.neunet.2012.02.032

Capturing the readmission process: focus on time window
Demir, E. and Chaussalet, T.J. 2011. Capturing the readmission process: focus on time window. Journal of Applied Statistics. 38 (5), pp. 951-960. https://doi.org/10.1080/02664761003692415

An overflow loss network model for capacity planning of a perinatal network
Asaduzzaman, M. and Chaussalet, T.J. 2011. An overflow loss network model for capacity planning of a perinatal network. Journal of the Royal Statistical Society: Series A. 174 (2), pp. 403-417. https://doi.org/10.1111/j.1467-985X.2010.00669.x

An unsupervised method for active region extraction in sports videos
Mentzelopoulos, M., Psarrou, A. and Angelopoulou, A. 2011. An unsupervised method for active region extraction in sports videos. in: Cabestany J., Rojas I. and Joya G. (ed.) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692 Springer. pp. 42-49

Video and image processing with self-organizing neural networks
García-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M. 2011. Video and image processing with self-organizing neural networks. Springer.

Towards an optimal purchasing policy for nursing home placements in long-term care
Worrall, P. and Chaussalet, T.J. 2011. Towards an optimal purchasing policy for nursing home placements in long-term care. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning
Worrall, P. and Chaussalet, T.J. 2011. Development of a web-based system using the model view controller paradigm to facilitate regional long-term care planning. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

A case study using simplified discrete-event simulation models as a tool to reconfigure health care services
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. A case study using simplified discrete-event simulation models as a tool to reconfigure health care services. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Using simplified discrete-event simulation models for real world health care applications
Virtue, A., Chaussalet, T.J. and Kelly, J. 2011. Using simplified discrete-event simulation models for real world health care applications. in: Jain, S., Creasey, R.R., Himmelspach, J., White, K.P. and Fu, M. (ed.) Proceedings of the 2011 Winter Simulation Conference WSC.

Towards a full implementation of collaborative care plan. OR Informing National Health Policy
Tadjer, M., Chaussalet, T.J., Fouladinejad, F., Chahed, S., Saiyed, S., Redzanovic, S. and Fouladinajed, F. 2011. Towards a full implementation of collaborative care plan. OR Informing National Health Policy. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University.

Data warehousing based architecture for the reporting of the NHS primary care prescribing
Redzanovic, S., Chountas, P., Chaussalet, T.J., Fouladinejad, F., Tadjer, M. and Fouladinajed, F. 2011. Data warehousing based architecture for the reporting of the NHS primary care prescribing. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Fast image representation with GPU-based growing neural gas
Garcia-Rodriguez, J., Angelopoulou, A., Morell, V., Orts Escolano, S., Psarrou, A. and Garcia-Chamizo, J.M. 2011. Fast image representation with GPU-based growing neural gas. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.

Exploring the effect of temperature variations on unplanned asthma admissions
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N. and Demir, E. 2011. Exploring the effect of temperature variations on unplanned asthma admissions. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference School of Mathematics, Cardiff University. pp. 74-88

The impact of temperature disparity on emergency readmissions and patient flows
Islam, M.S., Chaussalet, T.J., Balta-Ozkan, N., Chahed, S., Demir, E. and Sarran, C. 2011. The impact of temperature disparity on emergency readmissions and patient flows. in: Olive, M. and Solomonides, T. (ed.) Proceedings of CMBS: the 24th International Symposium on Computer-Based Medical Systems, June 27th – 30th, 2011, Bristol, United Kingdom IEEE .

Fast Autonomous Growing Neural Gas
Garcia-Rodriguez, J., Angelopoulou, A., Orts Escolano, S., García-Chamizo, J.M., Psarrou, A. and Garcia Rodriguez, J. 2011. Fast Autonomous Growing Neural Gas. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, California July 31 - August 5, 2011 https://doi.org/10.1109/ijcnn.2011.6033293

Modelling high dependency care in the local neonatal unit
Dalton, S. and Chaussalet, T.J. 2011. Modelling high dependency care in the local neonatal unit. in: Operational Research Information National Health Policy: proceedings of the 37th ORAHS conference Cardiff School of Mathematics, Cardiff University.

"Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle"
Bouki, V., Economou, D. and Angelopoulou, A. 2011. "Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle". in: SIGDOC'11: proceedings of the 29th ACM international conference on design of communication, October 3 - 5, 2011, Pisa, Italy ACM. pp. 271-278

A growing neural gas algorithm with applications in hand modelling and tracking
Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. A growing neural gas algorithm with applications in hand modelling and tracking. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.

Object representation with self-organising networks
Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. Object representation with self-organising networks. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in computational intelligence: 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Malaga, Spain, June 8-10, 2011 Springer. pp. 244-251

Nonproportional random effects modelling of a neonatal unit operational patient pathways
Adeyemi, S., Chaussalet, T.J. and Demir, E. 2011. Nonproportional random effects modelling of a neonatal unit operational patient pathways. Statistical Methods and Applications. 20 (4), pp. 507-518. https://doi.org/10.1007/s10260-011-0174-z

Measuring and modelling occupancy time in NHS continuing healthcare
Chahed, S., Demir, E., Chaussalet, T.J., Millard, P.H. and Toffa, S.E. 2011. Measuring and modelling occupancy time in NHS continuing healthcare. BMC Health Services Research. 11 (155), p. 1. https://doi.org/10.1186/1472-6963-11-155

Editorial: IMA Health 2010
Vasilakis, C., Chaussalet, T.J. and Baker, R.D. 2011. Editorial: IMA Health 2010. Health Care Management Science. 14 (3), pp. 213-214. https://doi.org/10.1007/s10729-011-9174-7

A loss network model with overflow for capacity planning of a neonatal unit
Asaduzzaman, M., Chaussalet, T.J. and Robertson, N.J. 2010. A loss network model with overflow for capacity planning of a neonatal unit. Annals of Operations Research. 178 (1), pp. 67-76. https://doi.org/10.1007/s10479-009-0548-x

Random effects models for operational patient pathways
Adeyemi, S., Chaussalet, T.J., Xie, H. and Assaduzzman, M. 2010. Random effects models for operational patient pathways. Journal of Applied Statistics. 37 (4), pp. 691-701. https://doi.org/10.1080/02664760902873951

Hand gesture modelling and tracking using a self-organising network
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A. and Gupta, G. 2010. Hand gesture modelling and tracking using a self-organising network. The 2010 International Joint Conference on Neural Networks (IJCNN) . Barcelona 18 Jul 2010 IEEE . https://doi.org/10.1109/IJCNN.2010.5596288

GNG based surveillance system
Garcia Rodriguez, J., Angelopoulou, A., García-Chamizo, J.M. and Psarrou, A. 2010. GNG based surveillance system. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-8

Tracking gestures using a probabilistic self-organising network
Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2010. Tracking gestures using a probabilistic self-organising network. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-7

Analysis of variability in neonatal care units: a retrospective analysis
Adeyemi, S., Demir, E., Chahed, S. and Chaussalet, T.J. 2010. Analysis of variability in neonatal care units: a retrospective analysis. in: IEEE Workshop on Health Care Management (WHCM), Venice, 18-20 February 2010 IEEE . pp. 1-6

Towards effective capacity planning in a perinatal network centre
Asaduzzaman, M., Chaussalet, T.J., Adeyemi, S., Chahed, S., Hawdon, J., Wood, D. and Robertson, N.J. 2010. Towards effective capacity planning in a perinatal network centre. Archives of Disease in Childhood. Fetal and Neonatal Edition. 95 (4), pp. F283-F287. https://doi.org/10.1136/adc.2009.161661

Generic colour image segmentation via multi-stage region merging
Gupta, G., Psarrou, A. and Angelopoulou, A. 2009. Generic colour image segmentation via multi-stage region merging. in: Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '09) IEEE . pp. 185-188

A Grid implementation for profiling hospitals based on patient readmissions
Demir, E., Chaussalet, T.J., Weingarten, N. and Kiss, T. 2009. A Grid implementation for profiling hospitals based on patient readmissions. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

A systematic approach in defining readmission
Demir, E. and Chaussalet, T.J. 2009. A systematic approach in defining readmission. in: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009) IEEE . pp. 1-7

The analyses of individual patient pathways: investigating regional variation in COPD readmissions
Adeyemi, S., Chaussalet, T.J., Xie, H. and Asaduzzaman, M. 2009. The analyses of individual patient pathways: investigating regional variation in COPD readmissions. in: Sakalauskas, L., Skiadas, C. and Zavadskas, E.K. (ed.) Proceedings of the 13th International Conference "Applied Stochastic Models and Data Analysis", ASMDA 2009, 30 June – 3 July 2009, Vilnius, Lithuania ASMDA. pp. 316-319

Models for extracting information on patient pathways
Adeyemi, S. and Chaussalet, T.J. 2009. Models for extracting information on patient pathways. in: McClean, S.I., Millard, P.H., El-Darzi, E. and Nugent, C. (ed.) Intelligent patient management Springer.

Editorial: Applying mathematics to problems in health care: a call to pencils
Utley, M., Chaussalet, T.J. and Baker, R.D. 2009. Editorial: Applying mathematics to problems in health care: a call to pencils. IMA Journal of Management Mathematics. 20 (4), pp. 323-323. https://doi.org/10.1093/imaman/dpn036

Modelling risk of readmission with phase-type distribution and transition models
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2009. Modelling risk of readmission with phase-type distribution and transition models. IMA Journal of Management Mathematics. 20 (4), pp. 357-367. https://doi.org/10.1093/imaman/dpn032

Emergency readmission criterion: a technique for determining emergency readmission time window
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2008. Emergency readmission criterion: a technique for determining emergency readmission time window. IEEE Transactions on Information Technology in Biomedicine. 12 (5), pp. 644-649. https://doi.org/10.1109/TITB.2007.911311

Modelling and performance measure of a perinatal network centre in the United Kingdom
Asaduzzaman, M. and Chaussalet, T.J. 2008. Modelling and performance measure of a perinatal network centre in the United Kingdom. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 506-511

Active-GNG: model acquisition and tracking in cluttered backgrounds
Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2008. Active-GNG: model acquisition and tracking in cluttered backgrounds. in: VNBA '08: Proceeding of the 1st ACM workshop on vision networks for behavior analysis ACM. pp. 17-22

A random effects sensitivity analysis for patient pathways model
Adeyemi, S. and Chaussalet, T.J. 2008. A random effects sensitivity analysis for patient pathways model. in: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems, IEEE CBMS 2008, Jyväskylä, 17-19 June 2008 Los Alamitos, USA IEEE . pp. 536-538

Balancing the NHS balanced scorecard!
Patel, B., Chaussalet, T.J. and Millard, P.H. 2008. Balancing the NHS balanced scorecard! European Journal of Operational Research. 185 (3), pp. 905-914. https://doi.org/10.1016/j.ejor.2006.02.056

Editorial: IMA Health 2007
Baker, R.D., Chaussalet, T.J. and Utley, M. 2008. Editorial: IMA Health 2007. Health Care Management Science. 11 (2), pp. 87-88. https://doi.org/10.1007/s10729-008-9065-8

An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods.
Nguyen, J.M., Six, P., Chaussalet, T.J., Antonioli, D., Lombrail, P. and Le Beux, P. 2007. An objective method for bed capacity planning in a hospital department - a comparison with target ratio methods. Methods of Information in Medicine. 46 (4), pp. 399-405. https://doi.org/10.1160/me0385

A semi-open queueing network approach to the analysis of patient flow in healthcare systems
Xie, H., Chaussalet, T.J. and Rees, M. 2007. A semi-open queueing network approach to the analysis of patient flow in healthcare systems. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 719-724

Determining readmission time window using mixture of generalised Erlang distribution
Demir, E., Chaussalet, T.J. and Xie, H. 2007. Determining readmission time window using mixture of generalised Erlang distribution. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 21-26

Developing an application of an accident and emergency patient simulation modelling using an interactive framework
Codrington-Virtue, A., Chaussalet, T.J., Whittlestone, P. and Kelly, J. 2007. Developing an application of an accident and emergency patient simulation modelling using an interactive framework. in: Brailsford, S. and Harper, P.R. (ed.) Operational research for health policy: making better decisions: proceedings of the 31st Annual Conference of the European Working Group on Operational Research Applied to Health Services Oxford ; New York Peter Lang. pp. 61-76

Robust modelling and tracking of NonRigid objects using Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Robust modelling and tracking of NonRigid objects using Active-GNG. in: IEEE Workshop on Non-rigid Registration and Tracking through Learning, NRTL 2007, in conjunction with ICCV 2007, 14-21 October 2007, Rio de Janeiro Los Alamitos, USA IEEE . pp. 1-7

Nonparametric modelling and tracking with Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Nonparametric modelling and tracking with Active-GNG. in: Lew, M., Sebe, N., Huang, T.S. and Bakker, E.M. (ed.) Human-Computer Interaction: IEEE international workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007; proceedings Berlin Springer.

Patients flow: a mixed-effects modelling approach to predicting discharge probabilities
Adeyemi, S., Chaussalet, T.J., Xie, H. and Millard, P.H. 2007. Patients flow: a mixed-effects modelling approach to predicting discharge probabilities. in: Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems. IEEE CBMS 2007, Maribor, Slovenia, 20-22 June 2007 Los Alamitos, USA IEEE . pp. 725-730

A simple graphical decision aid for the placement of elderly people in long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2007. A simple graphical decision aid for the placement of elderly people in long-term care. Journal of the Operational Research Society. 58 (4), pp. 446-453. https://doi.org/10.1057/palgrave.jors.2602179

The ICMCC second conference on "Medical and Care Compunetics"
Chaussalet, T.J. and Bos, L. 2006. The ICMCC second conference on "Medical and Care Compunetics". International Journal of Medical Informatics. 75 (9), pp. vii-viii. https://doi.org/10.1016/S1386-5056(06)00188-2

A model-based approach to the analysis of patterns of length of stay in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2006. A model-based approach to the analysis of patterns of length of stay in institutional long-term care. IEEE Transactions on Information Technology in Biomedicine. 10 (3), pp. 512-518. https://doi.org/10.1109/TITB.2005.863820

Automatically building 2D statistical shapes using the topology preservation model GNG
Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG. in: Narayanan, P.J., Nayar, S.K. and Shum, H.Y. (ed.) Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I Springer.

A method for determining an emergency readmission time window for better patient management
Demir, E., Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A method for determining an emergency readmission time window for better patient management. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 789-793

A system for patient management based discrete-event simulation and hierarchical clustering
Codrington-Virtue, A., Chaussalet, T.J., Millard, P.H., Whittlestone, P. and Kelly, J. 2006. A system for patient management based discrete-event simulation and hierarchical clustering. in: Lee, D.J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. (ed.) Nineteenth IEEE International Symposium on Computer-Based Medical Systems: 22-23 June 2006, Salt Lake City, Utah. Proceedings Las Alamitos, USA IEEE . pp. 800-804

A closed queueing network approach to the analysis of patient flow in health care systems
Chaussalet, T.J., Xie, H. and Millard, P.H. 2006. A closed queueing network approach to the analysis of patient flow in health care systems. Methods of Information in Medicine. 45 (5), pp. 492-497.

Learning 2D hand shapes using the topology preservation model GNG
Angelopoulou, A., Rodríguez, J.G. and Psarrou, A. 2006. Learning 2D hand shapes using the topology preservation model GNG. in: Leonardis, A., Bischof, H. and Pinz, A. (ed.) Proceedings of the 9th IEEE European Conference on Computer Vision, ECCV 2006 Hamburg, Germany Springer. pp. 313-324

Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling
García Rodríguez, J., Angelopoulou, A. and Psarrou, A. 2006. Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling. IEICE Transactions on Information and Systems. E89-D (7), pp. 2124-2131. https://doi.org/10.1093/ietisy/e89-d.7.2124

A software tool to aid long-term care budget planning at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2006. A software tool to aid long-term care budget planning at local authority level. International Journal of Medical Informatics. 75 (9), pp. 664-670. https://doi.org/10.1016/j.ijmedinf.2006.04.009

Six methodological steps to build medical data warehouses for research
Szirbik, N., Pelletier, C. and Chaussalet, T.J. 2006. Six methodological steps to build medical data warehouses for research. International Journal of Medical Informatics. 75 (9), pp. 683-691. https://doi.org/10.1016/j.ijmedinf.2006.04.003

On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. On the use of multi-state multi-census techniques for modelling the survival of elderly people in institutional long-term care. IMA Journal of Management Mathematics. 16 (3), pp. 255-264. https://doi.org/10.1093/imaman/dpi021

A software tool to aid budget planning for long-term care at local authority level
Xie, H., Chaussalet, T.J., Toffa, S.E. and Crowther, P. 2005. A software tool to aid budget planning for long-term care at local authority level. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A tool for studying the effects of residents' attributes on patterns of length of stay in long-term care. in: Tsymbal, A. and Cunningham, P. (ed.) Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems: 23-25 June 2005, Dublin, Ireland USA IEEE . pp. 473-478

Probablistic image-based characterisation of manuscript inks
Psarrou, A. and Angelopoulou, A. 2005. Probablistic image-based characterisation of manuscript inks. SPIE International Symposium on Optical Metrology. Munich, Germany 13-17 Jun 2005

Crossing heterogeneous information sources for better analysis in long term care for elderly people
Pelletier, C., Szirbik, N. and Chaussalet, T.J. 2005. Crossing heterogeneous information sources for better analysis in long term care for elderly people. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

An interactive framework for developing simulation models of hospital accident and emergency services
Codrington-Virtue, A., Whittlestone, P., Kelly, J. and Chaussalet, T.J. 2005. An interactive framework for developing simulation models of hospital accident and emergency services. in: Bos, L., Laxminarayan, S. and Marsh, A.J. (ed.) Medical and care compunetics 2 Oxford, UK IOS Press.

Automatic landmarking of 2D medical shapes using the growing neural gas network
Angelopoulou, A., Psarrou, A., Rodríguez, J.G. and Revett, K. 2005. Automatic landmarking of 2D medical shapes using the growing neural gas network. in: Liu, Y., Jiang, T. and Zhang, C. (ed.) Computer Vision for Biomedical Image Applications: First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings Berlin, Germany Springer.

Automatic landmark extraction from a class of hands using growing neural gas
Angelopoulou, A., Garcia Rodriguez, J. and Psarrou, A. 2005. Automatic landmark extraction from a class of hands using growing neural gas. in: Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 Tokyo, Japan IAPR MVA Conference Committee. pp. 168-171

A continuous time Markov model for the length of stay of elderly people in institutional long-term care
Xie, H., Chaussalet, T.J. and Millard, P.H. 2005. A continuous time Markov model for the length of stay of elderly people in institutional long-term care. Journal of the Royal Statistical Society: Series A. 168 (1), pp. 51-61. https://doi.org/10.1111/j.1467-985X.2004.00335.x

A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level
Pelletier, C., Chaussalet, T.J. and Xie, H. 2005. A framework for predicting gross institutional long-term care cost arising from known commitments at local authority level. Journal of the Operational Research Society. 56 (2), pp. 144-152. https://doi.org/10.1057/palgrave.jors.2601892

Integrating data on the long-term care for elderly people from heterogeneous sources in support of research
Chaussalet, T.J. and Thompson, W.A. 2004. Integrating data on the long-term care for elderly people from heterogeneous sources in support of research. in: Proceedings of the 10th Mediterranean Conference of the International Federation for Medical and Biological Engineering (MEDICON 2004), Ischia, Italy, 31 Jul - 5 Aug 2004 Ghedimedia.

Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface
Angelopoulou, A., Thomas, S., Konstantinou, V. and Psarrou, A. 2004. Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface. 21st ICDE Conference on Open Learning and Distance Education. Hong Kong 18-21 Feb 2004

Evaluating statistical shape models for automatic landmark generation on a class of human hands
Angelopoulou, A. and Psarrou, A. 2004. Evaluating statistical shape models for automatic landmark generation on a class of human hands. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 34 (XXX).

diARTgnosis: study of European religious painting
Angelopoulou, A., Mantratzis, C., Psarrou, A. and Konstantinou, V. 2004. diARTgnosis: study of European religious painting. 2nd International Conference of Museology. Mytilene, Greece 28 Jun - 02 Jul 2004

Time for a new approach for reporting herbal medicine adverse events?
Peters, D., Donaldson, J., Chaussalet, T.J., Toffa, S.E., Whitehouse, J., Carroll, D. and Barry, P. 2003. Time for a new approach for reporting herbal medicine adverse events? Journal of Alternative & Complementary Medicine. 9 (5), pp. 607-609.

Modelling survival in long term care of older people
Pelletier, C., Chaussalet, T.J. and Millard, P.H. 2003. Modelling survival in long term care of older people. 1st MEDINF International Conference on Medical Informatics and Engineering (MEDINF 2003). Craiova, Romania 06-09 Oct 2003

A dynamic model for delivering distance learning material via interactive television
Angelopoulou, A., Thomas, S., Gallahan, P. and Psarrou, A. 2003. A dynamic model for delivering distance learning material via interactive television. Second International Conference on Multimedia and ICTs in Education. Badajoz, Spain 03-06 Dec 2003

Modelling decisions of a multidisciplinary panel for admission to long-term care
Xie, H., Chaussalet, T.J., Thompson, W.A. and Millard, P.H. 2002. Modelling decisions of a multidisciplinary panel for admission to long-term care. Health Care Management Science. 5 (4), pp. 291-295. https://doi.org/10.1023/A:1020338308191

Data requirements in a model of the natural history of Alzheimer's disease
Chaussalet, T.J. and Thompson, W.A. 2001. Data requirements in a model of the natural history of Alzheimer's disease. Health Care Management Science. 4 (1), pp. 13-19. https://doi.org/10.1023/A:1009689329661

Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease
Thompson, W.A. and Chaussalet, T.J. 2001. Subgroup analyses of cost of care in a Markov model of the natural history of Alzheimer's disease. in: Simulation in the Health and Medical Sciences 2001: Proceedings of the 2001 Western Multiconference, January 7-11 2001, Phoenix, Arizona California, USA Society for Computer Simulation. pp. 41-44

An extensible movie system interface for information-rich television
Angelopoulou, A., Psarrou, A. and Parapadakis, D. 2001. An extensible movie system interface for information-rich television. in: Graham, P., Maheswaran, M. and Eskicioglu, M.R. (ed.) Proceedings of the International Conference on Internet Computing, IC'2001, Las Vegas, Nevada, USA, June 25-28, 2001 USA CSREA Press.

Editorial: Modelling the process of care
Chaussalet, T.J. and El-Darzi, E. 2001. Editorial: Modelling the process of care. Health Care Management Science. 4 (1), p. 5. https://doi.org/10.1023/A:1009659711914