Enhanced CATBraTS for Brain Tumour Semantic Segmentation

PainFusion: Multimodal Pain Assessment from RGB and Sensor Data
Benavent-Lledo,M., Lopez-Valle, M., Ortiz-Perez, D., Mulero-Perez, D., Garcia-Rodriguez, J. and Psarrou, A. 2024. PainFusion: Multimodal Pain Assessment from RGB and Sensor Data. Quintian, H., Corchado, E., Troncoso Lora, A., Perez-Garcia, H., Jove, E,, Calvo Role, J., Martinez de Pison, F., Garcia Bringas, P., Martinez Alvarez, F., Herrero, A. and Fosci, P. (ed.) 19th International Conference on Soft Computing Models in Industrial and Environmental Applications. Salamanca, Spain 09 - 11 Oct 2024 Springer Nature.

Active learning using adaptable task-based prioritisation
Shaheer U. Saeed, João Ramalhinho, Mark Pinnock, Ziyi Shen, Yunguan Fu, Nina Montaña-Brown, Ester Bonmati, Dean C. Barratt, Stephen P. Pereira, Brian Davidson, Matthew J. Clarkson and Yipeng Hu 2024. Active learning using adaptable task-based prioritisation. Medical Image Analysis. 95 103181. https://doi.org/10.1016/j.media.2024.103181

A Comprehensive Study on Pain Assessment from Multimodal Sensor Data
Benavent-Lledo, M., Mulero-Pérez, David, Ortiz-Perez, David, Rodriguez-Juan, J., Berenguer-Agullo, Adrian, Psarrou, Alexandra and Garcia-Rodriguez, J. 2023. A Comprehensive Study on Pain Assessment from Multimodal Sensor Data. Sensors. 23 (24) 9675. https://doi.org/10.3390/s23249675

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
Psarrou, A. and Gorritz, J.M 2023. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends. Information Fusion. 100 101945. https://doi.org/10.1016/j.inffus.2023.101945

A framework for the metrification of input image quality in deep networks
Psarrou, A., Triantaphillidou, S., Feisal, I. and Van Zwanenberg, O. 2023. A framework for the metrification of input image quality in deep networks. Electronic Imaging. 35, pp. 307-1 - 307-7 IQSP-307. https://doi.org/10.2352/EI.2023.35.8.IQSP-307

Evaluation of Environmental Conditions on Object Detection Using Oriented Bounding Boxes for AR Applications
Li, Vladislav, Villarini, Barbara, Nebel, Jean–Christophe, Lagkas, Thomas, Sarigiannidis, Panagiotis and Argyriou, Vasileios 2023. Evaluation of Environmental Conditions on Object Detection Using Oriented Bounding Boxes for AR Applications. 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). Pafos, Cyprus 19 - 21 Jun 2023 IEEE . https://doi.org/10.1109/dcoss-iot58021.2023.00058

A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications
Li, V., Villarini, B., Nebel, JC. and Argyriou, V. 2023. A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications. The IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology. Bali, Indonesia 13 - 15 Jul 2023 IEEE . https://doi.org/10.1109/IAICT59002.2023.10205667

Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles
Villarini, B., Radoglou-Grammatikis, P., Lagkas, T., Sarigiannidis, P. and Argyriou, V. 2023. Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles. 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT). Bali, Indonesia 13 - 15 May 2023 IEEE . https://doi.org/10.1109/IAICT59002.2023.10205591

An AI-Assisted Skincare Routine Recommendation System in XR
Rajegowda, M.g., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. An AI-Assisted Skincare Routine Recommendation System in XR. 2023 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR2023). Kumamoto, Japan 23 May - 21 Jun 2023 Springer.

3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation
El Badaoui, R., Bonmati Coll, E., Psarrou, A. and Villarini, B. 2023. 3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation. 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023). L'Aquila, Italy 24 May - 22 Jun 2023 IEEE . https://doi.org/10.1109/cbms58004.2023.00267

Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes
João Ramalhinho, Thomas Dowrick, Bonmati Coll, E. and Matthew J. Clarkson 2023. Fan-Slicer: A Pycuda Package for Fast Reslicing of Ultrasound Shaped Planes. Journal of Open Research Software. 11 (1), p. 3. https://doi.org/10.5334/jors.422

Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma
Bandy, A.D., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma. Sensors. 23 (2), p. 926. https://doi.org/10.3390/s23020926

Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling
Asaturyan, A.H., Basty, N., Thanaj, M., Whitcher, B., Thomas, E.L. and Bell, J.D. 2022. Improving the accuracy of fatty liver index to reflect liver fat content with predictive regression modelling. PLoS ONE. 17 (9) e0273171. https://doi.org/10.1371/journal.pone.0273171

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks
Bonmati Coll, E., Hu, Y., Grimwood, A., Johnson, G.J., Goodchild, G., Keane, M.G., Gurusamy, K., Davidson, B., Clarkson, M.J., Pereira, S.P. and Barratt, D.C. 2022. Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Transactions on Medical Imaging. 41 (6), pp. 1311-1319. https://doi.org/10.1109/tmi.2021.3139023

AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images
Villarini, B. and Asaturyan, H. 2022. AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. International Conference on Distributed Computing in Sensor Systems (DCOSS). Los Angeles, California 30 May - 01 Jul 2022 IEEE . https://doi.org/10.1109/DCOSS54816.2022.00045

Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.
Asaturyan, H., Villarini, Barbara, Sarao, Karen, Chow, Jeanne S, Afacan, Onur and Kurugol, Sila 2021. Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors. 21 (23) 7942. https://doi.org/10.3390/s21237942

Analysis of Natural Scene Derived Spatial Frequency Responses for Estimating Camera ISO12233 Slanted-edge Performance
van Zwanenberg, Oliver, Triantaphillidou, Sophie, Psarrou, Alexandra and Jenkin, Robin B. 2021. Analysis of Natural Scene Derived Spatial Frequency Responses for Estimating Camera ISO12233 Slanted-edge Performance. Journal of Imaging Science and Technology. https://doi.org/10.2352/j.imagingsci.technol.2021.65.6.060405

Estimation of ISO12233 Edge Spatial Frequency Response from Natural Scene Derived Step-Edge Data
van Zwanenberg, Oliver, Triantaphillidou, Sophie, Jenkin, Robin B. and Psarrou, Alexandra 2021. Estimation of ISO12233 Edge Spatial Frequency Response from Natural Scene Derived Step-Edge Data. Journal of Imaging Science and Technology. 65 (6), pp. 60402-1-60402-16. https://doi.org/10.2352/j.imagingsci.technol.2021.65.6.060402

Natural Scene Derived Camera Edge Spatial Frequency Response for Autonomous Vision Systems
Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. 2021. Natural Scene Derived Camera Edge Spatial Frequency Response for Autonomous Vision Systems. IS&T/IoP London Imaging Meeting 2021. London 20 - 22 Sep 2021 The Society of Imaging Science and Technology. https://doi.org/10.2352/issn.2694-118X.2021.LIM-88

3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities
Villarini, B., Asaturyan, H., Kurugol, S., Afacan, O., Bell, J.D. and Thomas, E.L. 2021. 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. O'Conner, L. (ed.) 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. Online Event 07 - 09 Jun 2021 IEEE . https://doi.org/10.1109/CBMS52027.2021.00066

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification
Grimwood, A., McNair, H., Hu, Y., Bonmati Coll, E., Barratt, D. and Harris, E.J. 2020. Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference. Lima, Peru 04 - 08 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-59716-0_52

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

Camera System Performance Derived from Natural Scenes
Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. 2020. Camera System Performance Derived from Natural Scenes. Bonnier, Nicolas and Farias, Mylène (ed.) IS&T Electronic Imaging: Image Quality and System Performance XVII. Burlingame, California, USA 26 - 30 Jan 2020 The Society of Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2020.9.IQSP-241

A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes
Asaturyan, H., Thomas, E.L., Bell, J.D. and Villarini, B. 2019. A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes. Journal of Medical Systems. 43 334. https://doi.org/10.1007/s10916-019-1474-3

Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Hausdorff-Sine Loss Function
Asaturyan, H., Thomas, E.L., Fitzpatrick, J., Bell, J.D. and Villarini, B. 2019. Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Hausdorff-Sine Loss Function. 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI 2019. Shenzen, China 13 Oct 2019 Springer. https://doi.org/10.1007/978-3-030-32692-0_4

Edge Detection Techniques for Quantifying Spatial Imaging System Performance and Image Quality
Van Zwanenberg, O., Triantaphillidou, S., Jenkin, R. and Psarrou, A. 2019. Edge Detection Techniques for Quantifying Spatial Imaging System Performance and Image Quality. The Conference on Computer Vision and Pattern Recognition (CVPR 2019). Long Beach California 15 - 21 Jun 2019 ACM/IEEE. https://doi.org/10.1109/CVPRW.2019.00238

Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation
Asaturyan, H., Gligorievski, A. and Villarini, B. 2019. Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. Computerized Medical Imaging and Graphics. 75, pp. 1-13. https://doi.org/10.1016/j.compmedimag.2019.04.004

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

Contrast sensitivity in images of natural scenes
Triantaphillidou, S., Jarvis, J., Psarrou, A. and Gupta, G. 2019. Contrast sensitivity in images of natural scenes. Signal Processing: Image Communication . 75, pp. 64-75. https://doi.org/10.1016/j.image.2019.03.002

The SmartTarget BIOPSY trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and MRI/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification
Hamid, S., Donaldson, I.A., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Tranter, P., Punwani, S., Side, H.S., Willis, S., van der Meulen, J., Hawkes, D., Mccarran, N., Potyka, I., Williams, N.W., Brew-Graves, C., Freeman, A., Moore, C.M., Barratt, D., Emberton, M. and Ahmed, H.U. 2019. The SmartTarget BIOPSY trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and MRI/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. European Urology. 75 (5), p. 733–740. https://doi.org/10.1016/j.eururo.2018.08.007

Expert systems: Special issue on “Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)”
García-Rodríguez, J., Escalera, S., Psarrou, A., Guyon, I., Lewis, A. and Leitner, J. 2018. Expert systems: Special issue on “Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)”. Expert Systems. 35 (2) e12258. https://doi.org/10.1111/exsy.12258

Novel Brain Complexity Measures Based on Information Theory
Bonmati Coll, E., Bardera, A., Feixas, M. and Boada, I. 2018. Novel Brain Complexity Measures Based on Information Theory. Entropy. 20 (7) 491. https://doi.org/10.3390/e20070491

Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures
Bonmati Coll, E., Hu, Y., Gibson, E., Uribarri, L., Keane, G., Gurusami, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2018. Determination of optimal ultrasound planes for the initialisation of image registration during endoscopic ultrasound-guided procedures. International Journal of Computer Assisted Radiology and Surgery. 13, pp. 875-883. https://doi.org/10.1007/s11548-018-1762-2

Automatic Multi-Organ Segmentation on Abdominal CT with Dense V-Networks
Gibson, E., Giganti, F., Hu, Y., Bonmati Coll, E., Bandula, S., Gurusamy, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2018. Automatic Multi-Organ Segmentation on Abdominal CT with Dense V-Networks. IEEE Transactions on Medical Imaging. 37 (8), pp. 1822-1834. https://doi.org/10.1109/tmi.2018.2806309

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network
Bonmati Coll, E., Hu, Y., Sindhwani, N., Dietz, H.P., D'hooge, J., Barratt, D., Deprest, J. and Vercauteren, T. 2018. Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network. Journal of Medical Imaging. 5 (2) 021206. https://doi.org/10.1117/1.jmi.5.2.021206

Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-flow and Min-Cuts Approach
Asaturyan, H. and Villarini, B. 2018. Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-flow and Min-Cuts Approach. ICIAR 2018 International Conference Image Analysis and Recognition. Póvoa de Varzim, Portugal 27 - 29 Jun 2018 Springer. https://doi.org/10.1007/978-3-319-93000-8_64

Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal MR/US-guided prostate interventions
Bonmati, E., Hu, Y., Villarini, B., Rodell, R., Martin, P., Han, L., Donaldson, I., Ahmed, H.U., Moore, C.M., Emberton, M. and Barratt, D.C. 2018. Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal MR/US-guided prostate interventions. Medical Physics. 45 (4), pp. 1408-1414. https://doi.org/10.1002/mp.12814

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

Brain parcellation based on information theory
Bonmati Coll, E., Bardera, A. and Boada, I. 2017. Brain parcellation based on information theory. Computer Methods and Programs in Biomedicine. 151, pp. 203-212. https://doi.org/10.1016/j.cmpb.2017.07.012

Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks
Gibson, E., Giganti, F., Hu, Y., Bonmati Coll, E., Bandula, S., Gurusamy, K., Davidson, B.R., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2017. Towards image-guided pancreas and biliary endoscopy: Automatic multi-organ segmentation on abdominal CT with dense dilated networks. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. Quebec City, QC, Canada 11 - 13 Sep 2017 Springer. https://doi.org/10.1007/978-3-319-66182-7_83

MP33-20 The SmartTarget Biopsy Trial: a Prospective Paired Blinded Trial with Randomisation to Compare Visual-Estimation and Image-Fusion Targeted Prostate Biopsies
Donaldson, I., Hamid, S., Barratt, D., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Martin, P., Hawkes, D., Mccarran, N., Potyka, I., Williams, N., Bre-Graves, C., Moore, C., Emberson, M. and Ahmed, H. 2017. MP33-20 The SmartTarget Biopsy Trial: a Prospective Paired Blinded Trial with Randomisation to Compare Visual-Estimation and Image-Fusion Targeted Prostate Biopsies. The Journal of Urology. 197 (4), p. e425. https://doi.org/10.1016/j.juro.2017.02.1016

A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities
Villarini, B., Asaturyan, H., Thomas, E.L., Mould, R. and Bell, J.D. 2017. A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities. Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS’17). Thessaloniki, Greece 22 - 24 Jun 2017 IEEE . https://doi.org/10.1109/CBMS.2017.49

Editorial: special issue on computational intelligence for vision and robotics
Garcia-Rodriguez, J., Guyon, I., Escalera, S., Psarrou, A., Lewis, A. and Cazorla, M. 2016. Editorial: special issue on computational intelligence for vision and robotics. Neural Computing and Applications. 28, pp. 853-854. https://doi.org/10.1007/s00521-016-2330-8

2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions
Hu, Y., Bonmati Coll, E., Gibson, E., Hipwell, J.H., Hawkes, D.J., Bandula, S., Pereira, S.P. and Barratt, D.C. 2016. 2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. MICCAI 2016. Athens, Greece 17 - 21 Oct 2016 Springer. https://doi.org/10.1007/978-3-319-46720-7_60

Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound
Bonmati Coll, E., Hu, Y., Gurusamy, K., Davidson, B., Pereira, S.P., Clarkson, M.J. and Barratt, D.C. 2016. Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound. Computer-Assisted and Robotic Endoscopy. CARE 2016. Athens, Greece 17 Oct 2016 Springer. https://doi.org/10.1007/978-3-319-54057-3_4

Measuring Complex Brain Networks Structure
Bonmati Ester, Bardera Anton, Boada Imma and Bonmati Coll, E. 2016. Measuring Complex Brain Networks Structure. Frontiers in Neuroinformatics. Conference Abstract: Neuroinformatics 2016. https://doi.org/10.3389/conf.fninf.2016.20.00012

Cognitive behaviour analysis based on facial information using depth sensors
Montenegro, J.F., Villarini, B., Gkelias, A. and Argyriou, V. 2016. Cognitive behaviour analysis based on facial information using depth sensors. Wannous, H., Pala, P., Daoudi, M. and Flórez-Revuelta, F. (ed.) ICPR Workshop on Understanding Human Activities through 3D Sensors (UHA3DS 2016). Cancun, Mexico 04 - 08 Dec 2016 Springer. https://doi.org/10.1007/978-3-319-91863-1

Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models
Villarini, B., Gkelias, A. and Argyriou, V. 2016. Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models. ICPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Cancun, Mexico 04 Dec 2016 - 08 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59259-6_12

An Evaluation of the Efficacy of a Perceptually Controlled Immersive Environment for Learning Acupuncture
Ferguson, J., Mentzelopoulos, M. and Psarrou, A. 2016. An Evaluation of the Efficacy of a Perceptually Controlled Immersive Environment for Learning Acupuncture . IUCC 2016 - 15th International Conference on Ubiquitous Computing and Communications - Virtual Environments and Advanced Interfaces Workshop. Granada, Spain 14 - 16 Dec 2016 IEEE . https://doi.org/10.1109/IUCC-CSS.2016.29

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

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

Hierarchical clustering based on the information bottleneck method using a control process
Bonmati Coll, E., Bardera, A., Boada, I., Feixas, M. and Sbert, M. 2015. Hierarchical clustering based on the information bottleneck method using a control process. Pattern Analysis and Applications (PAA). 18, pp. 619-637. https://doi.org/10.1007/s10044-015-0467-1

Validation of the needle targeting accuracy of a MRI/TRUS- image-guided system for transperineal prostate cancer biopsy
Bonmati, E., Hu, Y., Rodell, R., Villarini, B., Martin, P., Han, L., Donaldson, I., Ahmed, H.U., Moore, C.M., Emberton, M. and Barratt, D.C. 2015. Validation of the needle targeting accuracy of a MRI/TRUS- image-guided system for transperineal prostate cancer biopsy. CARS-Computer Assisted Radiology and Surgery, 29th International Congress and Exhibition. Barcelona, Spain 24 Jun 2015 Springer. https://doi.org/10.1007/s11548-015-1213-2

Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics
Argyriou, V., Del Rincon, J.M., Villarini, B. and Roche, A. 2015. Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics. Oxford Wiley.

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

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

Comparative performance between human and automated face recognition systems, using CCTV imagery, different compression levels and scene parameters
Tsifouti, A., Triantaphillidou, S., Larabi M-C, Bilissi, E. and Psarrou, A. 2015. Comparative performance between human and automated face recognition systems, using CCTV imagery, different compression levels and scene parameters . SPIE Electronic Imaging: Image Quality and System Performance XII. San Fransisco, USA Jan 2015 SPIE. https://doi.org/10.1117/12.2083325

The effects of scene content parameters, compression, and frame rate on the performance of analytics systems
Tsifouti, A., Triantaphillidou, S., Larabi, M.C., Doré, G, Bilissi, E. and Psarrou, A. 2015. The effects of scene content parameters, compression, and frame rate on the performance of analytics systems. SPIE Elecgtronic Imaging: Image Quality and System Performance XII. San Fransisco, USA Jan 2015 SPIE. https://doi.org/10.1117/12.2083426

A case study in identifying acceptable bitrates for human face recognition tasks
Tsifouti, A., Triantaphillidou, S., Larabi, M.C., Bilissi, E. and Psarrou, A. 2015. A case study in identifying acceptable bitrates for human face recognition tasks. Signal Processing: Image Communication . 36, p. 14–28. https://doi.org/10.1016/j.image.2015.05.002

Adaptive-threshold region merging via path scanning
Gupta, G. and Psarrou, A. 2014. Adaptive-threshold region merging via path scanning. 22nd International Conference on Pattern Recognition. Stockholm, Sweden Aug 2014 IEEE . https://doi.org/10.1109/ICPR.2014.173

Computer vision applications of self-organizing neural networks
García-Rodríguez, J., García-Chamizo, J.M., Orts-Escolano, S., Morell-Gimenez, V., Serra-Pérez, J.A., Angelolopoulou, A., Psarrou, A., Cazorla, M. and Viejo, D. 2013. Computer vision applications of self-organizing neural networks. in: Robotic Vision: Technologies for Machine Learning and Vision Applications IGI Global.

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.

A sparse representation method for determining the optimal illumination directions in Photometric Stereo
Argyriou, V., Zafeiriou, S., Villarini, B. and Petrou, M. 2013. A sparse representation method for determining the optimal illumination directions in Photometric Stereo. Signal Processing. 93 (11), pp. 3027-3038. https://doi.org/10.1016/j.sigpro.2013.04.026

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

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

An optimal method for searching UEP profiles in wireless JPEG 2000 video transmission
Baruffa, G., Frescura, F., Micanti, P. and Villarini, B. 2012. An optimal method for searching UEP profiles in wireless JPEG 2000 video transmission. ICIP - International Conference on Image Processing. Orlando, FL 30 Sep 2012 IEEE . https://doi.org/10.1109/ICIP.2012.6467192

A reduced-reference perceptual image and video quality metric based on edge preservation
Martini, M.G., Villarini, B. and Fiorucci, F. 2012. A reduced-reference perceptual image and video quality metric based on edge preservation. EURASIP Journal on Advances in Signal Processing. 2012 (66) 66. https://doi.org/10.1186/1687-6180-2012-66

Image quality assessment based on edge preservation
Martini, M.G., Hewage, C. and Villarini, B. 2012. Image quality assessment based on edge preservation. Signal Processing: Image Communication. 27 (8), pp. 875-882. https://doi.org/10.1016/j.image.2012.01.012

Visual scene busyness measures through a region growing spatial segmentation
Gupta, G., Psarrou, A., Triantaphillidou, S. and Park, J.Y. 2012. Visual scene busyness measures through a region growing spatial segmentation. in: Lewis, C. and Burgess, D. (ed.) Optics and Photonics for Counterterrorism, Crime Fighting, and Defence VIII SPIE.

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

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.

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.

Reduced-Reference Image Quality Assessment Based on Edge Preservation
Martini, M.G., Villarini, B. and Fiorucci, F. 2011. Reduced-Reference Image Quality Assessment Based on Edge Preservation. 7th International ICST Mobile Multimedia Communications Conference. Cagliari, Italy 05 Sep 2011 Springer. https://doi.org/10.1007/978-3-642-30419-4_3

Near-infrared ink differentiation in medieval manuscripts
Psarrou, A., Licata, A., Kokla, V. and Tselikas, A. 2011. Near-infrared ink differentiation in medieval manuscripts. International Journal of Computer Vision. 94 (1), pp. 136-151. https://doi.org/10.1007/s11263-011-0419-1

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.

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

A reprogrammable computing platform for JPEG 2000 and H.264 SHD video coding
Baruffa, G., Fiorucci, F., Frescura, F., Micanti, P., Verducci, L. and Villarini, B. 2010. A reprogrammable computing platform for JPEG 2000 and H.264 SHD video coding. 8th IEEE Workshop on Embedded Systems for Real-Time Multimedia (ESTIMedia). Scottsdale, AZ 28 Oct 2010 IEEE . https://doi.org/10.1109/ESTMED.2010.5666990

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

Watercolour identification based on machine vision analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2010. Watercolour identification based on machine vision analysis. e-Preservation Science. 7, pp. 22-28.

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

Towards symbolic reasoning from subsymbolic sensory information
Bolotov, A., Gupta, G. and Psarrou, A. 2010. Towards symbolic reasoning from subsymbolic sensory information. in: Bolotov, A. (ed.) Proceedings of the automated reasoning workshop 2010: bridging the gap between theory and practice. ARW 2010 University of Westminster.

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

Unsupervised ink type recognition in ancient manuscripts
Psarrou, A., Licata, A. and Kokla, V. 2009. Unsupervised ink type recognition in ancient manuscripts. in: IEEE 12th International Conference on Computer Vision Workshop: on e-heritage and digital art preservation IEEE . pp. 955-961

An ink texture descriptor for NIR-imaged medieval documents
Licata, A., Psarrou, A. and Kokla, V. 2009. An ink texture descriptor for NIR-imaged medieval documents. in: Proceedings of the 16th IEEE International Conference on Image Processing: ICIP 2009, November 2009, Cairo IEEE . pp. 1997-2000

Revealing the visually unknown in ancient manuscripts with a similarity measure for IR-imaged inks
Licata, A., Psarrou, A. and Kokla, V. 2009. Revealing the visually unknown in ancient manuscripts with a similarity measure for IR-imaged inks. in: Proceedings of the 10th International Conference on Document Analysis and Recognition: ICDAR 2009. 26 - 29 July 2009, Barcelona, Catalonia, Spain IEEE . pp. 818-822

Watercolour identification based on machine vision analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2009. Watercolour identification based on machine vision analysis. in: Proceedings of New Media Art Conference 2008, 7-9 Nov. 2008, Shanghai, China Shanghai, P.R. China Tongji University Press. pp. 133-143

Trends on interactive platforms for social media through Web2.0
Jin, L., Psarrou, A., Cao, S. and Chen, Y. 2009. Trends on interactive platforms for social media through Web2.0. in: International Conference on Management and Service Science. MASS '09. 20-22 Sept. 2009 IEEE .

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

Unsupervised classification for ancient manuscript analysis
Lu, K., Psarrou, A., Licata, A., Konstantinou, V. and Kokla, V. 2008. Unsupervised classification for ancient manuscript analysis. in: Proceedings of the International MultiConference of Engineers and Computer Scientists (IMECS'08), 19-20th March 2008, Hong-Kong International Association of Engineers. pp. 348-353

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

Computational models for pigment analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2008. Computational models for pigment analysis. Applied Physics A: Materials Science & Processing. 90 (1), pp. 15-22. https://doi.org/10.1007/s00339-007-4236-x

Ink discrimination based on co-occurrence analysis of visible and infrared images
Kokla, V., Psarrou, A. and Konstantinou, V. 2007. Ink discrimination based on co-occurrence analysis of visible and infrared images. in: Proceedings of the Ninth International Conference on Document Analysis and Recognition, 23-26 Sept. 2007 (ICDAR 2007) Los Alamitos, USA IEEE .

A Bayesian decision model for watercolour analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2007. A Bayesian decision model for watercolour analysis. in: Fotakis, C., Pezzati, L. and Salimbeni, R. (ed.) O3A: optics for arts, architecture, and archaeology: 20-22 June 2007, Munich, Germany Bellingham, Wash. SPIE.

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.

The characterization if inks through image-based analysis
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. The characterization if inks through image-based analysis. in: The object in context: crossing conservation boundaries Munich, Germany International Institute for Conservation of Historic & Artistic Works. pp. 322

Probability analysis in art conservation
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. Probability analysis in art conservation. in: Ranchordas, A., Araujo, H. and Encarnacao, B. (ed.) VISAPP 2006: Proceedings of the First International Conference on Computer Vision Theory and Applications Portugal INSTICC Press. pp. 508-514

Ink recognition based on statistical classification methods
Kokla, V., Psarrou, A. and Konstantinou, V. 2006. Ink recognition based on statistical classification methods. in: Second International Conference on Document Image Analysis for Libraries, 2006. DIAL '06. USA IEEE . pp. 254-264

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.

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

Probabilistic image-based characterization of manuscript inks
Kokla, V., Psarrou, A. and Konstantinou, V. 2005. Probabilistic image-based characterization of manuscript inks. in: Salimbeni, R. and Pezzati, L. (ed.) Proceedings of SPIE: optical methods for arts and archaeology International Society for Optical Engineering.

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

Key-frame extraction algorithm using entropy difference
Mentzelopoulos, M. and Psarrou, A. 2004. Key-frame extraction algorithm using entropy difference. in: Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval New York, USA ACM. pp. 39-45

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

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

Recognition of human gestures and behaviour based on motion trajectories
Psarrou, A., Gong, S. and Walter, M. 2002. Recognition of human gestures and behaviour based on motion trajectories. Image and Vision Computing. 20 (5-6), pp. 349-358. https://doi.org/10.1016/S0262-8856(02)00007-0

Corresponding dynamic appearances
Gong, S., Psarrou, A. and Romdani, S. 2002. Corresponding dynamic appearances. Image and Vision Computing. 20 (4), pp. 307-318. https://doi.org/10.1016/S0262-8856(02)00025-2

Image processing: a helpful tool in art conservation
Kokla, V., Psarrou, A. and Konstantinou, V. 2002. Image processing: a helpful tool in art conservation. in: Van Grieken, R., Janssens, K., Dack, L.V.T. and Meersman, G. (ed.) Art 2002 : 7th International Conference on Non-destructive Testing and Microanalysis for the Diagnostics and Conservation of the Cultural and Environmental Heritage 2-6 June 2002 Congress Centre Elzenveld, Antwerp, Begium: proceedings Antwerp University of Antwerp.

Use of non-destructive methodology in the identification of old inks
Alexopoulou, A., Kokla, V., Psarrou, A. and Konstantinou, V. 2002. Use of non-destructive methodology in the identification of old inks. in: Van Grieken, R., Janssens, K., van't dack, L. and Meersman, G. (ed.) Art 2002: proceedings of the 7th International Conference on Non-Destructive Testing and Microanalysis for Diagnostics and Conservation of Cultural and Environmental Heritage, 2002 Antwerp, Belgium University of Antwerp.

Data driven model acquisition using minimum description length
Walter, M., Psarrou, A. and Gong, S. 2001. Data driven model acquisition using minimum description length. in: Cootes, T. and Taylor, C. (ed.) BMVC: Proceedings of the 12th British Machine Vision Conference BMVA. pp. 673-683

Auto clustering for unsupervised learning of atomic gesture components using minimum description length
Walter, M., Psarrou, A. and Gong, S. 2001. Auto clustering for unsupervised learning of atomic gesture components using minimum description length. in: Proceedings of IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001 USA IEEE . pp. 157-162

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.

An incremental approach towards automatic model acquisition for human gesture recognition
Walter, M., Psarrou, A. and Gong, S. 2000. An incremental approach towards automatic model acquisition for human gesture recognition. Workshop on Human Motion. Austin, Texas 07 - 08 Dec 2000 IEEE . https://doi.org/10.1109/humo.2000.897369

On utilising template and feature-based correspondence in multi-view appearance models
Romdhani, S., Psarrou, A. and Gong, S. 2000. On utilising template and feature-based correspondence in multi-view appearance models. 6th European Conference on Computer Vision. Dublin, Ireland 26 Jun - 01 Jul 2000 Springer. https://doi.org/10.1007/3-540-45054-8_52

A generic face appearance model of shape and texture under very large pose variations from profile to profile views
Romdhani, S., Gong, S. and Psarrou, A. 2000. A generic face appearance model of shape and texture under very large pose variations from profile to profile views. 15th International Conference on Pattern Recognition. ICPR-2000. Barcelona, Spain 03 - 07 Sep 2000 IEEE . https://doi.org/10.1109/ICPR.2000.905654

Learning a single active face shape model across views
Romdhani, S., Psarrou, A. and Gong, S. 1999. Learning a single active face shape model across views. International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. In Conjunction with ICCV'99. Corfu, Greece 26 - 27 Sep 1999 IEEE . https://doi.org/10.1109/ratfg.1999.799220

A dynamic JAVA-based intelligent interface for online image database searches
Konstantinou, V. and Psarrou, A. 1999. A dynamic JAVA-based intelligent interface for online image database searches. Third International Conference, VISUAL'99. Amsterdam, The Netherlands 02 - 04 Jun 1999 Springer. https://doi.org/10.1007/3-540-48762-x_27

Stochastic temporal models of human activities
Walter, M., Gong, S. and Psarrou, A. 1999. Stochastic temporal models of human activities. IEEE International Workshop on Modelling People. MPeople'99. Kerkyra, Greece 20 Sep 1999 IEEE . https://doi.org/10.1109/people.1999.798350

Recognition of temporal structures: Learning prior and propagating observation augmented densities via hidden Markov states
Gong, Shaogang, Walter, Michael and Psarrou, Alexandra 1999. Recognition of temporal structures: Learning prior and propagating observation augmented densities via hidden Markov states. Seventh IEEE International Conference on Computer Vision. Kerkyra, Greece 20 - 27 Sep 1999 IEEE . https://doi.org/10.1109/ICCV.1999.791212

Using RBF networks to map GWT ridge images to pose
Psarrou, A. and Tanner, J. 1998. Using RBF networks to map GWT ridge images to pose. Third Asian Conference on Computer Vision (ACCV'98). Hong Kong, China 08 - 10 Jan 1998 Springer Nature. https://doi.org/10.1007/3-540-63930-6_180

Content-based search in medieval manuscripts
Psarrou, A., Konstantinou, V., Morse, P. and O'Reilly, P. 1997. Content-based search in medieval manuscripts. IEEE TENCON '97. IEEE Region 10 Annual Conference. Brisbane, QLD, Australia 04 Dec 1997 IEEE . https://doi.org/10.1109/TENCON.1997.647288

Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks
Psarrou, Alexandra, Gong, Shaogang and Buxton, Hilary 1995. Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks. ICNN'95 - International Conference on Neural Networks. Perth, WA, Australia 27 Nov - 01 Dec 1995 IEEE . https://doi.org/10.1109/ICNN.1995.487707

A neural network platform for recognising a sequence of cell images
Psarrou, A. and Buxton, H. 1992. A neural network platform for recognising a sequence of cell images. Applications of Artificial Neural Networks III: Aerospace Sensing. Orlando, FL, United States 16 Sep 1992 https://doi.org/10.1117/12.139983

Neural network approach to the computation of visual algorithms
Psarrou, A. and Buxton, H. 1989. Neural network approach to the computation of visual algorithms. First IEE International Conference on Artificial Neural Networks. London, UK 16 - 18 Oct 1989 IEEE .