Computational Vision and Imaging Technology

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

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

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

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

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

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

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

Fry, E., Triantaphillidou, S., Jacobson, R., Jarvis, J. and Fagard-Jenkin, R. 2018. Bridging the Gap Between Imaging Performance and Image Quality Measures. IS&T Electronic Imaging Symposium 2018 - Image Quality System Performance XV. San Francisco, CA, USA 28 Jan - 01 Feb 2018 The Society of Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2018.12.IQSP-231

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

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

Triantaphillidou, S., Jarvis, J. and Gupta, G. 2022. Contrast discrimination in images of natural scenes. Journal of the Optical Society of America A. 39 (6), pp. B50-B64. https://doi.org/10.1364/JOSAA.447390

Triantaphillidou, S., Jarvis, J. and Gupta, G. 2014. Contrast sensitivity and discrimination in pictorial images. SPIE Electronic Imaging: Image Quality and System Performance XI. San Francisco, USA Jan 2014 SPIE. https://doi.org/10.1117/12.2040007

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

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

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

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

Triantaphillidou, S., Fry, E., Sanchis, V. and Pons, A. 2018. Image quality loss and compensation for visually impaired observers. IS&T Electronic Imaging Symposium: Image Quality System Performance Conference. San Francisco, California, USA 28 Jan - 02 Feb 2018 The Society of Imaging Science and Technology. https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-365

Mentzelopoulos, M., Parrish, J, Kathrani, P. and Economou, D. 2016. Immersive Learning Research Network. in: Allison, C, Morgado, L, Pirker, J., Beck, D, Richter, J and Gutl, C. (ed.) Immersive Learning Research Network: Volume 621 of the series Communications in Computer and Information Science Santa Barbara, CA, USA, June 27 – July 1, 2016 Springer. pp. 73-84

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

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

Ralby, A., Mentzelopoulos, M. and Cook, H. 2017. Learning Languages and Complex Subjects with Memory Palaces. in: Immersive Learning Research Network. iLRN 2017. Communications in Computer and Information Science, vol 725 Springer. pp. 217-228

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

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

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

Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. 2020. Noise Power Spectrum Scene-Dependency in Simulated Image Capture Systems. 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-345

Mentzelopoulos, M., Ferguson, J. and Protopsaltis, A. 2016. Perceptual user interface framework for immersive information retrieval environments (An experimental framework for testing and rapid iteration). International Journal of Interactive Mobile Technologies (iJIM). 10 (2), pp. 64-71. https://doi.org/10.3991/ijim.v10i2.5643

Mentzelopoulos, M., Ferguson, J. and Protopsaltis, A. 2015. Perceptually captured gesture interaction with immersive information retrieval environments: An experimental framework for testing and rapid iteration. 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL). Thessaloniki, Greece 19 Nov 2015 IEEE . https://doi.org/10.1109/IMCTL.2015.7359608

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

Protopsaltis, A., Ferguson, J., Mentzelopoulos, M. and Kaloyan,K 2016. Quiz Cube:an AR mobile learning application. 11th International Workshop on Semantic and Social Media Adaptation and Personalization. Thessaloniki, Greece 20 - 21 Oct 2016 IEEE . https://doi.org/10.1109/SMAP.2016.7753401

Fry, E., Triantaphillidou, S., Jenkin, R., Jacobson, R.E. and Jarvis, J. 2019. Scene-and-Process-Dependent Spatial Image Quality Metrics. Journal of Imaging Science and Technology. 63 (6), pp. 060407-1–060407-13 13. https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.6.060407

Larabi, M.C., Watson, A.B. and Triantaphillidou, S. 2014. Special Section Guest Editorial: Image/Video Quality and System Performance. Journal of Electronic Imaging. 23 (6), pp. 061101-1 - 061101-2 1. https://doi.org/10.1117/1.JEI.23.6.061101

Triantaphillidou, S., Smejkal, J., Fry, E. and Chuang Hsin Hung 2020. Studies on the effect of MegaPixel sensor resolution on displayed image quality and relevant metrics. 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-170

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

Branca, R., Triantaphillidou, S. and Burns, P.D. 2017. Texture MTF from images of natural scenes. Jenkin, R. and Jin, E. (ed.) Electronic Imaging: Image Quality and System Performance XIV. San Francisco, California, USA 29 Jan - 02 Feb 2017 The Society of Imaging Science and Technology. https://doi.org/10.2352/ISSN.2470-1173.2017.12.IQSP-255

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

Mentzelopoulos, M. 2017. Transforming the teaching experience. Westminster Higher Education Forum UK Headquarters, 4 Bracknell Beeches, Old Bracknell Lane, West Bracknell, Berkshire. RG12 7BW 18 Oct 2017

Fry, E., Triantaphillidou, S., Jenkin, R., Jarvis, J. and Jacobson, R.E. 2019. Validation of Modulation Transfer Functions and Noise Power Spectra from Natural Scenes. Journal of Imaging Science and Technology. 63 (6), pp. 060406-1–060406-11. https://doi.org/10.2352/J.ImagingSci.Technol.2019.63.6.060406

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

Mentzelopoulos, M. and Kathrani, P. 2016. Virtual reality helps students to master criminal law. THE TIMES.