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
2023
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
2023
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
2023
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
2023
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 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
2019
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
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
2016
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
2016
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
2012
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
2011
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
2010
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
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
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
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
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