My main research interests are in computer vision including: image processing, data mining and machine learning, Deep learning, pattern recognition, and Biomedical image analysis.
I am currently working as a Research Fellow in Biomedical Image Analysis at Warwick University, Coventry, UK. Before joining Warwick University, I worked for the Nottingham Molecular Pathology Node (NMPN), School of Medicine at Nottingham University, Nottingham, UK, as a Research Fellow in Histology Image Analysis. Also, I held the position of Marie Curie Research Fellow at the School of Computer Science at Nottingham University. I received my Ph.D. degree (with Doctor Europaeus) in Computer Science and Engineering from IMT - Institute for Advanced Studies, Lucca, Italy. During my PhD studies, I was a Visiting Researcher at Robert Gordon University, Aberdeen, UK. Moreover, I did the pre-graduate A*STAR research attachment Programme at A*STAR Bioinformatics Institute, Singapore within the Image Informatics Division. I have been involved in the program committees of major conferences related to machine learning, including HPCC, EIDWT and CIBEC and have served as a reviewer for international journals such as IET Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, IEEE Signal Processing Letters, IEEE Transactions on Image Processing, International Journal for Light and Electron Optics, Sensors, and Computer Methods and Programs in Biomedicine.
- Abdelsamea, Mohammed M., Gnecco, Giorgio, Medhat Gaber, Mohamed, 2017. A SOM-based Chan?Vese model for unsupervised image segmentation. Soft Computing, 21 (8), pp. 2047-2067
- Abdelsamea, Mohammed M., 2016. A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes. Journal of Visual Communication and Image Representation, 41, pp. 314-323
- Abdelsamea, Mohammed M., Gnecco, Giorgio, Gaber, Mohamed Medhat, Elyan, Eyad, 2015. On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015, pp. 1-19
- Abdelsamea, Mohammed M., Gnecco, G., 2015. Robust local?global SOM-based ACM. Electronics Letters, 51 (2), pp. 142-143
- Minervini, Massimo, Abdelsamea, Mohammed M., Tsaftaris, Sotirios A., 2014. Image-based plant phenotyping with incremental learning and active contours. Ecological Informatics, 23, pp. 35-48
- Abdelsamea, Mohammed M., Gnecco, Giorgio, Gaber, Mohamed Medhat, 2014. A concurrent SOM-based Chan-Vese model for image segmentation. In Villmann, T.; Schleif , F. M.; Kaden , M.; Lange , M. (eds.), Advances in Self-Organizing Maps and Learning Vector Quantization, Cham, Springer, pp. 199-208
- Abdelsamea, Mohammed M., Gnecco, Giorgio, Gaber, Mohamed Medhat, 2014. A survey of SOM-based active contour models for image segmentation. In Villmann, T.; Schleif , F. M.; Kaden , M.; Lange , M. (eds.), Advances in Self-Organizing Maps and Learning Vector Quantization, Cham, Springer, pp. 293-302
- Abdelsamea, Mohammed M., Tsaftaris, Sotirios A., 2013. Active contour model driven by Globally Signed Region Pressure Force. 2013 18th International Conference on Digital Signal Processing (DSP), Fira, Greece, 1-3 July 2013, pp. 1-6
- Mohamed, M. H., Abdelsamea, Mohammed M., 2009. An efficient clustering based texture feature extraction for medical image. 2008 11th International Conference on Computer and Information Technology, Khulna, Bangladesh, 24 -27 Dec 2008, Published in 11th International Conference on Computer and Information Technology, 2008. ICCIT 2008, pp. 88-93