Publications

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Conference Paper
Khalaf, A. F., I. A. Yassine, and A. S. Fahmy, "Convolutional neural networks for deep feature learning in retinal vessel segmentation ", IEEE International Conference on Image Processing (ICIP), Phoenix, USA, Sept, 2016.
Fawzy, A., M. I. Owis, and I. A. Yassine, "Novel Bayesian Classifier discriminant function Optimization Strategies for Arythmia Classification", Biomedical and health Informatics (BHI), Valencia, Spain, 693-696, 2014.
Fawzy, A., and I. A. Yassine, "Spectral Correlation Analysis For Microcalcification Detection In Digital Mammogram Images", International Symposium in Biomedical Imaging ISBI, Brooklyn, NY, USA, April, 16, 2015.
Makary, M. M., and I. A. Yassine, "Study of Effect of Regularized Neural Network on the Accuracy of Handwriting Recognition", The 5th International Conference on Information and Communication Technologies for Amazigh, Rebat, Moroco, 2012.
Conference Proceedings
Yassine, I. A., and T. E. Mcgraw, "4th Order Diffusion Tensor Interpolation With Divergence and Curl Constrained Bezier Patches", 6th International Symposium on Biomedical Imaging(ISBI): Macro to Nano, Boston, MS, USA, pp. 634-637, 2009.
Eldeeb, G., N. Zayed, and I. A. Yassine, "Alzheimer’s Disease Classification Using Bag-of-Words Based on Visual Pattern of Diffusion Anisotropy for DTI Imaging", 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, pp. 57-60, 2018.
Mousa, D., N. Zayed, and I. A. Yassine, "Automatic Cardiac MRI Localization Method", Cairo International biomedical Engineering Conference, Cairo, Egypt, pp. 153-157, Dec, 12, 2014.
Emad, O., I. A. Yassine, and A. S. Fahmy, "Automatic Localization of the Left Ventricle in Cardiac MRI Images Using Deep Learning", IEEE- Engineering in Medicine and Biology Conference, Milan, Italy, pp. 683-686, 2015.
Abduallatif, N. A., Sara G Elsherbini, B. S. Boshra, and I. A. A. Yassine, "Brain-Computer Interface controlled functional electrical stimulation system for paralyzed arm", 8th Cairo International Biomedical Engineering Conference (CIBEC), , Cairo, Egypt, pp. 48-51, 2016.
Serag, M., M. Wael, I. A. Yassine, and A. S. Fahmy, "Cardiac MRI View Classification using Autoencoder", Cairo International Biomedical Engineering Conference, Cairo, Egypt, pp. 125-128, 2014.
Yassine, I. A., M. L. Serrano, B. Vila, J. M. Tormos, and E. Gomez, "Content-based image retrieval system for brain magnetic resonance imaging based on Pseudo-Zernike coefficients combined with wavelet features", Computer Assisted Radiology and Surgery, Barcelona, Spain, 2015.
Bibars, M., P. E. Salah, A. Eldeib, M. A. Elattar, and I. A. Yassine, "Cross-Modality Deep Transfer Learning: Application to Liver Segmentation in CT and MRI", Annual Conference on Medical Image Understanding and Analysis, UK, pp. 96-110, June, 2023.
Yassine, I. A., A. M. Youssef, and Y. M. Kadah, "Development of a Matlab Graphical User Interface for The Multi-Tensor Analysis of Diffusion Magnetic Resonance Imaging", Cairo International Biomedical Engineering Conference, Cairo, Egypt, pp. 1-4, 2006.
Mousa, D., N. Zayed, and I. A. Yassine, "Factors Affecting the Level Set Segmentation of the Heart Ventricles in Short Axis Cardiac Perfusion MRI Images", The 39th Conference of The Canadian Medical and Biological Engineering/La Societe Canadiénné de Génie Biomédical, 2016.
Khalaf, A. F., M. I. Owis, and I. A. Yassine, "Image Features of Spectral Correlation Function for Arrhythmia Classification", IEEE- Engineering in Medicine and Biology Conference, Milan, Italy, pp. 5199 - 5202, 2015.
Mousa, D., N. M. Zayed, and I. A. Yassine, "The Impact of Polar based initialization and frame time curve selection on Left Ventricle short axis Perfusion MR Segmentation", Proc. of Intl. Soc. Mag. Reson. Med.: 24, pp. 1925, 2016.
Salah, P. E., M. Bibars, A. Eldeib, A. M. Ghanem, A. M. Gharib, K. Z. Abd-Elmoniem, M. A. Elattar, and I. A. Yassine, "Iterative Refinement Algorithm for Liver Segmentation Ground-Truth Generation Using Fine-Tuning Weak Labels for CT and Structural MRI", Annual Conference on Medical Image Understanding and Analysis, UK, pp. 33-47, 2023.
Elmahdy, M. S., S. S. Abdeldayem, and I. A. Yassine, "Low quality dermal image classification using transfer learning", IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) , pp. 373-376, 2017.
Abdeldayem, S., and I. A. Yassine, "Multi-Scale Hybrid Filter For Vasculature Extraction Enhancement", IEEE- Engineering in Medicine and Biology Conference, Milan, Italy, 2015.
McGraw, T., T. Kawai, and I. Yassine, "New Scalar Measures for Diffusion-Weighted MRI Visualization", International Symposium on Visual Computing, Las Vegas, NV, USA, pp. 934-943, 2009.
Kalaf, A. F., and I. A. Yassine, "Novel Features For Microcalci-fication Detection In Digital Mammogram Images based On Wavelet And Statistical Analysis", IEEE-International Conference on Image Processing, Quebec, Canada, 2015.
Yassine, I. A., A. M. Youssef, and Y. M. Kadah, "Novel Methods for resolving diffusion tensor magnetic resonance imaging", URSI National Radio Science Meeting, Menoufia, Egypt, pp. 1-8, 2006.
Kadah, Y. M., X. Ma, S. LaConte, I. Yassine, and X. Hu, "Robust multicomponent modeling of diffusion tensor magnetic resonance imaging data", Medical Imaging: International Society for Optics and Photonics., pp. 148-159, 2005.
Yassine, I. A., N. S. Metwalli, A. M. Youssef, and Y. M. Kadah, "Study of the effect of noise on the calculation of diffusion indices in diffusion tensor magnetic resonance imaging", Cairo International Biomedical Engineering Conference, Cairo, Egypt, pp. 1-4, 2004.
Yassine, I. A., and T. E. Mcgraw, "A Subdivision Approach to Tensor Field Interpolation", Medical Image computing and Computer Assisted Imaging (MICCAI): Workshop On Computational Diffusion MRI, Manhaten, NY, USA, pp. 117-124, 2008.
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