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Mahmoud El-Sakka

Associate Professor · Department of Computer Science

Western University · Canada

代表成果

  • Ossama Mahmoud, GH Janssen and Mahmoud R. El-Sakka, "Machine-Learning-Based Functional Microcirculation Analysis", Annual Conference on Innovative Applications of Artificial Intelligence, IAAI'2020, pp. I3326-I3331, February 2020, New York, New York, USA.
  • Mahmud Hasan and Mahmoud R. El-Sakka, "Improved BM3D Image Denoising using SSIM Optimized Wiener Filter", EURASIP Journal on Image and Video Processing, Vol. 2018:25, pp. 1-12, December 2018
  • AbdulWahab Kabani and Mahmoud R. El-Sakka, "Ejection Fraction Estimation Using a Wide Convolutional Neural Network", International Conference on Image Analysis and Recognition, ICIAR'2017, LNCS 10317, pp. 87-96, Springer-Verlag Berlin Heidelberg, July 2017, Montreal, Canada.
  • AbdulWahab Kabani and Mahmoud R. El-Sakka, "Improving Right Whale Recognition by Fine-tuning Alignment and Using Wide Localization Network", Canadian Conference on Electrical and Computer Engineering, CCECE'2017, pp. 687-69a,2 May 2017, Windsor, Canada.
  • Monagi Alkinani and Mahmoud R. El-Sakka, "Patch-based Models and Algorithms for Image Denoising: A Comparative Review Between Patch-based Images Denoising Methods for Additive Noise Reduction", EURASIP Journal on Image and Video Processing, Vol. 2017:48, pp. 1-27, December 2017, (Full Article)
  • AbdulWahab Kabani and Mahmoud R. El-Sakka, "Object Detection and Localization using Deep Convolutional Networks with Softmax Activation and Multi-class Log Loss", International Conference on Image Analysis and Recognition, ICIAR'2016, LNCS 9730, pp. 358-366, Springer-Verlag Berlin Heidelberg, July 2016, Povoa de Varzim, Portugal.
  • Asif Khan and Mahmoud R. El-Sakka, "Adaptive Non-Local Means using Weight Thresholding", Lecture Notes in Communications in Computer and Information Science (CCIS), Springer-Verlag Berlin Heidelberg, (22 pages), 2016.
  • Ishtiaque Hossain, Angela Roberts-South, Mandar Jog, and Mahmoud R. El-Sakka, "Semi-automatic Assessment of Hyoid Bone Motion in Digital Video Fluoroscopic Images", Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol. 2, No. 1, pp. 25-7, 2014

数据校验于 9/6/2026数据来源

学生评价

还没有评价。成为第一位分享经验的学生吧。