• ANFIS-Net for automatic detection of COVID-19 

      Al-ali A.; Elharrouss O.; Qidwai U.; Al-Maadeed, Somaya ( Nature Research , 2021 , Article)
      Among the most leading causes of mortality across the globe are infectious diseases which have cost tremendous lives with the latest being coronavirus (COVID-19) that has become the most recent challenging issue. The extreme ...
    • Bayesian Hierarchical Clustering for Studying Cancer Gene Expression Data with Unknown Statistics 

      Sirinukunwattana, Korsuk; Savage, Richard S.; Bari, Muhammad F.; Snead, David R.J.; Rajpoot, Nasir M. ( Public Library of Science , 2013 , Article)
      Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve ...
    • BEMD-3DCNN-based method for COVID-19 detection 

      Riahi, A.; Elharrouss, O.; Al-Maadeed, Somaya ( Elsevier Ltd , 2022 , Article)
      The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ...
    • Encoder-decoder architecture for ultrasound IMC segmentation and cIMT measurement 

      Al-Mohannadi A.; Al-Maadeed, Somaya; Elharrouss O.; Sadasivuni K.K. ( MDPI , 2021 , Article)
      Cardiovascular diseases (CVDs) have shown a huge impact on the number of deaths in the world. Thus, common carotid artery (CCA) segmentation and intima-media thickness (IMT) measurements have been significantly implemented ...
    • Multi-stage intra-patient template matching for prostate detection in MR volumes 

      Jahed, Zeinab; Shaban, Khaled; Tizhoosh, Hamid R. (2013 , Conference Paper)
      Detecting objects, a significant task in computer vision, is accompanied with many challenges. When we focus on medical images, the challenges of detecting an organ or a tumour exhibit their own specific difficulties. ...
    • Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network 

      Hussein R.; Mohamed A.; Alghoniemy M. ( Elsevier Ltd , 2015 , Article)
      Recent technological advances in wireless body sensor networks have made it possible for the development of innovative medical applications to improve health care and the quality of life. By using miniaturized wireless ...