• A method towards cerebral aneurysm detection in clinical settings 

      Dakua, Sarada Prasad; Abinahed, Julien; Al-Ansari, Abdulla; Bermejo, Pablo Garcia; Zakaria, Ayaman; ... more authors ( Springer Verlag , 2019 , Conference Paper)
      Cerebral aneurysms are among most prevalent and devastating cerebrovascular diseases of adult population worldwide. The resulting sequelae of untimely/inadequate therapeutic intervention include sub-arachnoid hemorrhage. ...
    • Automated liver tissues delineation techniques: A systematic survey on machine learning current trends and future orientations 

      Al-Kababji, Ayman; Bensaali, Faycal; Dakua, Sarada Prasad; Himeur, Yassine ( Elsevier , 2023 , Short Survey)
      Machine learning and computer vision techniques have grown rapidly in recent years due to their automation, suitability, and ability to generate astounding results. Hence, in this paper, we survey the key studies that are ...
    • INTELLIGENT AGENT-BASED 3D SIMULATION OF COVID-19 FOR ANALYSIS OF SOCIAL CONTROL MEASURES 

      AL-KHAYARIN, ABDULRAHMAN ZAYED (2022 , Master Thesis)
      The aim of this research is to model and simulate the recent and ongoing COVID-19 pandemic in terms of virus contagiousness among mixed groups of patients, carriers, and unaffected populations. The focus is on closed ...
    • A lightweight neural network with multiscale feature enhancement for liver CT segmentation 

      Ansari, Mohammed Yusuf; Yang, Yin; Balakrishnan, Shidin; Abinahed, Julien; Al-Ansari, Abdulla; ... more authors ( Nature Research , 2022 , Article)
      Segmentation of abdominal Computed Tomography (CT) scan is essential for analyzing, diagnosing, and treating visceral organ diseases (e.g., hepatocellular carcinoma). This paper proposes a novel neural network (Res-PAC-UNet) ...
    • Scheduling Techniques for Liver Segmentation: ReduceLRonPlateau vs OneCycleLR 

      Al-Kababji, Ayman; Bensaali, Faycal; Dakua, Sarada Prasad ( Springer Science and Business Media Deutschland GmbH , 2022 , Conference Paper)
      Machine learning and computer vision techniques have influenced many fields including the biomedical one. The aim of this paper is to investigate the important concept of schedulers in manipulating the learning rate (LR), ...
    • Segmenting Liver Volume for Surgical Analysis 

      Al-Kababji, Ayman Jamal; Bensaali, Faycal; Dakua, Sarada Prasad ( Qatar University Press , 2021 , Poster)
      Introduction: Almost two million people worldwide die annually due to hepatic-related diseases. Half of these diseases are attributed to cirrhosis and the other half are related to hepatitis and hepatocellular carcinoma ...
    • Zynq SoC based acceleration of the lattice Boltzmann method 

      Zhai, Xiaojun; Amira, Abbes; Bensaali, Faycal; Al-Shibani, Al Maha; Al-Nassr, Asma; ... more authors ( John Wiley and Sons Ltd , 2019 , Article)
      Cerebral aneurysm is a life-threatening condition. It is a weakness in a blood vessel that may enlarge and bleed into the surrounding area. In order to understand the surrounding environmental conditions during the ...
    • Zynq SoC based lattice-boltzmann simulation environment 

      Zhai, Xiaojun; Chen, Minsi; Esfahani, Sahar Soheilian; Amira, Abbes; Bensaali, Faycal; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)
      Cerebral aneurysm is a life-threatening disease that may enlarge and bleed into surrounding area. Therefore, diagnosis of aneurysm is highly important as early as possible to help doctors to decide the right treatment. The ...