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    Browsing by Author "Al-Ansari, Abdulla"

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        Advancements in Deep Learning for B-Mode Ultrasound Segmentation: A Comprehensive Review 

        Ansari, Mohammed Yusuf; Mangalote, Iffa Afsa Changaai; Meher, Pramod Kumar; Aboumarzouk, Omar; Al-Ansari, Abdulla; Halabi, Osama; Dakua, Sarada Prasad... more authors ... less authors ( IEEE Xplore , 2024 , Article)
        Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US image segmentation is crucial in image analysis. Recently, deep learning-based methods are increasingly being used to segment US ...
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        Evaluation of user-interfaces for controlling movements of virtual minimally invasive surgical instruments 

        Shabir, Dehlela; Anbatawi, Malek; Padhan, Jhasketan; Balakrishnan, Shidin; Al-Ansari, Abdulla; Abinahed, Julien; Tsiamyrtzis, Panagiotis; Yaacoub, Elias; Mohammed, Amr; Deng, Zhigang; Navkar, Nikhil V.... more authors ... less authors ( John Wiley & Sons , 2022 , Article)
        Background: Recent tele-mentoring technologies for minimally invasive surgery (MIS) augments the operative field with movements of virtual surgical instruments as visual cues. The objective of this work is to assess different ...
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        Preliminary design and evaluation of a remote tele-mentoring system for minimally invasive surgery 

        Shabir, Dehlela; Abdurahiman, Nihal; Padhan, Jhasketan; Anbatawi, Malek; Trinh, May; Balakrishnan, Shidin; Al-Ansari, Abdulla; Yaacoub, Elias; Deng, Zhigang; Erbad, Aiman; Mohammed, Amr; Navkar, Nikhil V.... more authors ... less authors ( Springer Nature , 2022 , Article)
        Background: Tele-mentoring during surgery facilitates the transfer of surgical knowledge from a mentor (specialist surgeon) to a mentee (operating surgeon). The aim of this work is to develop a tele-mentoring system tailored ...

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        Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

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