Browsing by Author "394d7715-1493-4c37-a75e-5f6f1cebb5cd"

Now showing items 1-6 of 6

    • Exogenous Contrast Agents in Photoacoustic Imaging: An In Vivo Review for Tumor Imaging 

      Farooq, Afifa; Sabah, Shafiya; Dhou, Salam; AlSawaftah, Nour Majdi; Husseini, Ghaleb (MDPI, 2022)
      The field of cancer theranostics has grown rapidly in the past decade and innovative ‘biosmart’ theranostic materials are being synthesized and studied to combat the fast growth of cancer metastases. While current ...

    • In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks 

      Dweek, Samaa; Dhou, Salam; Shanableh, Tamer (Society of Photo-Optical Instrumentation Engineers (SPIE), 2022)
      Respiratory-Correlated cone beam computed tomography (4D-CBCT) is an emerging image-guided radiation therapy (IGRT) technique that is used to account for the uncertainties caused by respiratory-induced motion in the ...

    • Microwave Imaging for Early Breast Cancer Detection: Current State, Challenges, and Future Directions 

      AlSawaftah, Nour Majdi; Elabed, Salma Sami; Dhou, Salam; Zakaria, Amer (MDPI, 2022)
      Breast cancer is the most commonly diagnosed cancer type and is the leading cause of cancer-related death among females worldwide. Breast screening and early detection are currently the most successful approaches for the ...

    • Motion-Based Gait Recognition for Recognizing People in Traditional Gulf Clothing 

      Towheed, Mohammad Asif; Kiyani, Wasif; Ummar, Mumtaz; Shanableh, Tamer; Dhou, Salam (IEEE, 2019)
      Gait recognition is gaining popularity as it can recognize people in a non-intrusive and a non-contact manner. However, gait recognition is known for its susceptibility to clothing conditions. In this paper, we propose a ...

    • Prediction of EV Charging Behavior Using Machine Learning 

      Shahriar, Sakib; Al-Ali, Abdul-Rahman; Osman, Ahmed; Dhou, Salam; NIJIM, MAIS (IEEE Access, 2021)
      As a key pillar of smart transportation in smart city applications, electric vehicles (EVs) are becoming increasingly popular for their contribution in reducing greenhouse gas emissions. One of the key challenges, however, ...

    • Quantifying day-to-day variations in 4DCBCT-based PCA motion models 

      Dhou, Salam; Lewis, John; Cai, Weixing; Ionascu, Dan; Williams, Christopher (IOP Science, 2020)
      The aim of this paper is to quantify the day-to-day variations of motion models derived from pre-treatment 4-dimensional cone beam CT (4DCBCT) fractions for lung cancer stereotactic body radiotherapy (SBRT) patients. Motion ...