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    Browsing by Author "Khan, Muhammad Salman"

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        Deep Learning Framework for Liver Segmentation from T1-Weighted MRI Images 

        Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E.H.; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; Bhuiyan, Enamul Haque; Khandakar, Amith; Hossain, Maqsud; Sadique, Abdus; Al-Hashimi, Israa; Ayari, Mohamed Arselene; Mahmud, Sakib; Alqahtani, Abdulrahman... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
        The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ...
      • A novel classical machine learning framework for early sepsis prediction using electronic health record data from ICU patients 

        Prithula, Johayra; Islam, Khandaker Reajul; Kumar, Jaya; Tan, Toh Leong; Reaz, Mamun Bin Ibne; Rahman, Tawsifur; Zughaier, Susu M.; Khan, Muhammad Salman; Murugappan, M.; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2025 , Article)
        Sepsis, a life-threatening condition triggered by the body's response to infection, remains a significant global health challenge, annually affecting millions in the United States alone with substantial mortality and ...
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        Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware 

        Khan, Kaleem Nawaz; Ullah, Najeeb; Ali, Sikandar; Khan, Muhammad Salman; Nauman, Mohammad; Ghani, Anwar... more authors ... less authors ( Hindawi Limited , 2022 , Article)
        Android is one of the leading operating systems for smartphones in terms of market share and usage. Unfortunately, it is also an appealing target for attackers to compromise its security through malicious applications. To ...
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        Preserving the beamforming effect for spatial cue-based pseudo-binaural dereverberation of a single source 

        Gul, Sania; Khan, Muhammad Salman; Shah, Syed Waqar ( Academic Press , 2023 , Article)
        Reverberations are unavoidable in enclosures, resulting in reduced intelligibility for hearing impaired and non-native listeners and even for the normal hearing listeners in noisy circumstances. It also degrades the ...

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