Al-Khubara' : USIM Expert

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PROF. MADYA DR. AZIRA BINTI KHALIL

PENSYARAH UNIVERSITI DS14

Faculty

Fakulti Sains Dan Teknologi

Usim Expert: https://iinova-registration.usim.edu.my/azira Phone: 88732 E-mail: azira@usim.edu.my
  • 6. PERFORMANCE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING ARCHITECTURES ON EARLY STROKE DETECTION USING CAROTID ARTERY ULTRASOUND IMAGES

    FRONTIERS IN AGING NEUROSCIENCE

    2022 SCOPUS CORRESPONDING AUTHOR
  • 7. CT-MRI DUAL INFORMATION REGISTRATION FOR THE DIAGNOSIS OF LIVER CANCER: A PILOT STUDY USING POINT-BASED REGISTRATION.

    CURRENT MEDICAL IMAGING REVIEWS

    2022 ISI CORRESPONDING AUTHOR
  • 8. MULTICLASS CONVOLUTION NEURAL NETWORK FOR CLASSIFICATION OF COVID-19 CT IMAGES

    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE

    2022 SCOPUS CO-AUTHOR
  • 9. PROSTATE CANCER MONITORING USING MRI MONOMODAL FEATURE-BASED REGISTRATION

    JURNAL FIZIK MALAYSIA

    2022 OTHER DATABASE CORRESPONDING AUTHOR
  • 10. AN OVERVIEW OF DEEP LEARNING TECHNIQUES ON CHEST X-RAY AND CT SCAN IDENTIFICATION OF COVID-19

    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE

    2021 ISI MAIN AUTHOR / CONTACT PERSON IN USIM
  • Journal 22
  • Proceeding 11
  • Chapter in Book 5
  • Book 2
  • Policy 0