• Brain Tumor Classification Using a Pre-Trained Auxiliary Classifying Style-Based Generative Adversarial Network 

      Kumaar, M. Akshay; Samiayya, Duraimurugan; Rajinikanth, Venkatesan; Raj Vincent P M, Durai; Kadry, Seifedine (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 02/2023)
      Computer Vision's applications and their use cases in the medical field have grown vastly in the past decade. The algorithms involved in these critical applications have helped doctors and surgeons perform procedures on ...
    • Difusion-Weighted MRI: from Brownian Motion to Head&Neck Tumor Characterization 

      Utrilla Contreras, Cristina; Buitrago Sánchez, Nelson Mauricio; Graessner, Joachim; García Raya, Pilar; Marin Aguilera, Begoña (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2017)
      This paper describes basic physics as well as clinical applications of diffusion-weighted magnetic resonance imaging. This is a technique that provides complementary information to conventional imaging sequences and it is ...
    • Integration of Genetic Programming and TABU Search Mechanism for Automatic Detection of Magnetic Resonance Imaging in Cervical Spondylosis 

      Juan, Chun-Jung; Wang, Chen-Shu; Lee, Bo-Yi; Chiang, Shang-Yu; Yeh, Chun-Chang; Cho, Der-Yang; Shen, Wu-Chung (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Cervical spondylosis is a kind of degenerative disease which not only occurs in elder patients. The age distribution of patients is unfortunately decreasing gradually. Magnetic Resonance Imaging (MRI) is the best tool to ...