Prof. Dr. D.N.F. Awang Iskandar
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Prof. Dr. D.N.F. Awang Iskandar

Professor, Faculty of Computer Science & IT, UNIMAS. Ph.D., RMIT Australia; postdoctoral research at Heriot-Watt (EU CUBIST project) and Jodrell Bank Centre for Astrophysics, Manchester. Spatio-temporal image analysis and semantics in medicine, agriculture and astronomy — PhD supervision partner for AIRL's medical and surveillance AI lines. Profile

Malaysia
Co-authored with Dr. Ghazanfar Latif

Co-authored publications (17)

17 research outputs in the AIRL publication library, 2017–2026. Each title links to its publication page with abstract, DOI and citation details.

10Journal Articles 6Conference Papers 1Research Poster

Journal Articles (10)

  1. MEDCnet : A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN
    Mohsin Butt, D. N. F. Awang Iskandar, Majid Ali Khan, Ghazanfar Latif, Abul Bashar
    International Journal of Imaging Systems and Technology · Wiley · 2025
  2. Multiclass tumor identification using combined texture and statistical features
    Ghazanfar Latif, Abul Bashar, D. N. F. Awang Iskandar, Nazeeruddin Mohammad, Ghassen Ben Brahim, Jaafar Alghazo
    Medical & Biological Engineering & Computing · Springer Science+Business Media · 2022
  3. Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021
    Ghazanfar Latif, Faisal Yousif Al Anezi, D. N. F. Awang Iskandar, Abul Bashar, Jaafar Alghazo
    Current Medical Imaging Formerly Current Medical Imaging Reviews · Bentham Science Publishers · 2022
  4. Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier
    Ghazanfar Latif, Ghassen Ben Brahim, D. N. F. Awang Iskandar, Abul Bashar, Jaafar Alghazo
    Diagnostics · Multidisciplinary Digital Publishing Institute · 2022
  5. Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features
    M. Mohsin Butt, D. N. F. Awang Iskandar, Sherif E. Abdelhamid, Ghazanfar Latif, Runna Alghazo
    Diagnostics · Multidisciplinary Digital Publishing Institute · 2022
  6. Recent Advancements in Fuzzy C-means Based Techniques for Brain MRI Segmentation
    Ghazanfar Latif, Jaafar Alghazo, Fadi N. Sibai, D. N. F. Awang Iskandar, Adil H. Khan
    Current Medical Imaging Formerly Current Medical Imaging Reviews · Bentham Science Publishers · 2021
  7. Deep CNN based MR image denoising for tumor segmentation using watershed transform
    Ghazanfar Latif, D. N. F. Awang Iskandar, Jaafar Alghazo, Mohsin Butt, Adil H. Khan
    International Journal of Engineering & Technology · 2018
  8. Improving Brain MR Image Classification for Tumor Segmentation using Phase Congruency
    Ghazanfar Latif, D. N. F. Awang Iskandar, Jaafar Alghazo, Arfan Jaffar
    Current Medical Imaging Formerly Current Medical Imaging Reviews · Bentham Science Publishers · 2018
  9. Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features
    Ghazanfar Latif, D. N. F. Awang Iskandar, Jaafar M. Alghazo, Nazeeruddin Mohammad
    IEEE Access · Institute of Electrical and Electronics Engineers · 2018
  10. Multimodal Brain Tumor Segmentation using Neighboring Image Features
    Ghazanfar Latif, D. N. F. Awang Iskandar, Arfan Jaffar, M. Mohsin Butt
    Journal of Telecommunication Electronic and Computer Engineering (JTEC) · Universiti Teknikal Malaysia Melaka · 2017

Research Poster (1)

  1. Automated Brain Tumor Detection, Analysis, and Visualization System
    Ghazanfar Latif, Dayang Nurfatimah
    Innovation & Technology Exposition (InTEX18), Kuching, Malaysia · 2018

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