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Hassan Homayoun, PhD

  • Artificial Intelligence
  • Machine/Deep Learning
  • Biomedical Data Science

Publications List

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  1. Aliyari, S., Salehi, Z., Kavousi, K., Azodian Ghajar, H., Nikoofar, P., Omid, R., Dehghanpoor Farashah, P., Homayoun, H., Abedi Yarandi, V. “Identification of Common Hub Genes and Key Molecular Pathways between Multiple Sclerosis and Urological Disorders”. Translational Research in Urology, 2024; 6(1): 24-35. doi: 10.22034/tru.2024.434728.1171
  2. F. Zandi, H. Ebrahimpour-Komleh and H. Homayoun, "Application of Explainable Convolutional Neural Networks on the Differential Diagnosis of Covid_19 and Pneumonia using Chest Radiograph," 6th International Conference on Pattern Recognition and Image Analysis (IPRIA), Qom, Iran, Islamic Republic of, 2023, pp. 1-7, doi: 10.1109/IPRIA59240.2023.10147169.
  3. Omid, R., Dehghanpoor Farashah, P., Azodian Ghajar, H., Aliyari, S., Homayoun, H., Rahimnia, R. Identification of Common Hub Genes and Key Molecular Pathways between ADPKD and Renal Cell Carcinomas. Translational Research in Urology, 2023; 5(2): 95-101. doi: 10.22034/tru.2023.399916.1146
  4. Mohammadi, A., Mirza-Aghazadeh-Attari, M., Faeghi, F., Homayoun, H., Abolghasemi, J., Vogl, T.J., Bureau, N.J., Bakhshandeh, M., Acharya, R.U. and Abbasian Ardakani, A., Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery?. J Ultrasound Med, (2022), 41: 3079-3090. https://doi.org/10.1002/jum.16086
  5. S. J. Mousavirad, A. H. Gandomi and H. Homayoun, "A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training," 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/CEC55065.2022.9870211.
  6. Homayoun, H., Abbasian Ardakani, A., Yee Chan, W., Yusuf Kuzan, T., Wai Ling, L., Murzoglu Altintoprak, K., Mohammadi, A., Vijayananthan, A., Rahmat, K., Sam Leong, S., Mirza-Aghazadeh-Attari, M., Ejtehadifar, S., Faeghi, F., Acharya, R., “An artificial intelligence system for prediction of benign and malignant breast lesions using ultrasound radiomics signature: A multi-center study”, Biocybernetics and Biomedical Engineering, 2022, Volume 42, Issue 3, Pages 921-933.
  7. Alizadeh, F., Homayoun, H., Saligheh Rad, H., “Differential Diagnosis Among Alzheimer's Disease, Mild Cognitive Impairment, and Normal Subjects Using rs-fMRI data Extracted from Multi Subject Dictionary Learning Atlas: A Deep Learning Based Study”, Frontiers in Biomedical Technologies. 2022, 9 (4), pp. 297-306.
  8. Homayoun, H., Saligheh Rad, H., Abbasian Ardakani, A. 'The Role of Artificial Intelligence in Urology Practice', Translational Research in Urology, 2022. , 4 (1), 1-3. doi: 10.22034/tru.2022.321749.1095
  9. Homayoun H., Soleimani Neysiani B., “Medical Text and Image Processing: Applications, Methods, Issues, and Challenges”, Book Chapter in Book: Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications, Taylor&Francic, 2021.
  10. Homayoun H., Ebrahimpour-Komleh H., “Automated Segmentation of Abnormal Tissues in Medical Images”, Journal of Biomedical Physics and Engineering, 2021, Vol. 11, No. 4, pp. 415-424. Doi: 10.31661/jbpe.v0i0.958.
  11. Homayoun(Khastavaneh) H., and Ebrahimpour-Komleh, H., “MMTDNN: Multi-view Massive Training Deep Neural Network for Segmentation and Detection of Abnormal Tissues in Medical Images” Frontiers in Biomedical Technologies (2020): 7 (1), pp: 22-32.
  12. Homayoun(Khastavaneh) H., and Ebrahimpour-Komleh, H., “Multi-view representation learning for segmentation of abnormal tissues in medical images applied to multiple sclerosis lesion delineation” Springer Nature Applied Science (2019) 1: 1084. https://doi.org/10.1007/s42452-019-1151-7
  13. Homayoun(Khastavaneh) H., and Ebrahimpour-Komleh, H., (2020) Representation Learning Techniques: An Overview, In: Data Science: From Research to Application. Lecture Notes on Data Engineering and Communications Technologies, vol 45. Springer, Cham.
  14. Homayoun(Khastavaneh) H., Ebrahimpour-Komleh H., “Segmentation of Diabetic Retinopathy Lesions in Retinal Fundus Images Using Multi-View Convolutional Neural Networks”, Iranian Journal of Radiology, 2019, 16:Spessial Issue.
  15. Homayoun(Khastavaneh) H., and H. Ebrahimpour-Komleh, "On Multi-view Interpretation of Convolutional Neural Networks," 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI), Tehran, Iran, 2019, pp. 587-591. doi: 10.1109/KBEI.2019.8734980
  16. Homayoun(Khastavaneh) H., H. Ebrahimpour-Komleh and M. Joudaki, "Face image quality assessment based on photometric features and classification techniques," 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), Tehran, 2017, pp. 0289-0293. doi: 10.1109/KBEI.2017.8324988
  17. Homayoun(Khastavaneh) H., Ebrahimpour-Komleh H., “Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images”, Journal of Biomedical Physics and Engineering, 2017, Vol. 7, No. 2.
  18. Homayoun(Khastavaneh) H., Ebrahimpour-Komleh H., Hanaee-Ahwaz A., “Unknown Aware K Nearest Neighbor Classifier”, Third IEEE International Conference on Pattern Analysis and Image Analysis”, DOI: 10.1109/PRIA.2017.7983027, 2017.
  19. Homayoun(Khastavaneh) H., Ebrahimpour-Komleh H., “Brain extraction: A region based histogram analysis strategy”, First IEEE International Conference on Signal Processing and Intelligent Systems”, 2015, DOI: 10.1109/SPIS.2015.7422305.
  20. Homayoun(Khastavaneh) H., Ebrahimpour-Komleh H., “Brain extraction using isodata clustering algorithm aided by histogram analysis”, Second IEEE International Conference on Knowledge-Base Engineering and Innovation”, 2015, DOI: 10.1109/KBEI.2015.7436154.
  21. Homayoun(Khastavaneh) H., Haron H., Shamsuddin S.M., “Moving Object Segmentation in Image Sequences using Vector Quantization for Estimating The Background”, International Journal of Mechatronics, Electrical and Computer Technology, Volume 5, Issue 14, 2015, pp. 1949-1962 .
  22. Homayoun(Khastavaneh) H. and Haron H., “False Positives Reduction on Segmented Multiple Sclerosis Lesions Using Fuzzy Inference System by Incorporating Atlas Prior Anatomical Knowledge: A Conceptual Model”, 6th International Conference on Computational Collective Intelligence (ICCCI), LNAI 8733, pp. 11-19, 2014, DOI: 10.1007/978-3-319-11289-3_2.
  23. Homayoun(Khastavaneh) H. and Haron H., “A Conceptual Model for Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images using Massive Training Artificial Neural Networks”, 5th IEEE International Conference on Intelligent Systems, Modeling and Simulations ISMS, 2014, pp. 273-278, DOI: 10.1109/ISMS.2014.53.
  24. Homayoun(Khastavaneh) H. and Haron H., “Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images using Learning Kernels”, 5th International Graduate Conference on Engineering, Science and Humanities IGCESH 2014, pp. 107-109, ISSN: 1823-3287.
  25. Homayoun(Khastavaneh) H. and Shamsuddin S.M., “Moving Object Segmentation in Video Sequences Using Vector Quantization”, Proceedings of 4th International Graduate Conference on Engineering, Science and Humanities IGCESH, 2013, pp. 8-12, ISSN: 1823-3287.