Saeed Reza Kheradpisheh

Assistant Professor

Update: 2025-12-04

Saeed Reza Kheradpisheh

Mathematical Sciences / Computer Science

Journal Paper

  1. "Meta-learning in spiking neural networks with reward-modulated STDP"
    Arsham Gholamzadeh Khoee, Alireza Javaheri, Saeed Reza Kheradpisheh, Mohammad Ganjtabesh
    NEUROCOMPUTING, Vol. 600, pp.1-10, 2024
  2. "An improved imperialist competitive algorithm for solving an inverse form of the Huxley equation"
    Hassan Dana Mazraeh, Kourosh Parand, Hadi Farahani, Saeed Reza Kheradpisheh
    Iranian Journal of Numerical Analysis and Optimization, Vol. 14, pp.681-707, 2024
  3. "Automated segmentation of lesions and organs at risk on [68Ga]Ga-PSMA-11 PET/ CT images using self-supervised learning with Swin UNETR"
    Elmira Yazdani, Najme Karamzadeh-Ziarati, Seyyed Saeid Cheshmi, Mahdi Sadeghi, Parham Geramifar, Habibeh Vosoughi, Mahmood Kazemi Jahromi, Saeed Reza Kheradpisheh
    CANCER IMAGING, Vol. 24, 2024
  4. "Emotion Evoking Game Design: Evaluating Induced Emotions Among Individuals with Healthy, Problematic, and Disordered Gaming"
    Marziyeh Hamzehzadeh, David Akbarzadeh, Ali Yousefi, Saeed Reza Kheradpisheh, Amir Moghanibashi-Mansourieh, Mehdi Tehrani-Doost
    International Journal of High Risk Behaviors and Addiction, Vol. 13, pp.1-10, 2024
  5. "Spike time displacement-based error backpropagation in convolutional spiking neural networks"
    Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh, Timothée Masquelier
    NEURAL COMPUTING and APPLICATIONS, Vol. 35, pp.15891-15906, 2023
  6. "DS4NN: Direct training of deep spiking neural networks with single spike-based temporal coding"
    Maryam Mirsadeghi, Majid Shalchian, Saeed Reza Kheradpisheh
    AUT Journal of Electrical Engineering, Vol. 55, pp.179-190, 2023
  7. "BioLCNet: Reward-Modulated Locally Connected Spiking Neural Networks"
    Hafez Ghaemi, Erfan Mirzaei, Mahbod Nouri, Saeed Reza Kheradpisheh
    LECTURE NOTES IN COMPUTER SCIENCE, Vol. 13811, pp.564-578, 2023
  8. "Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder"
    Saeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, Timothée Masquelier
    Frontiers in Computational Neuroscience, Vol. 10, pp.1-11, 2016