Journal Paper

1. "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
2. "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
3. "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
4. "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
5. "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
6. "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

Conference Paper

1. "Self-Supervised Contrastive Learning In Spiking Neural Networks"
   Yeganeh Bahari asl, Saeed Reza Kheradpisheh
   13th Iranian/3rd International Machine Vision and Image Processing Conference, 2024
2. "EEG Anomaly Detection using Generative Adversarial Networks (GANs)"
   Niloofar Sedighian bidgoli, Saeed Reza Kheradpisheh, Hadi Farahani
   20th CSI International Symposium on Artificial Intelligence and Signal Processing, 2024