Publications
The full record of my publications is available from my Google Scholar.
2024
- Hashemi, S., Annabestani, M., Aghasizade, M., Kiyoumarsioskouei, A., Wong, S. C., & Mosadegh, B. (2024). Use of Yolo Detection for 3D Pose Tracking of Cardiac Catheters Using Bi-Plane Fluoroscopy. AI, 5(2), 887-897.
2023
- Aghasizade, M., Kiyoumarsioskouei, A., Hashemi, S., Torabinia, M., Caprio, A., Rashid, M., … & Mosadegh, B. (2023). A coordinate-regression-based deep learning model for catheter detection during structural heart interventions. Applied Sciences, 13(13), 7778.
- Ebrahimi, L., Veisi, H., Jafarzadehpur, E., Hashemi, S., 2023. “Multimodal Feature Extraction and Fusion for Determining RGP Lens Specification Base- Curve through Pentacam Images”, Computers in Biology and Medicine.
- Koscinski, V., Hashemi, S., & Mirakhorli, M. (2023, May). On-Demand Security Requirements Synthesis with Relational Generative Adversarial Networks. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) (pp. 1609-1621). IEEE.
2021
- Ebrahimi, L., Veisi, H., Jafarzadepour, E., & Hashemi, S. Multimodal Feature Extraction and Fusion for Determining Rgp Lens Specification Base-Curve Through Pentacam Images. Available at SSRN 4327543.
- Ebrahimi, L., Veisi, H., Hashemi, S., Jafarzadehpur, E., 2021. “The fusion of multi-view features in Pentacam four refractive maps by using neural network to determine Rigid Gas Permeable (RGP) lens properties”, 26th International Computer Conference, Computer Society of Iran.
2020
- Hashemi, S., Veisi, H., Jafarzadehpur, E., Rahmani, R., & Heshmati, Z. (2020). An image processing approach for rigid gas-permeable lens base-curve identification. Signal, Image and Video Processing, 14, 971-979.
- Hashemi, S., Veisi, H., Jafarzadehpur, E., Rahmani, R., & Heshmati, Z. (2020). Multi-view deep learning for rigid gas permeable lens base curve fitting based on Pentacam images. Medical & Biological Engineering & Computing, 58, 1467-1482.
2019
- Hashemi, S., Veisi, H., Jafarzadehpur, E., Rahmani, R., & Heshmati, Z. (2019, October). A CCA Approach for Multiview Analysis to Detect Rigid Gas Permeable Lens Base Curve. In 2019 IEEE Western New York Image and Signal Processing Workshop (WNYISPW) (pp. 1-5). IEEE.
- Hashemi, S. (2018). Machine learning based Visual Evoked Potential (VEP) Signals Recognition. Iranian Journal of Medical Physics, 15(Special Issue-12th. Iranian Congress of Medical Physics), 246-246.
2018
- Hashemi, S., Hashemi, MS., 2018, Machine learning based Visual Evoked Potential (VEP) Signals Recognition (Poster), 2018 World Congress on Medical Physics and Biomedical Engineering, Tehran, Iran
Inventions
- ”Predictive model for effective treatment using uterine fibroid embolization”, Bobak Mosadegh, Sara Hashemi, and Marc Schiffman (2022). In the process of being filed as a US Patent.