Mahsa Amirrashedi

Amirrashedi, M., Ay, M. R., Sarkar, S., & Farahani, M. H. (2020). Normalization of a positron emission tomography scanner. U.S. Patent. https://patents.google.com/patent/US11172906B2/en

Amirrashedi, M., Sarkar, S., Mamizadeh, H., Ghadiri, H., Ghafarian, P., Zaidi, H., & Ay, M. R. (2021).Leveraging Deep Neural Networks to Improve Numerical and Perceptual Image Quality in, Low-dose Preclinical PET Imaging. Computerized Medical Imaging and Graphics, 102010. https://www.sciencedirect.com/science/article/pii/S0895611121001592

Amirrashedi, M., Sarkar, S., Ghadiri, H., Ghafarian, P., & Ay, M. R. (2021, February). Standard-dose PET reconstruction from low-dose preclinical images using an adopted all convolutional U-Net. In Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 11600, pp. 171-177). SPIE. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11600/116000P/Standard-dose-PET-reconstruction-from-low-dose-preclinical-images-using/10.1117/12.2581956.full?SSO=1

 Amirrashedi, M., Sarkar, S., Ghadiri, H., Ghafarian, P., Zaidi, H., & Ay, M. R. (2021, April). A deep neural network to recover missing data in small animal pet imaging: Comparison between sinogram-and image-domain implementations. In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (pp. 1365-1368). IEEE. https://ieeexplore.ieee.org/abstract/document/9433923 

Amirrashedi, M., Zaidi, H., & Ay, M. R. (2020). Towards quantitative small-animal imaging on hybrid PET/CT and PET/MRI systems. Clinical and Translational Imaging, 1-21. https://link.springer.com/article/10.1007/s40336-020-00376-y

Amirrashedi, M., Zaidi, H., & Ay, M. R. (2020). Advances in preclinical PET instrumentation. PET clinics, 15(4), 403-426. https://www.pet.theclinics.com/article/S1556-8598(20)30041-9/pdf

Amirrashedi, M., Sarkar, S., Ghafarian, P., Hashemi Shahraki, R., Geramifar, P., Zaidi, H., & Ay, M. R. (2019). NEMA NU‐4 2008 performance evaluation of Xtrim‐PET: A prototype SiPM‐based preclinical scanner. Medical physics, 46(11), 4816-4825. https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.13785

Fooladi, M., Shirazi, A., Sheikhzadeh, P., Amirrashedi, M., Ghahramani, F., Cheki, M., & Khoobi, M. (2023). Investigating the attenuating effect of telmisartan against radiation-induced intestinal injury using 18F-FDG micro-PET imaging. International Journal of Radiation Biology, 99(3), 446458. https://www.tandfonline.com/doi/full/10.1080/09553002.2022.2110295

Fooladi, M., Cheki, M., Shirazi, A., Sheikhzadeh, P., Amirrashedi, M., Ghahramani, F., Khoobi, M.(2021). Journal of Biomedical Physics and Engineering. Histopathological Evaluation of Protective Effect of Telmisartan against Radiation‐Induced Bone Marrow Injury. https://jbpe.sums.ac.ir/article_47577.html 

Amirrashedi, M., Alam, N. R., Mostaar, A., Haghgoo, S., Gorji, E., & Jaberi, R. (2015). Dose enhancement in radiotherapy by novel application of gadolinium based MRI contrast agent Nanomagnetic particles in gel dosimetry. In World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada (pp. 816-822). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-19387-8_200

Heydarnezhadi, S., Alam, N. R., Haghgoo, S., Ghanaati, H., Khoobi, M., Gorji, E., ... & Amirrashedi,M. (2016). Glycosylated gadolinium as potential metabolic contrast agent vs Gd-DTPA for metabolism of tumor tissue in magnetic resonance imaging. Applied Magnetic Resonance, 47(4),375-385. https://link.springer.com/article/10.1007%2Fs00723-015-0756-2

AFSHAR, MAA., Moloudi, K., Amirrashedi, M., Rashidi, M., Samadian ranjbar, H. (2015). A brief review on polymer and protein-based nanotheranostics. International journal of biology pharmacy and allied sciences. 2015;5(1):112128. https://ijbpas.com/pdf/2016/January/1457322546MS%20IJBPAS%202016%20JAN%20SPCL%201012.pd