Isfahan University of Medical Sciences

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Faculty Members have conducted research related to the Supervised Versus Unsupervised Gan for Pseudo-Ct Synthesis in Brain Mr-Guided Radiotherapy
Amir Khorasani
Amir Khorasani

Assistant Professor of Medical Physics

Department of Bioimaging, School of Advanced Medical Technology

Isfahan University of Medical Sciences

All Documents
1. Enhanced Glioma Semantic Segmentation Using U-Net and Pre-Trained Backbone U-Net Architectures, Scientific Reports (2025)
2. Machine Learning-Based Classification of Multiple Sclerosis Lesion Activity Using Multi-Sequence Mri Radiomics: A Complete Analysis of T1, T2, Flair, Dwi, and Swi Features, Polish Journal of Radiology (2025)
3. Supervised Versus Unsupervised Gan for Pseudo-Ct Synthesis in Brain Mr-Guided Radiotherapy, Physical and Engineering Sciences in Medicine (2025)
4. A Review of Imaging Methods and Recent Nanoparticles for Breast Cancer Diagnosis, Information (Switzerland) (2024)
5. Antibiotic Profile Classification of Proteus Mirabilis Using Machine Learning: An Investigation Into Multidimensional Radiomics Features, Computers in Biology and Medicine (2024)
6. Improvement Grading Brain Glioma Using T2 Relaxation Times and Susceptibility-Weighted Images in Mri, Informatics in Medicine Unlocked (2023)
7. Improvement Grading Brain Glioma Using T2 Relaxation Times and Susceptibility-Weighted Images in Mri, Informatics in Medicine Unlocked (2023)
8. Investigating Variation of Dose Gradient Index by Different Grid Sizes in Intensity-Modulated Radiation Therapy of Optic Nerve Sheath Meningioma, Applied Radiation and Isotopes (2023)
9. Multiparametric Study for Glioma Grading With Flair, Adc Map, Eadc Map, T1 Map, and Swi Images, Magnetic Resonance Imaging (2023)
10. Performance Comparison of Different Medical Image Fusion Algorithms for Clinical Glioma Grade Classification With Advanced Magnetic Resonance Imaging (Mri), Scientific Reports (2023)
11. Performance Comparison of Different Medical Image Fusion Algorithms for Clinical Glioma Grade Classification With Advanced Magnetic Resonance Imaging (Mri), Scientific Reports (2023)
12. Recent Metal Nanotheranostics for Cancer Diagnosis and Therapy: A Review, Diagnostics (2023)
13. Thermal Damage Map Prediction During Irreversible Electroporation With U-Net, Electromagnetic Biology and Medicine (2023)
14. Automated Irreversible Electroporated Region Prediction Using Deep Neural Network, a Preliminary Study for Treatment Planning, Electromagnetic Biology and Medicine (2022)
15. Glioma Segmentation With Dwi Weighted Images, Conventional Anatomical Images, and Post-Contrast Enhancement Magnetic Resonance Imaging Images by U-Net, Physical and Engineering Sciences in Medicine (2022)
16. Clinical Usage of Tissue Electrical Conductivity During the Electroporation: An Essential and Useful Factor, Frontiers in Biomedical Technologies (2021)
17. Finite Element Analysis of Cell Killing Probability in Electroporation With Single Bipolar Electrode, Frontiers in Biomedical Technologies (2021)
18. Preliminary Study of Multiple B-Value Diffusion-Weighted Images and T1 Post Enhancement Magnetic Resonance Imaging Images Fusion With Laplacian Re-Decomposition (Lrd) Medical Fusion Algorithm for Glioma Grading, European Journal of Radiology Open (2021)
19. Using of Laplacian Re-Decomposition Image Fusion Algorithm for Glioma Grading With Swi, Adc, and Flair Images, Polish Journal of Medical Physics and Engineering (2021)
20. A Numerical Study on the Effect of Conductivity Change in Cell Kill Distribution in Irreversible Electroporation, Polish Journal of Medical Physics and Engineering (2020)
21. New Insight Into Laboratory Tests and Imaging Modalities for Fast and Accurate Diagnosis of Covid-19: Alternative Suggestions for Routine Rt-Pcr and Ct—A Literature Review, Canadian Respiratory Journal (2020)
22. The Effect of Conductivity Changes on Temperature Rise During Irreversible Electroporation, Frontiers in Biomedical Technologies (2020)
23. A Literature Review on Multimodality Molecular Imaging Nanoprobes for Cancer Detection, Polish Journal of Medical Physics and Engineering (2019)