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Scientific Reports|August 29, 2025
Enhanced glioma semantic segmentation using U-net and pre-trained backbone U-net architecturesAmir Khorasani
Electromagnetic Biology and Medicine|August 22, 2022
Automated irreversible electroporated region prediction using deep neural network, a preliminary study for treatment planningAmir Khorasani
Journal of Imaging|October 28, 2025
Glioma Grading by Integrating Radiomic Features from Peritumoral Edema in Fused MRI Images and Automated Machine LearningAmir Khorasani
Electromagnetic Biology and Medicine|December 29, 2023
Thermal damage map prediction during irreversible electroporation with U-NetAmir Khorasani
Magnetic Resonance Imaging|December 6, 2022
Multiparametric study for glioma grading with FLAIR, ADC map, eADC map, T1 map, and SWI imagesAmir Khorasani, Mohamad Bagher Tavakoli
Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine|January 16, 2023
Investigating variation of dose gradient index by different grid sizes in intensity-modulated radiation therapy of optic nerve sheath meningiomaArman Esmailzadeh, Iraj Abedi, Amir Khorasani
Canadian Respiratory Journal|December 23, 2020
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 ReviewAmir Khorasani, Amir Chegini, Arezoo Mirzaei
Diagnostics (Basel, Switzerland)|March 11, 2023
Recent Metal Nanotheranostics for Cancer Diagnosis and Therapy: A ReviewAmir Khorasani, Daryoush Shahbazi-Gahrouei, Arash Safari
European Journal of Radiology Open|October 11, 2021
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 gradingAmir Khorasani, Mohamad Bagher Tavakoli, Masih Saboori, et al.
Physical and Engineering Sciences in Medicine|August 23, 2022
Glioma segmentation with DWI weighted images, conventional anatomical images, and post-contrast enhancement magnetic resonance imaging images by U-NetAmir Khorasani, Rahele Kafieh, Masih Saboori, et al.
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