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CHMMOTv1 -- Cardiac and Hepatic Multi-Echo (T2*) MRI Images and Clinical Dataset for Iron Overload on Thalassemia Patients

Autor: Abedi, Iraj, Zamanian, Maryam, Bolhasani, Hamidreza, Jalilian, Milad

Owing to the invasiveness and low accuracy of other tests, including biopsy and ferritin levels, magnetic resonance imaging (T2 and T2*-MRI) has been considered the standard test for patients with thalassemia (THM). Regarding deep learning networks i

Externí odkaz: http://arxiv.org/abs/2305.10216

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Attention U-net approach in predicting Intensity Modulated Radiation Therapy dose distribution in brain glioma tumor

Autor: Naeemi, Mobina, Esmaeili, Mohamad Reza, Abedi, Iraj

Today, intensity-modulated radiation therapy (IMRT) is one of the methods used to treat brain tumors. In conventional treatment planning methods, after identifying planning target volume (PTV), and organs at risk (OARs), and determining the limitatio

Externí odkaz: http://arxiv.org/abs/2305.07033

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Novel Method for More Efficient Optimizing the Knowledge-Based Planning: Specific Voxels of each Structure Influenced by Dominant Beamlets (SVSIDB)

Autor: Yousefi, Ali, Ketabi, Saeedeh, Abedi, Iraj

There is a huge problem and time-consuming computation to optimize the IMRT treatment plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is also involved in this challenge. Some algorithms and methods have been pr

Externí odkaz: http://arxiv.org/abs/2209.02490

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How to Apply 3D3 Prediction? A Novel Mathematical Model to Generate Pareto Optimal Clinical Applicable IMRT Treatment Plan On the Foundation of Dose Prediction and Prescription

Autor: Yousefi, Ali, Ketabi, Saeedeh, Abedi, Iraj

In this paper knowledge based planning has been revolutionized via a novel mathematical model which converts three dimensional dose distribution (3D3) prediction to a clinical utilizable IMRT treatment plan. Presented model has benefited from both pr

Externí odkaz: http://arxiv.org/abs/2206.05834

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HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation

Autor: Abedi, Iraj, Vali, Mahsa, Otroshi, Bentolhoda, Zamanian, Maryam, Bolhasani, Hamidreza

Introduction: During the COVID-19 pandemic, computed tomography (CT) was a popular method for diagnosing COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a form of computed tomography that uses advanced methods to improve image resolu

Externí odkaz: http://arxiv.org/abs/2205.03408

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Akademický článek

HRCTCov19-a high-resolution chest CT scan image dataset for COVID-19 diagnosis and differentiation.

Autor: Abedi, Iraj¹ (AUTHOR), Vali, Mahsa² (AUTHOR), Otroshi, Bentolhoda³ (AUTHOR), Zamanian, Maryam¹ (AUTHOR), Bolhasani, Hamidreza⁴ (AUTHOR) hamidreza.bolhasani@srbiau.ac.ir

Publikováno v: BMC Research Notes. 1/22/2024, Vol. 17 Issue 1, p1-5. 5p.

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