Search Results - "Ardakani, Ali Abbasian"

COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings by Abbasian Ardakani, Ali, Acharya, U. Rajendra, Habibollahi, Sina, Mohammadi, Afshin

“…Objectives CT findings of COVID-19 look similar to other atypical and viral (non-COVID-19) pneumonia diseases. This study proposes a clinical computer-aided…”
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Interpretation of radiomics features–A pictorial review by Abbasian Ardakani, Ali, Bureau, Nathalie J, Ciaccio, Edward J., Acharya, U Rajendra

“…•Commonly used radiomics features with practical examples are illustrated.•First-order features evaluate the distribution of individual pixel/voxel in…”
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An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies by Abbasian Ardakani, Ali, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad, Acharya, U Rajendra

“…Breast cancer is one of the largest single contributors to the burden of disease worldwide. Early detection of breast cancer has been shown to be associated…”
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AdaRes: A deep learning‐based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studies by Abbasian Ardakani, Ali, Mohammadi, Afshin, Vogl, Thomas J., Kuzan, Taha Yusuf, Acharya, U Rajendra

“…Purpose The quality of ultrasound images is degraded by speckle and Gaussian noises. This study aims to develop a deep‐learning (DL)‐based filter for…”
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CAD system based on B-mode and color Doppler sonographic features may predict if a thyroid nodule is hot or cold by Abbasian Ardakani, Ali, Bitarafan-Rajabi, Ahmad, Mohammadi, Afshin, Hekmat, Sepideh, Tahmasebi, Aylin, Shiran, Mohammad Bagher, Mohammadzadeh, Ali

“…Objectives The aim of this study was to evaluate if the analysis of sonographic parameters could predict if a thyroid nodule was hot or cold. Methods Overall,…”
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Clinical and radiological characteristics of pediatric patients with COVID-19: focus on imaging findings by Mohammadi, Afshin, Mohebbi, Iraj, khademvatani, Kamal, Pirnejad, Habibollah, Mirza-Aghazadeh, Javad, Gharebaghi, Naser, Abbasian Ardakani, Ali, Mirza-Aghazadeh-Attari, Mohammad

“…Purpose CT imaging has been a detrimental tool in the diagnosis of COVID-19, but it has not been studied thoroughly in pediatric patients and its role in…”
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Assessment of Kidney Function After Allograft Transplantation by Texture Analysis by Abbasian Ardakani, Ali, Mohammadi, Afshin, Khalili Najafabad, Bahareh, Abolghasemi, Jamileh

“…Ultrasonography is the preferable imaging technique for monitoring and assessing complications in kidney allograft transplants. Computer-aided diagnostic…”
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Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks by Ardakani, Ali Abbasian, Kanafi, Alireza Rajabzadeh, Acharya, U. Rajendra, Khadem, Nazanin, Mohammadi, Afshin

“…Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage…”
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Diagnostic Ability of 384-Slice Computed Tomographic Angiography in Prediction of Myocardial Ischemia in Patients with Myocardial Bridging (MB) as Compared to SPECT-MPI Examination by Maleki, Majid, Zahedmehr, Ali, Galeshi, Bahar, Yaghoobi, Nahid, Bitarafan-Rajabi, Ahmad, Mohammadzadeh, Maryam, Abbasian Ardakani, Ali, Pourvaziri, Ali, Charkheshi, Dorna, Mousavi, Ali Kazem, Mohammadzadeh, Ali

“…Background: During the past decade, coronary computed tomographic angiography (CCTA) has become the primary non-invasive imaging technique for the assessment…”
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Interpretation of Artificial Intelligence Models in Healthcare by Abbasian Ardakani, Ali, Airom, Omid, Khorshidi, Hamid, Bureau, Nathalie J., Salvi, Massimo, Molinari, Filippo, Acharya, U. Rajendra

“…Artificial intelligence (AI) models can play a more effective role in managing patients with the explosion of digital health records available in the…”
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Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis by Ardakani, Ali Abbasian, Mohammadi, Afshin, Faeghi, Fariborz, Acharya, U. Rajendra

“…Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is challenging to characterize the lesions precisely using ultrasound…”
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A Clinical Decision Support System Using Ultrasound Textures and Radiologic Features to Distinguish Metastasis From Tumor‐Free Cervical Lymph Nodes in Patients With Papillary Thyroid Carcinoma by Abbasian Ardakani, Ali, Reiazi, Reza, Mohammadi, Afshin

“…Objectives This study investigated the potential of a clinical decision support approach for the classification of metastatic and tumor‐free cervical lymph…”
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Diagnosis of human prostate carcinoma cancer stem cells enriched from DU145 cell lines changes with microscopic texture analysis in radiation and hyperthermia treatment using run-length matrix by Abbasian Ardakani, Ali, Rajaee, Jila, Khoei, Samideh

“…Hyperthermia and radiation have the ability to induce structural and morphological changes on both macroscopic and microscopic level. Normal and damage cells…”
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Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models by Abbasian Ardakani, Ali, Mohammadi, Afshin, Mirza-Aghazadeh-Attari, Mohammad, Faeghi, Fariborz, Vogl, Thomas J, Acharya, U Rajendra

“…Deep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep…”
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Radiomics-based machine-learning method to diagnose prostate cancer using mp-MRI: a comparison between conventional and fused models by Jamshidi, Ghazaleh, Abbasian Ardakani, Ali, Ghafoori, Mahyar, Babapour Mofrad, Farshid, Saligheh Rad, Hamidreza

“…Objectives Multiparametric MRI (mp-MRI) has been significantly used for detection, localization and staging of Prostate cancer (PCa). However, all the…”
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Tumor Microenvironment, Radiology, and Artificial Intelligence: Should We Consider Tumor Periphery? by Mohammadi, Afshin, Mirza‐Aghazadeh‐Attari, Mohammad, Faeghi, Fariborz, Homayoun, Hasan, Abolghasemi, Jamileh, Vogl, Thomas J., Bureau, Nathalie J., Bakhshandeh, Mohsen, Acharya, Rajendra U., Abbasian Ardakani, Ali

“…Objectives The tumor microenvironment (TME) consists of cellular and noncellular components which enable the tumor to interact with its surroundings and plays…”
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Nonlinear optical response of cancer cells following conventional and nano-technology based treatment strategies: Results of chemo-, thermo- and radiation therapies by Ghader, Alireza, Behruzi, Masume, Majles Ara, Mohammad Hossein, Ghaznavi, Habib, Abbasian Ardakani, Ali

“…•Non-linear optical properties of cells can give rapid estimation of levels of cell damage from experimental anti-cancer treatments.•Measurement of non-linear…”
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A Hybrid Multilayer Filtering Approach for Thyroid Nodule Segmentation on Ultrasound Images by Abbasian Ardakani, Ali, Bitarafan‐Rajabi, Ahmad, Mohammadzadeh, Ali, Mohammadi, Afshin, Riazi, Reza, Abolghasemi, Jamileh, Homayoun Jafari, Amir, Bagher Shiran, Mohammad

“…Objectives Speckle noise is the main factor that degrades ultrasound image contrast and segmentation failure. Determining an effective filter can reduce…”
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Artificial intelligence, BI-RADS evaluation and morphometry: A novel combination to diagnose breast cancer using ultrasonography, results from multi-center cohorts by Hamyoon, Hessam, Yee Chan, Wai, Mohammadi, Afshin, Yusuf Kuzan, Taha, Mirza-Aghazadeh-Attari, Mohammad, Leong, Wai Ling, Murzoglu Altintoprak, Kübra, Vijayananthan, Anushya, Rahmat, Kartini, Ab Mumin, Nazimah, Sam Leong, Sook, Ejtehadifar, Sajjad, Faeghi, Fariborz, Abolghasemi, Jamileh, Ciaccio, Edward J., Rajendra Acharya, U., Abbasian Ardakani, Ali

“…•ACR BI-RADS is a widely accepted lexicon and reporting scheme used for breast lesions to communicate the degree to which a lesion may be of malignant…”
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Z-scan method to measure the nonlinear optical behavior of cells for evaluating the cytotoxic effects of chemotherapy and hyperthermia treatments by Minaei, Soraya Emamgholizadeh, Ghader, Alireza, Ardakani, Ali Abbasian, Khoei, Samideh, Asgari, Hamid, Ara, Mohammad Hosein Majles

“…The effects of new treatments must be investigated in vitro before using clinically or in vivo. The aim of this study was to introduce the Z-scan technique as…”
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