Pooya Iranpour

@sums.ac.ir

Radiology Department
Shiraz University of Medical Sciences

58

Scopus Publications

2449

Scholar Citations

19

Scholar h-index

34

Scholar i10-index

Scopus Publications

  • PEGylated Pemetrexed and PolyNIPAM Decorated Gold Nanoparticles: A Biocompatible and Highly Stable CT Contrast Agent for Cancer Imaging
    Mohammad Mohajeri, Peyman Salehi, Bahareh Heidari, Hasan Rafati, S. Mohsen Asghari, Hossein Behboudi, Pooya Iranpour
    ACS Applied Bio Materials, 2024
    This study describes a multifunctional nanoparticle platform for targeted CT imaging and therapy of cancers. Pemetrexed (conjugated with polyethylene glycol, MW 2000 Da) and polyNIPAM (PEGylated) were designed for targeted delivery to folate receptors and thermally ablated tumors, respectively. These moieties were coated on gold nanoparticles (7 and 30 nm), and the prepared compounds were characterized using 1H NMR, FT-IR, CHNS, DLS, TEM, TGA, and UV-vis. The resulting agents exhibited 2-4 times higher X-ray attenuation compared to Visipaque and demonstrated specific accumulation in tumor tissue (4T1 xenograft model) 90 min after injection in mice. The nanoparticles displayed anticancer activity against 4T1 and MDA-MB-231 breast cancer cells (IC50: 182.87 and 206.18 μg/mL) and good biocompatibility. Importantly, the platform showed excellent stability over a year and at pH 2-12 and temperature range of -78 to 40 °C, and a water-dichloromethane extraction method was optimized for efficient purification, facilitating large-scale production.
  • Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset
    Isaac Shiri, Yazdan Salimi, Nasim Sirjani, Behrooz Razeghi, Sara Bagherieh, Masoumeh Pakbin, Zahra Mansouri, Ghasem Hajianfar, Atlas Haddadi Avval, Dariush Askari, Mohammadreza Ghasemian, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Salar Bijari, Sahar Sayfollahi, Mohammad Reza Atashzar, Mohammad Hasanian, Alireza Shahhamzeh, Arash Teimouri, Neda Goharpey, Hesamaddin Shirzad‐Aski, Jalal Karimi, Amir Reza Radmard, Kiara Rezaei‐Kalantari, Mostafa Ghelich Oghli, Mehrdad Oveisi, Alireza Vafaei Sadr, Slava Voloshynovskiy, Habib Zaidi
    Medical Physics, 2024
    BackgroundNotwithstanding the encouraging results of previous studies reporting on the efficiency of deep learning (DL) in COVID‐19 prognostication, clinical adoption of the developed methodology still needs to be improved. To overcome this limitation, we set out to predict the prognosis of a large multi‐institutional cohort of patients with COVID‐19 using a DL‐based model.PurposeThis study aimed to evaluate the performance of deep privacy‐preserving federated learning (DPFL) in predicting COVID‐19 outcomes using chest CT images.MethodsAfter applying inclusion and exclusion criteria, 3055 patients from 19 centers, including 1599 alive and 1456 deceased, were enrolled in this study. Data from all centers were split (randomly with stratification respective to each center and class) into a training/validation set (70%/10%) and a hold‐out test set (20%). For the DL model, feature extraction was performed on 2D slices, and averaging was performed at the final layer to construct a 3D model for each scan. The DensNet model was used for feature extraction. The model was developed using centralized and FL approaches. For FL, we employed DPFL approaches. Membership inference attack was also evaluated in the FL strategy. For model evaluation, different metrics were reported in the hold‐out test sets. In addition, models trained in two scenarios, centralized and FL, were compared using the DeLong test for statistical differences.ResultsThe centralized model achieved an accuracy of 0.76, while the DPFL model had an accuracy of 0.75. Both the centralized and DPFL models achieved a specificity of 0.77. The centralized model achieved a sensitivity of 0.74, while the DPFL model had a sensitivity of 0.73. A mean AUC of 0.82 and 0.81 with 95% confidence intervals of (95% CI: 0.79–0.85) and (95% CI: 0.77–0.84) were achieved by the centralized model and the DPFL model, respectively. The DeLong test did not prove statistically significant differences between the two models (p‐value = 0.98). The AUC values for the inference attacks fluctuate between 0.49 and 0.51, with an average of 0.50 ± 0.003 and 95% CI for the mean AUC of 0.500 to 0.501.ConclusionThe performance of the proposed model was comparable to centralized models while operating on large and heterogeneous multi‐institutional datasets. In addition, the model was resistant to inference attacks, ensuring the privacy of shared data during the training process.
  • Acro metastasis: A rare presentation in a common cancer
    Ali Ghanei-Shahmirzadi, Nasrin Namdari, Maral Mokhtari, Pooya Iranpour
    Current Problems in Cancer Case Reports, 2024
    Case presentation: In this study, we presented an Iranian female with triple-negative breast cancer that developed acro-metastasis to the hand However, bone metastasis is the most common kind of neoplasm extension that we can witness in the breast cancer, acro-metastasis to the hand is an extremely rare kind of bone metastasis that we can expect.
  • A versatile theranostic magnetic polydopamine iron oxide NIR laser-responsive nanosystem containing doxorubicin for chemo-photothermal therapy of melanoma
    Mahvash Dehghankhold, Fatemeh Ahmadi, Navid Nezafat, Mehdi Abedi, Pooya Iranpour, Amirreza Dehghanian, Omid Koohi-Hosseinabadi, Amin Reza Akbarizadeh, Zahra Sobhani
    Biomaterials Advances, 2024
  • Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study
    Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammad Reza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad‐Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei‐Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi
    International Journal of Imaging Systems and Technology, 2024
    To derive and validate an effective machine learning and radiomics‐based model to differentiate COVID‐19 pneumonia from other lung diseases using a large multi‐centric dataset. In this retrospective study, we collected 19 private and five public datasets of chest CT images, accumulating to 26 307 images (15 148 COVID‐19; 9657 other lung diseases including non‐COVID‐19 pneumonia, lung cancer, pulmonary embolism; 1502 normal cases). We tested 96 machine learning‐based models by cross‐combining four feature selectors (FSs) and eight dimensionality reduction techniques with eight classifiers. We trained and evaluated our models using three different strategies: #1, the whole dataset (15 148 COVID‐19 and 11 159 other); #2, a new dataset after excluding healthy individuals and COVID‐19 patients who did not have RT‐PCR results (12 419 COVID‐19 and 8278 other); and #3 only non‐COVID‐19 pneumonia patients and a random sample of COVID‐19 patients (3000 COVID‐19 and 2582 others) to provide balanced classes. The best models were chosen by one‐standard‐deviation rule in 10‐fold cross‐validation and evaluated on the hold out test sets for reporting. In strategy#1, Relief FS combined with random forest (RF) classifier resulted in the highest performance (accuracy = 0.96, AUC = 0.99, sensitivity = 0.98, specificity = 0.94, PPV = 0.96, and NPV = 0.96). In strategy#2, Recursive Feature Elimination (RFE) FS and RF classifier combination resulted in the highest performance (accuracy = 0.97, AUC = 0.99, sensitivity = 0.98, specificity = 0.95, PPV = 0.96, NPV = 0.98). Finally, in strategy #3, the ANOVA FS and RF classifier combination resulted in the highest performance (accuracy = 0.94, AUC =0.98, sensitivity = 0.96, specificity = 0.93, PPV = 0.93, NPV = 0.96). Lung radiomic features combined with machine learning algorithms can enable the effective diagnosis of COVID‐19 pneumonia in CT images without the use of additional tests.
  • Glucosamine-Modified Mesoporous Silica-Coated Magnetic Nanoparticles: A “Raisin-Cake”-like Structure as an Efficient Theranostic Platform for Targeted Methotrexate Delivery
    Fatemeh Farjadian, Zahra Faghih, Maryam Fakhimi, Pooya Iranpour, Soliman Mohammadi-Samani, Mohammad Doroudian
    Pharmaceutics, 2023
    This study presents the synthesis of glucosamine-modified mesoporous silica-coated magnetic nanoparticles (MNPs) as a therapeutic platform for the delivery of an anticancer drug, methotrexate (MTX). The MNPs were coated with mesoporous silica in a templated sol–gel process to form MNP@MSN, and then chloropropyl groups were added to the structure in a post-modification reaction. Glucosamine was then reacted with the chloro-modified structure, and methotrexate was conjugated to the hydroxyl group of the glucose. The prepared structure was characterized using techniques such as Fourier transform infrared (FT-IR) spectroscopy, elemental analysis (CHN), field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), dynamic light scattering (DLS), a vibrating sample magnetometer (VSM), and X-ray diffraction (XRD). Good formation of nano-sized MNPs and MNP@MSN was observed via particle size monitoring. The modified glucosamine structure showed a controlled release profile of methotrexate in simulated tumor fluid. In vitro evaluation using the 4T1 breast cancer cell line showed the cytotoxicity, apoptosis, and cell cycle effects of methotrexate. The MTT assay showed comparable toxicity between MTX-loaded nanoparticles and free MTX. The structure could act as a glucose transporter-targeting agent and showed increased uptake in cancer cells. An in vivo breast cancer model was established in BALB/C mice, and the distribution of MTX-conjugated MNP@MSN particles was visualized using MRI. The MTX-conjugated particles showed significant anti-tumor potential together with MRI contrast enhancement.
  • Ethical challenges of artificial intelligence in the field of radiology: a letter to editor
    Tehran University Medical Journal, 2023
  • Hydatid Disease: A Pictorial Review of Uncommon Locations
    Nastaran Khalili, P. Iranpour, Neda Khalili, S. Haseli
    Iranian Journal of Medical Sciences, 2023
    Hydatid disease is a zoonotic infection caused primarily by the tapeworm parasite, Echinococcus granulosus. It is considered an endemic disease in the Mediterranean region. In about 90% of cases, hydatid cysts are found in the liver and lungs; however, any other organ in the body may be affected, particularly in endemic areas. When encountering cystic lesions in these areas, the physician should always keep hydatid disease as a possible diagnosis in mind. To avoid life-threatening conditions such as anaphylactic shock or pressure effect on vital organs, timely diagnosis, and proper management are critical. When a rare site is involved, hydatid disease should be diagnosed using a combination of serologic assays and imaging modalities such as ultrasonography, computed tomography (CT), and magnetic resonance imaging (MRI). These imaging modalities can also be used to determine the extent of the disease and assess possible complications. Here, we present a pictorial review of typical imaging manifestations of hydatid cysts in unusual sites. Being aware of these imaging features will assist physicians in making an accurate, timely diagnosis and subsequently, providing optimal management.
  • Theranostic Hyaluronan Coated EDTA Modified Magnetic Mesoporous Silica Nanoparticles for Targeted Delivery of Cisplatin
    Khatereh Zarkesh, Reza Heidari, Pooya Iranpour, Negar Azarpira, Fatemeh Ahmadi, Soliman Mohammadi-Samani, Fatemeh Farjadian
    Journal of Drug Delivery Science and Technology, 2022
  • A case of aqueductal obstruction by web with no sign except a headache
    Fariba Zarei, Banafsheh Zeinali-Rafsanjani, Pooya Iranpour, Sepideh Sefidbakht
    Radiology Case Reports, 2022
    Aqueductal stenosis can be a silent disease that can present in a patient for years without any signs and symptoms. This silence can occur due to CSF flow dynamics compensation, and it can continue until the increase in CSF production so that the symptoms may appear during adolescence or even later. In this study, we report an aqueduct obstruction by web, who had no symptoms except a headache and was referred for MRI in his early thirty. The patient was referred to find the cause of his episodes of headaches. If he did not follow up on his headache, he might never know about his disorder.
  • Incidental diagnosis of a rare endobronchial schwannoma in a 7-year-old girl: A case report
    Mehdi Ghaderian Jahromi, Abdolrahim Sadeghi Yakhdani, Mahdi Saeedi-Moghadam, Pooya Iranpour
    Radiology Case Reports, 2022
  • Response to “Do not miss Bickerstaff encephalitis as a complication of SARS-CoV-2 vaccines”
    Fatemeh Yarmahmoodi, Pooya Iranpoor
    Radiology Case Reports, 2022
  • Currarino syndrome as an incidental radiologic finding in a patient with acute flank pain: A case report
    Mehdi Ghaderian Jahromi, Sara Haseli, Pooya Iranpour, Amir Mohammad Nourizadeh
    Radiology Case Reports, 2022
  • The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
    Khanh Bao Tran, Justin J Lang, Kelly Compton, Rixing Xu, Alistair R Acheson, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, Louise Penberthy, Amirali Aali, Qamar Abbas, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Ahmed Abdelwahab Abdelwahab, Gholamreza Abdoli, Hanan Abdulkadir Abdulkadir, Aidin Abedi, Kedir Hussein Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Abdorrahim Absalan, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Daniel Addison, Isaac Yeboah Addo, Oyelola A Adegboye, Miracle Ayomikun Adesina, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Sumia Afrin, Muhammad Sohail Afzal, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Wajeeha Aiman, Marjan Ajami, Gizachew Taddesse Akalu, Mostafa Akbarzadeh-Khiavi, Addis Aklilu, Maxwell Akonde, Chisom Joyqueenet Akunna, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Turki M Alanzi, Saleh Ali Alessy, Abdelazeem M Algammal, Mohammed Khaled Al-Hanawi, Robert Kaba Alhassan, Beriwan Abdulqadir Ali, Liaqat Ali, Syed Shujait Ali, Yousef Alimohamadi, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sadeq Ali Ali Al-Maweri, Sami Almustanyir, Nivaldo Alonso, Shehabaldin Alqalyoobi, Rajaa M Al-Raddadi, Rami H Hani Al-Rifai, Salman Khalifah Al-Sabah, Ala'a B Al-Tammemi, Haya Altawalah, Nelson Alvis-Guzman, Firehiwot Amare, Edward Kwabena Ameyaw, Javad Javad Aminian Dehkordi, Mohammad Hosein Amirzade-Iranaq, Hubert Amu, Ganiyu Adeniyi Amusa, Robert Ancuceanu, Jason A Anderson, Yaregal Animut Animut, Amir Anoushiravani, Ali Arash Anoushirvani, Alireza Ansari-Moghaddam, Mustafa Geleto Ansha, Benny Antony, Maxwell Hubert Antwi, Sumadi Lukman Anwar, Razique Anwer, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Olatunde Aremu, Ayele Mamo Argaw, Hany Ariffin, Timur Aripov, Muhammad Arshad, Al Artaman, Judie Arulappan, Raphael Taiwo Aruleba, Armin Aryannejad, Malke Asaad, Mulusew A Asemahagn, Zatollah Asemi, Mohammad Asghari-Jafarabadi, Tahira Ashraf, Reza Assadi, Mohammad Athar, Seyyed Shamsadin Athari, Maha Moh'd Wahbi Atout, Sameh Attia, Avinash Aujayeb, Marcel Ausloos, Leticia Avila-Burgos, Atalel Fentahun Awedew, Mamaru Ayenew Awoke, Tewachew Awoke, Beatriz Paulina Ayala Quintanilla, Tegegn Mulatu Ayana, Solomon Shitu Ayen, Davood Azadi, Sina Azadnajafabad, Saber Azami-Aghdash, Melkalem Mamuye Azanaw, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Hosein Azizi, Ahmed Y Y Azzam, Amirhesam Babajani, Muhammad Badar, Ashish D Badiye, Nayereh Baghcheghi, Nader Bagheri, Sara Bagherieh, Saeed Bahadory, Atif Amin Baig, Jennifer L Baker, Ahad Bakhtiari, Ravleen Kaur Bakshi, Maciej Banach, Indrajit Banerjee, Mainak Bardhan, Francesco Barone-Adesi, Fabio Barra, Amadou Barrow, Nasir Z Bashir, Azadeh Bashiri, Saurav Basu, Abdul-Monim Mohammad Batiha, Aeysha Begum, Alehegn Bekele Bekele, Alemayehu Sayih Belay, Melaku Ashagrie Belete, Uzma Iqbal Belgaumi, Arielle Wilder Bell, Luis Belo, Habib Benzian, Alemshet Yirga Berhie, Amiel Nazer C Bermudez, Eduardo Bernabe, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Bharti Bhandari Bhandari, Nikha Bhardwaj, Pankaj Bhardwaj, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Soumitra S Bhuyan, Sadia Bibi, Awraris Hailu Bilchut, Bagas Suryo Bintoro, Antonio Biondi, Mesfin Geremaw Birega Birega, Habitu Eshetu Birhan, Tone Bjørge, Oleg Blyuss, Belay Boda Abule Bodicha, Srinivasa Rao Bolla, Archith Boloor, Cristina Bosetti, Dejana Braithwaite, Michael Brauer, Hermann Brenner, Andrey Nikolaevich Briko, Nikolay Ivanovich Briko, Christina Maree Buchanan, Norma B Bulamu, Maria Teresa Bustamante-Teixeira, Muhammad Hammad Butt, Nadeem Shafique Butt, Zahid A Butt, Florentino Luciano Caetano dos Santos, Luis Alberto Cámera, Chao Cao, Yin Cao, Giulia Carreras, Márcia Carvalho, Francieli Cembranel, Ester Cerin, Promit Ananyo Chakraborty, Periklis Charalampous, Vijay Kumar Chattu, Odgerel Chimed-Ochir, Jesus Lorenzo Chirinos-Caceres, Daniel Youngwhan Cho, William C S Cho, Devasahayam J Christopher, Dinh-Toi Chu, Isaac Sunday Chukwu, Aaron J Cohen, Joao Conde, Sandra Cortés, Vera Marisa Costa, Natália Cruz-Martins, Garland T Culbreth, Omid Dadras, Fentaw Teshome Dagnaw, Saad M A Dahlawi, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Parnaz Daneshpajouhnejad, Anna Danielewicz, An Thi Minh Dao, Reza Darvishi Cheshmeh Soltani, Aso Mohammad Darwesh, Saswati Das, Dragos Virgil Davitoiu, Elham Davtalab Esmaeili, Fernando Pio De la Hoz, Sisay Abebe Debela, Azizallah Dehghan, Biniyam Demisse, Fitsum Wolde Demisse, Edgar Denova-Gutiérrez, Afshin Derakhshani, Meseret Derbew Molla, Diriba Dereje, Kalkidan Solomon Deribe, Rupak Desai, Markos Desalegn Desalegn, Fikadu Nugusu Dessalegn, Samuel Abebe A Dessalegni, Gashaw Dessie, Abebaw Alemayehu Desta, Syed Masudur Rahman Dewan, Samath Dhamminda Dharmaratne, Meghnath Dhimal, Mostafa Dianatinasab, Nancy Diao, Daniel Diaz, Lankamo Ena Digesa, Shilpi Gupta Dixit, Saeid Doaei, Linh Phuong Doan, Paul Narh Doku, Deepa Dongarwar, Wendel Mombaque dos Santos, Tim Robert Driscoll, Haneil Larson Dsouza, Oyewole Christopher Durojaiye, Sareh Edalati, Fatemeh Eghbalian, Elham Ehsani-Chimeh, Ebrahim Eini, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Donatus U Ekwueme, Maha El Tantawi, Mostafa Ahmed Elbahnasawy, Iffat Elbarazi, Hesham Elghazaly, Muhammed Elhadi, Waseem El-Huneidi, Mohammad Hassan Emamian, Luchuo Engelbert Bain, Daniel Berhanie Enyew, Ryenchindorj Erkhembayar, Tegegne Eshetu, Babak Eshrati, Sharareh Eskandarieh, Juan Espinosa-Montero, Farshid Etaee, Azin Etemadimanesh, Tahir Eyayu, Ifeanyi Jude Ezeonwumelu, Sayeh Ezzikouri, Adeniyi Francis Fagbamigbe, Saman Fahimi, Ildar Ravisovich Fakhradiyev, Emerito Jose A Faraon, Jawad Fares, Abbas Farmany, Umar Farooque, Hossein Farrokhpour, Abidemi Omolara Fasanmi, Ali Fatehizadeh, Wafa Fatima, Hamed Fattahi, Ginenus Fekadu, Berhanu Elfu Feleke, Allegra Allegra Ferrari, Simone Ferrero, Lorenzo Ferro Desideri, Irina Filip, Florian Fischer, Roham Foroumadi, Masoud Foroutan, Takeshi Fukumoto, Peter Andras Gaal, Mohamed M Gad, Muktar A Gadanya, Abduzhappar Gaipov, Nasrin Galehdar, Silvano Gallus, Tushar Garg, Mariana Gaspar Fonseca, Yosef Haile Gebremariam, Teferi Gebru Gebremeskel, Mathewos Alemu Gebremichael, Yohannes Fikadu Geda, Yibeltal Yismaw Gela, Belete Negese Belete Gemeda, Melaku Getachew, Motuma Erena Getachew, Kazem Ghaffari, Mansour Ghafourifard, Seyyed-Hadi Ghamari, Mohammad Ghasemi Nour, Fariba Ghassemi, Ajnish Ghimire, Nermin Ghith, Maryam Gholamalizadeh, Jamshid Gholizadeh Navashenaq, Sherief Ghozy, Syed Amir Gilani, Paramjit Singh Gill, Themba G Ginindza, Abraham Tamirat T Gizaw, James C Glasbey, Justyna Godos, Amit Goel, Mahaveer Golechha, Pouya Goleij, Davide Golinelli, Mohamad Golitaleb, Giuseppe Gorini, Bárbara Niegia Garcia Goulart, Giuseppe Grosso, Habtamu Alganeh Guadie, Mohammed Ibrahim Mohialdeen Gubari, Temesgen Worku Gudayu, Maximiliano Ribeiro Guerra, Damitha Asanga Gunawardane, Bhawna Gupta, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Mekdes Kondale Gurara, Alemu Guta, Parham Habibzadeh, Atlas Haddadi Avval, Nima Hafezi-Nejad, Adel Hajj Ali, Arvin Haj-Mirzaian, Esam S Halboub, Aram Halimi, Rabih Halwani, Randah R Hamadeh, Sajid Hameed, Samer Hamidi, Asif Hanif, Sanam Hariri, Netanja I Harlianto, Josep Maria Haro, Risky Kusuma Hartono, Ahmed I Hasaballah, S M Mahmudul Hasan, Hamidreza Hasani, Seyedeh Melika Hashemi, Abbas M Hassan, Soheil Hassanipour, Khezar Hayat, Golnaz Heidari, Mohammad Heidari, Zahra Heidarymeybodi, Brenda Yuliana Herrera-Serna, Claudiu Herteliu, Kamal Hezam, Yuta Hiraike, Mbuzeleni Mbuzeleni Hlongwa, Ramesh Holla, Marianne Holm, Nobuyuki Horita, Mohammad Hoseini, Md Mahbub Hossain, Mohammad Bellal Hossain Hossain, Mohammad-Salar Hosseini, Ali Hosseinzadeh, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Mowafa Househ, Junjie Huang, Fernando N Hugo, Ayesha Humayun, Salman Hussain, Nawfal R Hussein, Bing-Fang Hwang, Segun Emmanuel Ibitoye, Pulwasha Maria Iftikhar, Kevin S Ikuta, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Mustapha Immurana, Kaire Innos, Pooya Iranpour, Lalu Muhammad Irham, Md Shariful Islam, Rakibul M Islam, Farhad Islami, Nahlah Elkudssiah Ismail, Gaetano Isola, Masao Iwagami, Linda Merin J, Abhishek Jaiswal, Mihajlo Jakovljevic, Mahsa Jalili, Shahram Jalilian, Elham Jamshidi, Sung-In Jang, Chinmay T Jani, Tahereh Javaheri, Umesh Umesh Jayarajah, Shubha Jayaram, Seyed Behzad Jazayeri, Rime Jebai, Bedru Jemal, Wonjeong Jeong, Ravi Prakash Jha, Har Ashish Jindal, Yetunde O John-Akinola, Jost B Jonas, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Mikk Jürisson, Ali Kabir, Salah Eddine Oussama Kacimi, Vidya Kadashetti, Farima Kahe, Pradnya Vishal Kakodkar, Laleh R Kalankesh, Leila R Kalankesh, Rohollah Kalhor, Vineet Kumar Kamal, Farin Kamangar, Ashwin Kamath, Tanuj Kanchan, Eswar Kandaswamy, Himal Kandel, HyeJung Kang, Girum Gebremeskel Kanno, Neeti Kapoor, Sitanshu Sekhar Kar, Shama D Karanth, Ibraheem M Karaye, André Karch, Amirali Karimi, Bekalu Getnet Kassa, Patrick DMC Katoto, Joonas H Kauppila, Harkiran Kaur, Abinet Gebremickael Kebede, Leila Keikavoosi-Arani, Gemechu Gemechu Kejela, Phillip M Kemp Bohan, Maryam Keramati, Mohammad Keykhaei, Himanshu Khajuria, Abbas Khan, Abdul Aziz Khan Khan, Ejaz Ahmad Khan, Gulfaraz Khan, Md Nuruzzaman Khan, Moien AB Khan, Javad Khanali, Khaled Khatab, Moawiah Mohammad Khatatbeh, Mahalaqua Nazli Khatib, Maryam Khayamzadeh, Hamid Reza Khayat Kashani, Mohammad Amin Khazeei Tabari, Mehdi Khezeli, Mahmoud Khodadost, Min Seo Kim, Yun Jin Kim, Adnan Kisa, Sezer Kisa, Miloslav Klugar, Jitka Klugarová, Ali-Asghar Kolahi, Pavel Kolkhir, Farzad Kompani, Parvaiz A Koul, Sindhura Lakshmi Koulmane Laxminarayana, Ai Koyanagi, Kewal Krishan, Yuvaraj Krishnamoorthy, Burcu Kucuk Bicer, Nuworza Kugbey, Mukhtar Kulimbet, Akshay Kumar, G Anil Kumar, Narinder Kumar, Om P Kurmi, Ambily Kuttikkattu, Carlo La Vecchia, Arista Lahiri, Dharmesh Kumar Lal, Judit Lám, Qing Lan, Iván Landires, Bagher Larijani, Savita Lasrado, Jerrald Lau, Paolo Lauriola, Caterina Ledda, Sang-woong Lee, Shaun Wen Huey Lee, Wei-Chen Lee, Yeong Yeh Lee, Yo Han Lee, Samson Mideksa Legesse, James Leigh, Elvynna Leong, Ming-Chieh Li, Stephen S Lim, Gang Liu, Jue Liu, Chun-Han Lo, Ayush Lohiya, Platon D Lopukhov, László Lorenzovici, Mojgan Lotfi, Joana A Loureiro, Raimundas Lunevicius, Farzan Madadizadeh, Ahmad R Mafi, Sameh Magdeldin, Soleiman Mahjoub, Ata Mahmoodpoor, Morteza Mahmoudi, Marzieh Mahmoudimanesh, Rashidul Alam Mahumud, Azeem Majeed, Jamal Majidpoor, Alaa Makki, Konstantinos Christos Makris, Elaheh Malakan Rad, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Tauqeer Hussain Mallhi, Sneha Deepak Mallya, Mohammed A Mamun, Ana Laura Manda, Fariborz Mansour-Ghanaei, Borhan Mansouri, Mohammad Ali Mansournia, Lorenzo Giovanni Mantovani, Santi Martini, Miquel Martorell, Sahar Masoudi, Seyedeh Zahra Masoumi, Clara N Matei, Elezebeth Mathews, Manu Raj Mathur, Vasundhara Mathur, Martin McKee, Jitendra Kumar Meena, Khalid Mehmood, Entezar Mehrabi Nasab, Ravi Mehrotra, Addisu Melese, Walter Mendoza, Ritesh G Menezes, SIsay Derso Mengesha, Laverne G Mensah, Alexios-Fotios A Mentis, Andry Yasmid Mera Mera-Mamián, Tuomo J Meretoja, Mehari Woldemariam Merid, Amanual Getnet Mersha, Belsity Temesgen Meselu, Mahboobeh Meshkat, Tomislav Mestrovic, Junmei Miao Jonasson, Tomasz Miazgowski, Irmina Maria Michalek, Gelana Fekadu Worku Mijena, Ted R Miller, Shabir Ahmad Mir, Seyed Kazem Mirinezhad, Seyyedmohammadsadeq Mirmoeeni, Mohammad Mirza-Aghazadeh-Attari, Hamed Mirzaei, Hamid Reza Mirzaei, Abay Sisay Misganaw, Sanjeev Misra, Karzan Abdulmuhsin Mohammad, Esmaeil Mohammadi, Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Alex Molassiotis, Mariam Molokhia, Kaveh Momenzadeh, Sara Momtazmanesh, Lorenzo Monasta, Ute Mons, Ahmed Al Montasir, Fateme Montazeri, Arnulfo Montero, Mohammad Amin Moosavi, Abdolvahab Moradi, Yousef Moradi, Mostafa Moradi Sarabi, Paula Moraga, Lidia Morawska, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Ebrahim Mostafavi, Seyyed Meysam Mousavi, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Francesk Mulita, Daniel Munblit, Sandra B Munro, Efrén Murillo-Zamora, Jonah Musa, Ashraf F Nabhan, Ahamarshan Jayaraman Nagarajan, Shankar Prasad Nagaraju, Gabriele Nagel, Mohammadreza Naghipour, Mukhammad David Naimzada, Tapas Sadasivan Nair, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Hasan Nassereldine, Zuhair S Natto, Biswa Prakash Nayak, Rawlance Ndejjo, Sabina Onyinye Nduaguba, Wogene Wogene Negash, Seyed Aria Nejadghaderi, Kazem Nejati, Sandhya Neupane Kandel, Huy Van Nguyen Nguyen, Robina Khan Niazi, Nurulamin M Noor, Maryam Noori, Nafise Noroozi, Hasti Nouraei, Ali Nowroozi, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Ogochukwu Janet Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Onome Bright Oghenetega, Ropo Ebenezer Ogunsakin, Ayodipupo Sikiru Oguntade, In-Hwan Oh, Hassan Okati-Aliabad, Akinkunmi Paul Okekunle, Andrew T Olagunju, Tinuke O Olagunju, Babayemi Oluwaseun Olakunde, Isaac Iyinoluwa Olufadewa, Emad Omer, Abidemi E Emmanuel Omonisi, Sokking Ong, Obinna E Onwujekwe, Hans Orru, Stanislav S Otstavnov, Abderrahim Oulhaj, Bilcha Oumer, Oluwatomi Funbi Owopetu, Babatunji Emmanuel Oyinloye, Mahesh P A, Alicia Padron-Monedero, Jagadish Rao Padubidri, Babak Pakbin, Keyvan Pakshir, Reza Pakzad, Tamás Palicz, Adrian Pana, Anamika Pandey, Ashok Pandey, Suman Pant, Shahina Pardhan, Eun-Cheol Park, Eun-Kee Park, Seoyeon Park, Jay Patel, Siddhartha Pati, Rajan Paudel, Uttam Paudel, Mihaela Paun, Hamidreza Pazoki Toroudi, Minjin Peng, Jeevan Pereira, Renato B Pereira, Simone Perna, Navaraj Perumalsamy, Richard G Pestell, Raffaele Pezzani, Cristiano Piccinelli, Julian David Pillay, Zahra Zahid Piracha, Tobias Pischon, Maarten J Postma, Ashkan Pourabhari Langroudi, Akram Pourshams, Naeimeh Pourtaheri, Akila Prashant, Mirza Muhammad Fahd Qadir, Zahiruddin Quazi Syed, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Raghu Anekal Radhakrishnan, Venkatraman Radhakrishnan, Mojtaba Raeisi, Ata Rafiee, Alireza Rafiei, Nasiru Raheem, Fakher Rahim, Md Obaidur Rahman, Mosiur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Shayan Rahmani, Vahid Rahmanian, Nazanin Rajai, Aashish Rajesh, Pradhum Ram, Kiana Ramezanzadeh, Juwel Rana, Kamal Ranabhat, Priyanga Ranasinghe, Chythra R Rao, Sowmya J Rao, Sina Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Zubair Ahmed Ratan, David Laith Rawaf, Salman Rawaf, Lal Rawal, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Ashfaq Ur Rehman, Inayat ur Rehman, Marissa B Reitsma, Andre M N Renzaho, Maryam Rezaei, Nazila Rezaei, Negar Rezaei, Nima Rezaei, Saeid Rezaei, Mohsen Rezaeian, Aziz Rezapour, Abanoub Riad, Reza Rikhtegar, Maria Rios-Blancas, Thomas J Roberts, Peter Rohloff, Esperanza Romero-Rodríguez, Gholamreza Roshandel, Godfrey M Rwegerera, Manjula S, Maha Mohamed Saber-Ayad, Bahar Saberzadeh-Ardestani, Siamak Sabour, Basema Saddik, Erfan Sadeghi, Mohammad Reza Saeb, Umar Saeed, Mohsen Safaei, Azam Safary, Maryam Sahebazzamani, Amirhossein Sahebkar, Harihar Sahoo, Mirza Rizwan Sajid, Hedayat Salari, Sana Salehi, Marwa Rashad Salem, Hamideh Salimzadeh, Yoseph Leonardo Samodra, Abdallah M Samy, Juan Sanabria, Senthilkumar Sankararaman, Francesco Sanmarchi, Milena M Santric-Milicevic, Muhammad Arif Nadeem Saqib, Arash Sarveazad, Fatemeh Sarvi, Brijesh Sathian, Maheswar Satpathy, Nicolas Sayegh, Ione Jayce Ceola Schneider, Michaël Schwarzinger, Mario Šekerija, Subramanian Senthilkumaran, Sadaf G Sepanlou, Allen Seylani, Kenbon Seyoum, Feng Sha, Omid Shafaat, Pritik A Shah, Saeed Shahabi, Izza Shahid, Mohammad Amin Shahrbaf, Hamid R Shahsavari, Masood Ali Shaikh, Mohammed Feyisso Shaka, Elaheh Shaker, Mohammed Shannawaz, Mequannent Melaku Sharew Sharew, Azam Sharifi, Javad Sharifi-Rad, Purva Sharma, Bereket Beyene Shashamo, Aziz Sheikh, Mahdi Sheikh, Sara Sheikhbahaei, Rahim Ali Sheikhi, Ali Sheikhy, Peter Robin Shepherd, Adithi Shetty, Jeevan K Shetty, Ranjitha S Shetty, Kenji Shibuya, Reza Shirkoohi, Hesamaddin Shirzad-Aski, K M Shivakumar, Siddharudha Shivalli, Velizar Shivarov, Parnian Shobeiri, Zahra Shokri Varniab, Seyed Afshin Shorofi, Sunil Shrestha, Migbar Mekonnen Sibhat, Sudeep K Siddappa Malleshappa, Negussie Boti Sidemo, Diego Augusto Santos Silva, Luís Manuel Lopes Rodrigues Silva, Guilherme Silva Julian, Nicola Silvestris, Wudneh Simegn, Achintya Dinesh Singh, Ambrish Singh, Garima Singh, Harpreet Singh, Jasvinder A Singh, Jitendra Kumar Singh, Paramdeep Singh, Surjit Singh, Dhirendra Narain Sinha, Abiy H Sinke, Md Shahjahan Siraj, Freddy Sitas, Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Matthew J Soeberg, Ahmad Sofi-Mahmudi, Yonatan Solomon, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Reed J D Sorensen, Sergey Soshnikov, Houman Sotoudeh, Alieu Sowe, Mu'awiyyah Babale Sufiyan, Ryan Suk, Muhammad Suleman, Rizwan Suliankatchi Abdulkader, Saima Sultana, Daniel Sur, Miklós Szócska, Seidamir Pasha Tabaeian, Rafael Tabarés-Seisdedos, Seyyed Mohammad Tabatabaei, Takahiro Tabuchi, Hooman Tadbiri, Ensiyeh Taheri, Majid Taheri, Moslem Taheri Soodejani, Ken Takahashi, Iman M Talaat, Mircea Tampa, Ker-Kan Tan, Nathan Y Tat, Vivian Y Tat, Ahmad Tavakoli, Arash Tavakoli, Arash Tehrani-Banihashemi, Yohannes Tekalegn, Fisaha Haile Tesfay, Rekha Thapar, Aravind Thavamani, Viveksandeep Thoguluva Chandrasekar, Nihal Thomas, Nikhil Kenny Thomas, Jansje Henny Vera Ticoalu, Amir Tiyuri, Daniel Nigusse Tollosa, Roman Topor-Madry, Mathilde Touvier, Marcos Roberto Tovani-Palone, Eugenio Traini, Mai Thi Ngoc Tran, Jaya Prasad Tripathy, Gebresilasea Gendisha Ukke, Irfan Ullah, Saif Ullah, Sana Ullah, Bhaskaran Unnikrishnan, Marco Vacante, Maryam Vaezi, Sahel Valadan Tahbaz, Pascual R Valdez, Constantine Vardavas, Shoban Babu Varthya, Siavash Vaziri, Diana Zuleika Velazquez, Massimiliano Veroux, Paul J Villeneuve, Francesco S Violante, Sergey Konstantinovitch Vladimirov, Vasily Vlassov, Bay Vo, Linh Gia Vu, Abdul Wadood Wadood, Yasir Waheed, Mandaras Tariku Walde, Richard G Wamai, Cong Wang, Fang Wang, Ning Wang, Yu Wang, Paul Ward, Abdul Waris, Ronny Westerman, Nuwan Darshana Wickramasinghe, Melat Woldemariam, Berhanu Woldu, Hong Xiao, Suowen Xu, Xiaoyue Xu, Lalit Yadav, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Fereshteh Yazdanpanah, Yigizie Yeshaw, Yazachew Yismaw, Naohiro Yonemoto, Mustafa Z Younis, Zabihollah Yousefi, Fatemeh Yousefian, Chuanhua Yu, Yong Yu, Ismaeel Yunusa, Mazyar Zahir, Nazar Zaki, Burhan Abdullah Zaman, Moein Zangiabadian, Fariba Zare, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Mohammad A Zeineddine, Dongyu Zhang, Jianrong Zhang, Yunquan Zhang, Zhi-Jiang Zhang, Linghui Zhou, Sanjay Zodpey, Mohammad Zoladl, Theo Vos, Simon I Hay, Lisa M Force, Christopher J L Murray
    Lancet, 2022
  • Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study
    F. Zarei, R. Jalli, S. Chatterjee, R. Ravanfar Haghighi, P. Iranpour, Vani Vardhan Chatterjee, Sedigheh Emadi
    Iranian Journal of Medical Sciences, 2022
  • COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients: COVID-19 prognostic modeling using CT radiomics and machine learning
    Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Shayan Mostafaei, Azadeh Akhavanallaf, Abdollah Saberi, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammad Reza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyaed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi
    Computers in Biology and Medicine, 2022
  • Acute disseminated encephalomyelitis (ADEM) after SARS- CoV-2 vaccination: A case report
    Fereshteh Yazdanpanah, Pooya Iranpour, Sara Haseli, Maryam Poursadeghfard, Fatemeh Yarmahmoodi
    Radiology Case Reports, 2022
  • Comparison of chest CT scan findings between COVID-19 and pulmonary contusion in trauma patients based on RSNA criteria: Established novel criteria for trauma victims
    Hossein Abdolrahimzadeh Fard, Salahaddin Mahmudi-Azer, Qusay Abdulzahraa Yaqoob, Golnar Sabetian, Pooya Iranpour, Zahra Shayan, Shahram Bolandparvaz, Hamid Reza Abbasi, Shiva Aminnia, Maryam Salimi, Mohammad Mehdi Mahmoudi, Shahram Paydar, Roham Borazjani, Ali Taheri Akerdi, Masome Zare, Leila Shayan, Mohammadreza Sasani
    Chinese Journal of Traumatology English Edition, 2022
  • Health system performance in Iran: a systematic analysis for the Global Burden of Disease Study 2019
    Farshad Farzadfar, Mohsen Naghavi, Sadaf G Sepanlou, Sahar Saeedi Moghaddam, William James Dangel, Nicole Davis Weaver, Arya Aminorroaya, Sina Azadnajafabad, Sogol Koolaji, Esmaeil Mohammadi, Negar Rezaei, Jaffar Abbas, Behzad Abbasi, Mitra Abbasifard, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Amir Abdoli, Mohammad Abdollahi, Sina Abdollahzade, Hassan Abolhassani, Zahra Abrehdari-Tafreshi, Soodabeh Aghababaei, Bahman Ahadinezhad, Ali Ahmadi, Sepideh Ahmadi, Hamid Ahmadieh, Mohammad Esmaeil Akbari, Yousef Alimohamadi, Vahid Alipour, Hesam Alizade, Saba Alvand, Saeed Amini, Sohrab Amiri, Ali Arash Anoushirvani, Fereshteh Ansari, Jalal Arabloo, Morteza Arab-Zozani, Zahra Aryan, Armin Aryannejad, Mehran Asadi-Aliabadi, Ali A Asadi-Pooya, Zatollah Asemi, Samaneh Asgari, Saeed Asgary, Babak Asghari, Mohammad Asghari Jafarabadi, Elham Ashrafi, Zahra Atafar, Seyyed Shamsadin Athari, Abolfazl Avan, Abbas Azadmehr, Hiva Azami, Mohammadreza Azangou-Khyavy, Samad Azari, Amirhossein Azari Jafari, Ghasem Azarian, Alireza Badirzadeh, Elham Bahrami, Mohammad Amin Bahrami, Nastaran Barati, Mohsen Bayati, Gholamreza Bazmandegan, Masoud Behzadifar, Ali Bijani, Somayeh Bohlouli, Shiva Borzouei, Parnaz Daneshpajouhnejad, Abdollah Dargahi, Ahmad Daryani, Jalal Davoodi Lahijan, Mojtaba Didehdar, Shirin Djalalinia, Saeid Doaei, Fariba Dorostkar, Leila Doshmangir, Mohammadreza Edraki, Amir Emami, Babak Eshrati, Sharareh Eskandarieh, Firooz Esmaeilzadeh, Shahriar Faghani, Mahdi Fakhar, Hamid Reza Farpour, Hossein Farrokhpour, Majid Fasihi Harandi, Mohammad Fereidouni, Masoud Foroutan, Mansour Ghafourifard, Azin Ghamari, Seyyed-Hadi Ghamari, Ahmad Ghashghaee, Fariba Ghassemi, Ali Gholami, Asadollah Gholamian, Abdolmajid Gholizadeh, Salime Goharinezhad, Pouya Goleij, Mostafa Hadei, Nima Hafezi-Nejad, Sanam Hariri, Edris Hasanpoor, Hossein Hassanian-Moghaddam, Soheil Hassanipour, Hadi Hassankhani, Mohammad Heidari, Reza Heidari-Soureshjani, Mohammad Hoseini, Mohammad-Salar Hosseini, Mostafa Hosseini, Seyed Kianoosh Hosseini, Ali Hosseinzadeh, Mehdi Hosseinzadeh, Soodabeh Hoveidamanesh, Pooya Iranpour, Seyed Sina Naghibi Irvani, Jalil Jaafari, Roxana Jabbarinejad, Morteza Jafarinia, Hamed Jafari-Vayghan, Mohammad Ali Jahani, Nader Jahanmehr, Mahsa Jalili, Roksana Janghorban, Fatemeh Javanmardi, Farahnaz Joukar, Ali Kabir, Leila R Kalankesh, Rohollah Kalhor, Zahra Kamiab, Naser Kamyari, Behzad Karami Matin, Amirali Karimi, Salah Eddin Karimi, Ali Kazemi Karyani, Leila Keikavoosi-Arani, Maryam Keramati, Pedram Keshavarz, Mohammad Keykhaei, Ali Khaleghi, Mohammad Khammarnia, Javad Khanali, Maryam Khayamzadeh, Sajad Khosravi, Mina Khosravifar, Omid Khosravizadeh, Neda Kianipour, Ali-Asghar Kolahi, Amirhosein Maali, Mokhtar Mahdavi Mahdavi, Afshin Maleki, Mohammad-Reza Malekpour, Kamyar Mansori, Borhan Mansouri, Mohammad Ali Mansournia, Mohammad Reza Maracy, Abdoljalal Marjani, Sahar Masoudi, Seyedeh Zahra Masoumi, Hossein Masoumi-Asl, Mahsa Mayeli, Entezar Mehrabi Nasab, Fereshteh Mehri, Mohammad Miri, Seyyedmohammadsadeq Mirmoeeni, Hamed Mirzaei, Maryam Mirzaei, Roya Mirzaei, Ashraf Mohamadkhani, Heidar Mohammadi, Seyyede Momeneh Mohammadi, Shadieh Mohammadi, Abdollah Mohammadian-Hafshejani, Noushin Mohammadifard, Reza Mohammadpourhodki, Mohammad Mohseni, Amin Mokari, Sara Momtazmanesh, Abdolvahab Moradi, Masoud Moradi, Yousef Moradi, Mohammad Moradi-Joo, Farhad Moradpour, Maliheh Moradzadeh, Rahmatollah Moradzadeh, Abbas Mosapour, Shandiz Moslehi, Simin Mouodi, Mehdi Naderi, Homa Naderifar, Zhila Najafpour, Javad Nazari, Seyed Aria Nejadghaderi, Leila Nemati-Anaraki, Amin Reza Nikpoor, Marzieh Nojomi, Maryam Noori, Hasti Nouraei, Ali Nowroozi, Morteza Oladnabi, Fatemeh Pashazadeh Kan, Majid Pirestani, Meghdad Pirsaheb, Mohammadreza Pourahmadi, Hadis Pourchamani, Hadi Pourjafar, Akram Pourshams, Mohammad Rabiee, Navid Rabiee, Alireza Rafiei, Sima Rafiei, Fakher Rahim, Amir Masoud Rahmani, Sina Rashedi, Vahid Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Ramin Ravangard, Reza Rawassizadeh, Iman Razeghian-Jahromi, Mohammad Sadegh Razeghinia, Sofia B Redford, Maryam Rezaei, Nazila Rezaei, Nima Rezaei, Saeid Rezaei, Hossein Rezaei Aliabadi, Mohsen Rezaeian, Mohammad Sadegh Rezai, Aziz Rezapour, Hossein Rezazadeh, Sahba Rezazadeh-Khadem, Morteza Rostamian, Ehsan Sadeghi, Erfan Sadeghi, Masoumeh Sadeghi, Reihaneh Sadeghian, Saeid Sadeghian, Hamid Safarpour, Mahdi Safdarian, Sare Safi, Maryam Sahebazzamani, Amirhossein Sahebkar, Mohammad Ali Sahraian, Sarvenaz Salahi, Payman Salamati, Hossein Samadi Kafil, Yaser Sarikhani, Maryam Sarkhosh, Arash Sarveazad, Maryam Seyed-Nezhad, Omid Shafaat, Zahra Shaghaghi, Saeed Shahabi, Sarvenaz Shahin, Elaheh Shaker, Saeed Shakiba, MohammadBagher Shamsi, Erfan Shamsoddin, Kiomars Sharafi, Sakineh Sharifian, Maryam Shaygan, Abbas Sheikhtaheri, Amir Shiani, Kiarash Shirbandi, Reza Shirkoohi, Parnian Shobeiri, Azad Shokri, Soraya Siabani, Ali Reza Sima, Ahmad Sofi-Mahmudi, Amin Soheili, Shahin Soltani, Mohammad Sadegh Soltani-Zangbar, Moslem Soofi, Seidamir Pasha Tabaeian, Mohammadreza Tabary, Alireza Tahamtan, Majid Taheri, Amir Taherkhani, Masih Tajdini, Hamed Tavolinejad, Arash Tehrani-Banihashemi, Amir Tiyuri, Seyed Abolfazl Tohidast, Alireza Vakilian, Sahel Valadan Tahbaz, Bay Vo, Seyed Hossein Yahyazadeh Jabbari, Vahid Yazdi-Feyzabadi, Zabihollah Yousefi, Taraneh Yousefinezhadi, Mazyar Zahir, Telma Zahirian Moghadam, Maryam Zamanian, Hamed Zandian, Alireza Zangeneh, Hadi Zarafshan, Fariba Zare, Ali Zare Dehnavi, Kourosh Zarea, Ahmad Zarei, Zahra Zareshahrabadi, Arash Ziapour, Sina Zoghi, Nizal Sarrafzadegan, Vafa Rahimi-Movaghar, Hamid Reza Jamshidi, Ali H Mokdad, Simon I Hay, Christopher J L Murray, Ardeshir Khosravi, Maziar Moradi-Lakeh, Mohsen Asadi-Lari, Reza Malekzadeh, Bagher Larijani
    Lancet, 2022
  • Evaluation of Ultra-Low-Dose Chest CT Images to Detect Lung Lesions
    R. Jalli, F. Zarei, S. Chatterjee, R. R. Haghighi, Alireza Novshadi, P. Iranpour, S. Sefidbakht, V. Chatterjee
    Middle East Journal of Cancer, 2022
  • Systemic cystic angiomatosis mimicking metastatic cancer
    Poya Iranpour, Nasrin Namdari, Mehrosadat Alavi, Bita Geramizadeh
    Current Problems in Cancer, 2022
  • Schwannoma of the rectosigmoid colon
    M. Mokhtari, P. Iranpour, Ardalan Golbahar Haghighi, L. Ghahramani
    Advanced Biomedical Research, 2022
  • Use of Magnetic Resonance Imaging to Assess the Regenerative Effects of Adipose Tissue-Derived Mesenchymal Stem Cells in a Rabbit Cartilaginous Laryngeal Defect Model
    Kamyar Iravani, Davood Mehrabani, Aida Doostkam, Negar Azarpira, Pooya Iranpour, Mohsen Bahador, Soheila Mehravar
    Current Therapeutic Research Clinical and Experimental, 2022
  • Differentiation of Chest CT Findings Between Influenza Pneumonia and COVID-19: Interobserver Agreement Between Radiologists
    Fariba Zarei, Reza Jalli, Pooya Iranpour, Sepideh Sefidbakht, Sahar Soltanabadi, Maryam Rezaee, Reza Jahankhah, Alireza Manafi
    Academic Radiology, 2021
  • Evaluation of the confounding factors disturbing the quality of CT images of pulmonary angiography
    Tehran University Medical Journal, 2021
  • Resuming Breast Imaging Services in the Aftermath of the COVID-19 Pandemic: Safety and Beyond
    Sepideh Sefidbakht, Mehrdad Askarian, Bijan Bijan, Mohammad Eghtedari, Sedigheh Tahmasebi, Fariba Zarei, Reza Jalli, Pooya Iranpour
    Clinical Breast Cancer, 2021
  • A novel method for detection of COVID-19 cases using deep residual neural network
    Ali Noshad, Parham Arjomand, Ahmadreza Khonaksar, Pooya Iranpour
    Computer Methods in Biomechanics and Biomedical Engineering Imaging and Visualization, 2021
  • Pelvic Pain and Adnexal Mass: Be Aware of Accessory and Cavitated Uterine Mass
    Pooya Iranpour, Sara Haseli, Pedram Keshavarz, Amirreza Dehghanian, Neda Khalili
    Case Reports in Medicine, 2021
  • Pulmonary embolism and COVID-19 pneumonia: the role of non-enhanced chest computed tomography
    P. Mehrian, P. Iranpour, S. Haseli, N. Khalili
    Reviews in Cardiovascular Medicine, 2020
  • Pegylated Deoxycholic Acid Coated Gold Nanoparticles as a Highly Stable CT Contrast Agent
    Mohammad Mohajeri, Pooya Iranpour, Yasmin Vahidi, Rezvan Ravanfar Haghighi, Zahra Faghih, Morteza Bararjanian, Peyman Salehi
    Chemistryselect, 2020
  • Comment on: COVID-19 or Pulmonary Contusion? A Diagnostic Dilemma
    Sepideh Sefidbakht, Pooya Iranpour
    Academic Radiology, 2020
  • COVID-19 and granulomatosis with polyangiitis (GPA): A diagnostic challenge
    Saeedeh Shenavandeh, Sepideh Sefidbakht, Pooya Iranpour, Arash Teimouri, Sedighe Hooshmandi, Etrat Hooshmandi, Mohammadjavad Athari
    Rheumatology United Kingdom, 2020
  • Extramedullary haematopoiesis presenting as a periportal mass
    Faranak Rafiee, Sara Haseli, Seyed Hamed Jafari, Pooya Iranpour
    BMJ Case Reports, 2020
  • Lung Ultrasound in COVID-19 Pneumonia: Prospects and Limitations
    Neda khalili, Sara Haseli, Pooya Iranpour
    Academic Radiology, 2020
  • Oral Radiology Center as a Potential Source of COVID-19 Transmission; Points to Consider
    Maryam Saki, Sara Haseli, Pooya Iranpour
    Academic Radiology, 2020
  • Aspiration Pneumonia or COVID-19 Infection: A Diagnostic Challenge
    Fariba Zarei, Jalli Reza, Sepideh Sefidbakht, Pooya Iranpour, Rezvan Ravanfar Haghighi
    Academic Radiology, 2020
  • Methanol toxicity outbreak: When fear of COVID-19 goes viral
    Sepideh Sefidbakht, Mehrzad Lotfi, Reza Jalli, Mohsen Moghadami, Golnar Sabetian, Pooya Iranpour
    Emergency Medicine Journal, 2020
  • Recommendations on covid-19 computerized tomography study reporting: The need to optimize reporting categories based on local conditions and available resources
    S. Sefidbakht, M. Lotfi, M. Moghadami, R. Jalli, A. Shakibafard, P. Iranpour, S. H. Jafari, Bijan Bijan
    Iranian Journal of Medical Sciences, 2020
  • Methanol Poisoning Emerging as the Result of COVID-19 Outbreak; Radiologic Perspective
    Pooya Iranpour, Homa Firoozi, Sara Haseli
    Academic Radiology, 2020
  • CT Manifestation of COVID-19 Pneumonia; Role of Multiplanar Imaging
    S.P. Ostad, S. Haseli, P. Iranpour
    Academic Radiology, 2020
  • Fetal MRI in Prenatal Diagnosis of Encephalocele
    Sepideh Sefidbakht, Pooya Iranpour, Pedram Keshavarz, Bijan Bijan, Sara Haseli
    Journal of Obstetrics and Gynaecology Canada, 2020
  • Assessment of the Hallmarks of Wilson Disease in CT Scan Imaging
    Seyed Hamed Jafari, Sara Haseli, Saeed Kaffashan, Mahdi Saeedi-Moghadam, Pooya Iranpour, Banafsheh Zeinali-Rafsanjani
    Journal of Medical Imaging and Radiation Sciences, 2020
  • Comparison of the efficacy of oral fenugreek seeds hydroalcoholic extract versus placebo in nonalcoholic fatty liver disease; A randomized, triple-blind controlled pilot clinical trial
    SeyedAlireza Taghavi, Amirhossein Babaei, Ali Mohammadi, MohammadAmin Mahdiyar, Pooya Iranpour, Fardad Ejtehadi, Abdolali Mohagheghzadeh
    Indian Journal of Pharmacology, 2020
  • Missing pituitary stalk: A key to the diagnosis
    P. Iranpour, S. Haseli
    Iranian Journal of Medical Sciences, 2020
  • Radiological mimickers of covid-19 pneumonia: A pictorial review
    Tanaffos, 2020
  • Evaluation the Effects of Eucalyptus Essential Oil and Hypertonic Saline as Scolicidal Agents in Induction of Sclerosing Cholangitis in Rabbits
    Seyed Vahid Hosseini, Maytham Hameed Al-Qanbar, Hajar Khazraei, Shahin Khodaei, Maral Mokhtari, Pooya Iranpour
    Advanced Biomedical Research, 2020
  • Holoprosencephaly or severe hydrocephalus: T1 sequence tells the story
    Fariba Zarei, Pooya Iranpour, Sara Haseli
    BMJ Case Reports, 2019
  • Renal capillary hemangioma mimicking urothelial carcinoma, a case report and review of the literature
    Bita Geramizadeh, , Nadereh Shams, Pouya Iranpour, Mohammad javad Rajabi, , , and
    Iranian Journal of Pathology, 2019
  • Diagnostic accuracy of axillary ultrasonography compared with intra-operative pathological findings in patients with breast cancer
    Alireza Rezvani, Aryan Zahergivar, Pooya Iranpour, Majid Akrami, Sepehr Kazemi
    Asian Pacific Journal of Cancer Prevention, 2018
  • Synthesis of highly stable and biocompatible gold nanoparticles for use as a new X-ray contrast agent
    Pooya Iranpour, Maral Ajamian, Afsaneh Safavi, Nasser Iranpoor, Abdolkarim Abbaspour, Sanaz Javanmardi
    Journal of Materials Science Materials in Medicine, 2018
  • Crescent sign in abdominal aortic aneurysm
    Pooya Iranpour, Sara Haseli
    BMJ Case Reports, 2018
  • Hydatid cyst of the neck mimicking a branchial cleft cyst
    Pooya Iranpour, Azadeh Masroori
    BMJ Case Reports, 2018
  • Renal pseudomass: Be aware of splenorenal fusion
    Hamed Jafari, Pooya Iranpour, Sara Haseli
    BMJ Case Reports, 2018
  • A new X-ray contrast agent based on highly stable gum arabic-gold nanoparticles synthesised in deep eutectic solvent
    Shoaleh Shahidi, Shiva Iranpour, Pooya Iranpour, Ali Asghar Alavi, Farzaneh Aghakhani Mahyari, Maryam Tohidi, Afsaneh Safavi
    Journal of Experimental Nanoscience, 2015
  • Altered Doppler flow patterns in cirrhosis patients: An overview
    Pooya Iranpour, Chandana Lall, Roozbeh Houshyar, Mohammad Helmy, Albert Yang, Joon-Il Choi, Garrett Ward, Scott C Goodwin
    Ultrasonography, 2015
  • Cervical meningocele associated with subependymal nodular heterotopia
    M. Lotfi, P. Iranpour, K. As'adi
    Clinical Imaging, 2011
  • Pneumatocyst, mimicking a sclerotic bony lesion on magnetic resonance imaging
    Fariba Zarei, Pooya Iranpour
    Spine Journal, 2010
  • Homocystinuria, typical brain MRI findings
    P Iranpour, N Karamifar, K As’adi
    JBR BTR, 2010

RECENT SCHOLAR PUBLICATIONS

  • PEGylated pemetrexed and polynipam decorated gold nanoparticles: a biocompatible and highly stable CT contrast agent for cancer imaging
    M Mohajeri, P Salehi, B Heidari, H Rafati, SM Asghari, H Behboudi, ...
    ACS Applied Bio Materials 7 (9), 5977-5991 , 2024
    2024
    Citations: 8
  • Differential privacy preserved federated learning for prognostic modeling in COVID‐19 patients using large multi‐institutional chest CT dataset
    I Shiri, Y Salimi, N Sirjani, B Razeghi, S Bagherieh, M Pakbin, Z Mansouri, ...
    Medical Physics 51 (7), 4736-4747 , 2024
    2024
    Citations: 12
  • Acro metastasis: A rare presentation in a common cancer
    A Ghanei-Shahmirzadi, N Namdari, M Mokhtari, P Iranpour
    Current Problems in Cancer: Case Reports 14, 100292 , 2024
    2024
  • A versatile theranostic magnetic polydopamine iron oxide NIR laser-responsive nanosystem containing doxorubicin for chemo-photothermal therapy of melanoma
    M Dehghankhold, F Ahmadi, N Nezafat, M Abedi, P Iranpour, ...
    Biomaterials Advances 159, 213797 , 2024
    2024
    Citations: 17
  • Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: a large multicentric cohort study
    I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ...
    International Journal of Imaging Systems and Technology 34 (2), e23028 , 2024
    2024
    Citations: 6
  • Mast cell sarcoma of small intestine, early diagnosis, and good prognosis: an extremely rare case report and review of the literature
    B Geramizadeh, S Nabavizadeh, A Rezvani, N Shamsolvaezin, ...
    Gastrointestinal Tumors 10 (1), 1-5 , 2023
    2023
    Citations: 3
  • Glucosamine-modified mesoporous silica-coated magnetic nanoparticles: A “Raisin-Cake”-like structure as an efficient theranostic platform for targeted methotrexate delivery
    F Farjadian, Z Faghih, M Fakhimi, P Iranpour, S Mohammadi-Samani, ...
    Pharmaceutics 15 (10), 2491 , 2023
    2023
    Citations: 17
  • Diagnostic performance and safety of positron emission tomography with 18F-rhPSMA-7.3 in patients with newly diagnosed unfavourable intermediate-to very-high-risk prostate …
    DS Surasi, M Eiber, T Maurer, MA Preston, BT Helfand, D Josephson, ...
    European urology 84 (4), 361-370 , 2023
    2023
    Citations: 98
  • Hydatid disease: a pictorial review of uncommon locations
    N Khalili, P Iranpour, N Khalili, S Haseli
    Iranian journal of medical sciences 48 (2), 118 , 2023
    2023
    Citations: 49
  • Ethical challenges of artificial intelligence in the field of radiology: a letter to editor
    P Pishdad
    Tehran University Medical Journal 81 (3), 246-247 , 2023
    2023
    Citations: 2
  • Theranostic hyaluronan coated EDTA modified magnetic mesoporous silica nanoparticles for targeted delivery of cisplatin
    K Zarkesh, R Heidari, P Iranpour, N Azarpira, F Ahmadi, ...
    Journal of Drug Delivery Science and Technology 77, 103903 , 2022
    2022
    Citations: 31
  • Incidental diagnosis of a rare endobronchial schwannoma in a 7-year-old girl: A case report
    MG Jahromi, AS Yakhdani, M Saeedi-Moghadam, P Iranpour
    Radiology Case Reports 17 (10), 4043-4045 , 2022
    2022
    Citations: 2
  • A case of aqueductal obstruction by web with no sign except a headache
    F Zarei, B Zeinali-Rafsanjani, P Iranpour, S Sefidbakht
    Radiology Case Reports 17 (10), 3767-3769 , 2022
    2022
    Citations: 4
  • Currarino syndrome as an incidental radiologic finding in a patient with acute flank pain: A case report
    MG Jahromi, S Haseli, P Iranpour, AM Nourizadeh
    Radiology Case Reports 17 (9), 2936-2939 , 2022
    2022
  • The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
    KB Tran, JJ Lang, K Compton, R Xu, AR Acheson, HJ Henrikson, ...
    The Lancet 400 (10352), 563-591 , 2022
    2022
    Citations: 1087
  • The global burden of cancer attributable to risk factors, 2010–19
    KB Tran, JJ Lang, K Compton, R Xu, AR Acheson, HJ Henrikson, ...
    2022
  • EVALUATION OF THE PERFORMANCE OF IODINE LOAD REDUCTION AT LOW KVP CT PROTOCOL
    R Ravanfar Haghighi, S Chatterjee, H Nasrolahi, P Iranpour, F Zarei, ...
    Iranian Congress of Radiology 37 (2), 21-21 , 2022
    2022
  • Evaluation of ultra-low-dose chest computed tomography images in detecting lung lesions related to COVID-19: A prospective study
    F Zarei, R Jalli, S Chatterjee, RR Haghighi, P Iranpour, VV Chatterjee, ...
    Iranian Journal of Medical Sciences 47 (4), 338 , 2022
    2022
    Citations: 5
  • Response to “Do not miss Bickerstaff encephalitis as a complication of SARS-CoV-2 vaccines”
    F Yarmahmoodi, P Iranpoor
    Radiology Case Reports 17 (9), 3088 , 2022
    2022
  • COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
    I Shiri, Y Salimi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, S Mostafaei, ...
    Computers in biology and medicine 145, 105467 , 2022
    2022
    Citations: 81

MOST CITED SCHOLAR PUBLICATIONS

  • The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019
    KB Tran, JJ Lang, K Compton, R Xu, AR Acheson, HJ Henrikson, ...
    The Lancet 400 (10352), 563-591 , 2022
    2022
    Citations: 1087
  • Health system performance in Iran: a systematic analysis for the Global Burden of Disease Study 2019
    F Farzadfar, M Naghavi, SG Sepanlou, SS Moghaddam, WJ Dangel, ...
    The Lancet 399 (10335), 1625-1645 , 2022
    2022
    Citations: 266
  • Altered Doppler flow patterns in cirrhosis patients: an overview
    P Iranpour, C Lall, R Houshyar, M Helmy, A Yang, JI Choi, G Ward, ...
    Ultrasonography 35 (1), 3-12 , 2016
    2016
    Citations: 130
  • Diagnostic performance and safety of positron emission tomography with 18F-rhPSMA-7.3 in patients with newly diagnosed unfavourable intermediate-to very-high-risk prostate …
    DS Surasi, M Eiber, T Maurer, MA Preston, BT Helfand, D Josephson, ...
    European urology 84 (4), 361-370 , 2023
    2023
    Citations: 98
  • COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
    I Shiri, Y Salimi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, S Mostafaei, ...
    Computers in biology and medicine 145, 105467 , 2022
    2022
    Citations: 81
  • Statins in patients with COVID-19: a retrospective cohort study in Iranian COVID-19 patients
    P Peymani, T Dehesh, F Aligolighasemabadi, M Sadeghdoust, K Kotfis, ...
    Translational medicine communications 6 (1), 3 , 2021
    2021
    Citations: 67
  • Hydatid disease: a pictorial review of uncommon locations
    N Khalili, P Iranpour, N Khalili, S Haseli
    Iranian journal of medical sciences 48 (2), 118 , 2023
    2023
    Citations: 49
  • Synthesis of highly stable and biocompatible gold nanoparticles for use as a new X-ray contrast agent
    P Iranpour, M Ajamian, A Safavi, N Iranpoor, A Abbaspour, S Javanmardi
    Journal of Materials Science: Materials in Medicine 29 (5), 48 , 2018
    2018
    Citations: 41
  • Methanol toxicity outbreak: when fear of COVID-19 goes viral
    S Sefidbakht, M Lotfi, R Jalli, M Moghadami, G Sabetian, P Iranpour
    Emergency medicine journal 37 (7), 416-416 , 2020
    2020
    Citations: 35
  • Theranostic hyaluronan coated EDTA modified magnetic mesoporous silica nanoparticles for targeted delivery of cisplatin
    K Zarkesh, R Heidari, P Iranpour, N Azarpira, F Ahmadi, ...
    Journal of Drug Delivery Science and Technology 77, 103903 , 2022
    2022
    Citations: 31
  • Diagnosis of COVID-19 using CT image radiomics features: a comprehensive machine learning study involving 26,307 patients
    I Shiri, Y Salimi, A Saberi, M Pakbin, G Hajianfar, AH Avval, A Sanaat, ...
    medRxiv, 2021.12. 07.21267367 , 2021
    2021
    Citations: 29
  • Acute disseminated encephalomyelitis (ADEM) after SARS-CoV-2 vaccination: a case report
    F Yazdanpanah, P Iranpour, S Haseli, M Poursadeghfard, ...
    Radiology case reports 17 (5), 1789-1793 , 2022
    2022
    Citations: 28
  • Oral radiology center as a potential source of COVID-19 transmission; points to consider
    M Saki, S Haseli, P Iranpour
    Academic Radiology 27 (7), 1047 , 2020
    2020
    Citations: 27
  • Methanol poisoning emerging as the result of COVID-19 outbreak; radiologic perspective
    P Iranpour, H Firoozi, S Haseli
    Academic radiology 27 (5), 755 , 2020
    2020
    Citations: 27
  • A new X-ray contrast agent based on highly stable gum arabic-gold nanoparticles synthesised in deep eutectic solvent
    S Shahidi, S Iranpour, P Iranpour, AA Alavi, FA Mahyari, M Tohidi, ...
    Journal of Experimental Nanoscience 10 (12), 911-924 , 2015
    2015
    Citations: 27
  • Differentiation of chest CT findings between influenza pneumonia and COVID-19: interobserver agreement between radiologists
    F Zarei, R Jalli, P Iranpour, S Sefidbakht, S Soltanabadi, M Rezaee, ...
    Academic Radiology 28 (10), 1331-1338 , 2021
    2021
    Citations: 23
  • Evaluation of Chest CT Scan as a Screening and Diagnostic Tool inTrauma Patients with Coronavirus Disease 2019 (COVID-19): ACross-Sectional Study
    M Abdolrahimzadeh Fard, H., Mahmudi-Azer, S., Sefidbakht, S., Iranpour, P ...
    Emergency Medicine International , 2021
    2021
    Citations: 21
  • Lung ultrasound in COVID-19 pneumonia: prospects and limitations
    S Haseli, P Iranpour
    Academic radiology 27 (7), 1044 , 2020
    2020
    Citations: 21
  • Comparison of the efficacy of oral fenugreek seeds hydroalcoholic extract versus placebo in nonalcoholic fatty liver disease; a randomized, triple-blind controlled pilot …
    A Babaei, SA Taghavi, A Mohammadi, MA Mahdiyar, P Iranpour, ...
    Indian journal of pharmacology 52 (2), 86-93 , 2020
    2020
    Citations: 19
  • A versatile theranostic magnetic polydopamine iron oxide NIR laser-responsive nanosystem containing doxorubicin for chemo-photothermal therapy of melanoma
    M Dehghankhold, F Ahmadi, N Nezafat, M Abedi, P Iranpour, ...
    Biomaterials Advances 159, 213797 , 2024
    2024
    Citations: 17