Accès ouvert
2026
article
OpenAlex
Hassan Khojasteh, Fatemeh Bazvand, Mostafa Haidari, Amir Akhavanrezayat et autres
Purpose: To describe spectral-domain optical coherence tomography (SD-OCT) morphological characteristics in patients with cone dysfunction disorders. Methods: This retrospective, single-center observational study was conducted at a tertiary referral university eye hospital between July 2018 and September 2020. Forty-two patients (84 eyes) with …
ir, us
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Accès ouvert
2026
article
OpenAlex
Ali Rastaghi, Mohammad Javad Ahmadi, Esmaeil Asadi Khameneh, Reza Heidari et autres
Surgical skill assessment is critical for patient safety and effective training, yet prevailing methods often lack objectivity and educational value. Expert based ratings are subjective and time consuming, while many automated approaches provide opaque scores with limited instructional relevance. This study proposes …
ir, ca
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Accès ouvert
2026
article
OpenAlex
Alisina Eghbalnia, Romina Dadkhah, Hamid Riazi‐Esfahani, Elias Khalili Pour
BACKGROUND: Klippel-Trenaunay syndrome (KTS) is a rare congenital vascular disorder characterized by capillary malformations, venous and/or lymphatic malformations, and asymmetric limb overgrowth. It results from somatic activating mutations in the PIK3CA gene, leading to dysregulated vascular development. While primarily affecting the skin …
ir
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Accès ouvert
2026
article
OpenAlex
Mohammad Mahdi Nazeri Ardakani, Kazem Jafari, Ali Hassani, Abasalat Khorasani et autres
Vitreoretinal surgery demands phenomenal precision, dexterity, and steadiness—skills that push the limits of human motor control. Conventional training approaches, which depend on mentorship and subjective judgment, provide minimal opportunities for standardized evaluation or objective feedback. To address this, we present ARASH ASiST, …
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Accès ouvert
2025
article
OpenAlex
Reza Heidari, Esmaeil Asadi Khameneh, Ali Rastaghi, M. R. Dindarloo et autres
Deep vitrectomy, a complex ophthalmic procedure, demands precise instrument control and remains challenging to master. This study evaluated the ARASH:ASiST robotic system as a platform for real-time, quantitative assessment of deep vitrectomy in a pre-clinical setting using cadaveric human eyes. The system …
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(code pays fourni par la source)
2025
conference-paper
OpenAlex
Elias Ebrahimzadeh, Amin Mohammad Mohammadi, Ahmad Hammoud, Lila Rajabion et autres
Understanding the neural feedback mechanisms that govern cognitive decision-making during reward and punishment processing is crucial for deciphering brain function. This study introduces the first simultaneous electroencephalography-functional magnetic resonance imaging (EEG-fMRI) investigation of a modified gambling task, analyzed using a General Linear …
ir, ru, us
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2025
article
OpenAlex
E. Karami, Hamid Riazi‐Esfahani
Knee osteoarthritis (KOA) is a common joint disease that causes pain and mobility issues. While MRI-based deep learning models have demonstrated superior performance in predicting total knee replacement (TKR) and disease progression, their generalizability remains challenging, particularly when applied to imaging data …
ir
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2025
conference-paper
OpenAlex
Mostafa Asgarinejad, Elias Ebrahimzadeh, Vida Mirabolfathi, Lila Rajabion et autres
This paper presents a real-time convolutional neural network (CNN) framework for simultaneous facial emotion and gender recognition. The proposed architecture is designed to process facial images and classify them into six basic emotion categories (happiness, sadness, anger, fear, surprise, disgust) and two …
ir, us
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Elias Ebrahimzadeh, Hora Amoozegar, Mostafa Asgarinejad, Melika Akbarimehr et autres
A central goal of the presurgical evaluation for refractory focal epilepsy is the accurate delineation of the epileptogenic zone (EZ)-the cortical region indispensable for generating epileptic seizures. Given that electroencephalography (EEG) provides superior temporal resolution while functional magnetic resonance imaging (fMRI) offers …
ir
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Accès ouvert
2025
article
OpenAlex
Hakimeh Rakhshandeh, Ahmad Nasiraei, Hamid Riazi‐Esfahani, Babak Masoomian et autres
This study investigates the feasibility of using tear sample analysis, based on protein corona formation on gold nanoparticles combined with electrospray ionization mass spectrometry (ESI-MS) and machine learning techniques, as a non-invasive approach for the detection of choroidal melanoma. The aim is …
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Accès ouvert
2025
article
OpenAlex
Shadi Naderyan Feli, Mohammad Hassan Emamian, Mehdi Yaseri, Hamid Riazi‐Esfahani et autres
BACKGROUND AND OBJECTIVE: Prediction models enable healthcare providers to perform early risk stratification. This study aimed to develop and internally validate prediction models for 5- and 10-year risks of developing diabetic retinopathy (DR) in the Iranian individuals with type 2 diabetes. METHODS: …
ir
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Accès ouvert
2025
article
OpenAlex
Nazanin Ebrahimiadib, Ghazal Ghochani, Samira Yadegari, Bryce E. Buchowicz et autres
Introduction: Inflammation of the prelaminar compartment of the optic nerve involves the most anterior segment of the nerve. It can occur in isolation, in the setting of immunological or demyelinating disorders. Case Presentation: We present two 32- and 41-year-old female patients with …
us, ir
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