Outputs (8)

Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review. (2024)
Journal Article
Hashemian, H., Peto, T., Ambrósio, R., Lengyel, I., Kafieh, R., Muhammed Noori, A., & Khorrami-Nejad, M. (2024). Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review. Journal of Ophthalmic and Vision Research, 19(3), 354-367. https://doi.org/10.18502/jovr.v19i3.15893

Artificial intelligence (AI) holds immense promise for transforming ophthalmic care through automated screening, precision diagnostics, and optimized treatment planning. This paper reviews recent advances and challenges in applying AI techniques such... Read More about Application of Artificial Intelligence in Ophthalmology: An Updated Comprehensive Review..

Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis (2024)
Journal Article
Ajami, S., Van den Dam, Z., Hut, J., Savery, D., Chin, M., Koudstaal, M., Steacy, M., Carriero, A., Pitsillides, A., Chang, Y., Rau, C., Marathe, S., Dunaway, D., Jeelani, N. U. O., Schievano, S., Pauws, E., & Borghi, A. (2024). Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis. Journal of Anatomy, 245(6), 864-873. https://doi.org/10.1111/joa.14121

Crouzon syndrome is a congenital craniofacial disorder caused by mutations in the Fibroblast Growth Factor Receptor 2 (FGFR2). It is characterized by the premature fusion of cranial sutures, leading to a brachycephalic head shape, and midfacial hypop... Read More about Cranial bone microarchitecture in a mouse model for syndromic craniosynostosis.

Biomimetic Plasmonic Nanophages by Head/Tail Self-Assembling: Gold Nanoparticle/Virus Interactions. (2024)
Journal Article
Ahmed, H., Lopez, H., Boselli, F., Tarricone, G., Vercellino, S., Costantini, P. E., Castagnola, V., Veronesi, M., Benfenati, F., Danielli, A., Boselli, L., & Pompa, P. P. (2024). Biomimetic Plasmonic Nanophages by Head/Tail Self-Assembling: Gold Nanoparticle/Virus Interactions. ACS Nano, 18(32), 21302-21315. https://doi.org/10.1021/acsnano.4c05198

Gold nanoparticles (AuNPs), because of their dual plasmonic and catalytic functionalities, are among the most promising nanomaterials for the development of therapeutic and diagnostic tools for severe diseases such as cancer and neurodegeneration. Ba... Read More about Biomimetic Plasmonic Nanophages by Head/Tail Self-Assembling: Gold Nanoparticle/Virus Interactions..

SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. (2024)
Journal Article
Arian, R., Aghababaei, A., Soltanipour, A., Khodabandeh, Z., Rakhshani, S., Iyer, S. B., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images. Translational Vision Science & Technology, 13(7), Article 13. https://doi.org/10.1167/tvst.13.7.13

Several machine learning studies have used optical coherence tomography (OCT) for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance scanning laser ophthalmoscopy (IR-SLO) captures high-resolution fundus images, comm... Read More about SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images..

Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction (2024)
Journal Article
Aghababaei, A., Arian, R., Soltanipour, A., Ashtari, F., Rabbani, H., & Kafieh, R. (2024). Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction. Multiple Sclerosis and Related Disorders, 88, Article 105743. https://doi.org/10.1016/j.msard.2024.105743

Optical coherence tomography (OCT) investigations have revealed that the thickness of inner retinal layers becomes decreased in multiple sclerosis (MS) patients, compared to healthy control (HC) individuals. To date, a number of studies have applied... Read More about Discrimination of multiple sclerosis using scanning laser ophthalmoscopy images with autoencoder-based feature extraction.

Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network (2024)
Journal Article
Bolton, R. C., Kafieh, R., Ashtari, F., & Atapour-Abarghouei, A. (2024). Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network. IEEE Access, 12, 62975-62985. https://doi.org/10.1109/access.2024.3395995

Multiple sclerosis (MS) is a chronic neurological disorder that targets the central nervous system, causing demyelination and neural disruption, which can include retinal nerve damage leading to visual disturbances. The purpose of this study is to de... Read More about Diagnosis of multiple sclerosis by detecting asymmetry within the retina using a similarity-based neural network.

Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study. (2024)
Journal Article
Amini, A., Shayganfar, A., Amini, Z., Ostovar, L., HajiAhmadi, S., Chitsaz, N., Rabbani, M., & Kafieh, R. (2024). Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study. Multiple Sclerosis and Related Disorders, 87, Article 105642. https://doi.org/10.1016/j.msard.2024.105642

Within the domain of multiple sclerosis (MS), the precise discrimination between active and inactive lesions bears immense significance. Active lesions are enhanced on T1-weighted MRI images after administration of gadolinium-based contrast agents, w... Read More about Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study..

Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review (2023)
Journal Article
Rahimi, M., Khameneh, E. A., Riazi-Esfahani, H., Mahmoudi, T., Khalili Pour, E., & Kafieh, R. (2023). Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review. Journal of Ophthalmology, 2023, https://doi.org/10.1155/2023/9479183

Background. This study aimed to review the literature on the application of ImageJ in optical coherence tomography angiography (OCT-A) images. Methods. A general search was performed in PubMed, Google Scholar, and Scopus databases. The authors evalua... Read More about Application of ImageJ in Optical Coherence Tomography Angiography (OCT-A): A Literature Review.