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Amir Rahdar

Showing results (1-10 of 14) with videos related to

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Computers in Biology and Medicine|March 14, 2024
Efficiently improving the Wi-Fi-based human activity recognition, using auditory features, autoencoders, and fine-tuningAmir Rahdar, Mahnaz Chahoushi, Seyed Ali Ghorashi
The Ocular Surface|June 17, 2026
Beyond Diagnosis: AI-Based Surgical Risk Assessment in Acanthamoeba Keratitis with Real-World ValidationHassan Asadigandomani, Michael Maizel, Amir Rahdar, et al.
Ophthalmology|April 30, 2025
Visual Outcomes after Strabismus Surgery in Pediatric Patients with Strabismic Amblyopia: An IRIS® Registry StudyMary Ellen Hoehn, Amin Nabavi, Amir Rahdar, et al.
Scientific Reports|November 25, 2024
Machine learning methods to identify risk factors for corneal graft rejection in keratoconusSepehr Feizi, Mohammad Ali Javadi, Kia Bayat, et al.
Microcirculation (New York, N.Y. : 1994)|December 27, 2024
Colocalization of Ellipsoid Zone Disruption With Capillary Nonperfusion in Different Retinal Vascular Layers and Choriocapillaris on En Face OCT of Diabetic PatientsReza Mirshahi, Amir Rahdar, Mohamad Javad Ahmadi, et al.
Translational Vision Science & Technology|January 14, 2026
Automated Assessment of Choroidal Mass Dimensions Using Static and Dynamic Ultrasonographic ImagingNoah Emmert, Gideon Wall, Amin Nabavi, et al.
Scientific Reports|August 10, 2023
Semi-supervised segmentation of retinoblastoma tumors in fundus imagesAmir Rahdar, Mohamad Javad Ahmadi, Masood Naseripour, et al.
The Ocular Surface|August 2, 2025
Deep learning-based classification of fungal and Acanthamoeba keratitis using confocal microscopyRohith Erukulla, Kosar Esmaili, Amir Rahdar, et al.
Scientific Reports|December 14, 2023
From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based studyMohammad Soleimani, Kosar Esmaili, Amir Rahdar, et al.
Scientific Reports|April 24, 2025
Author Correction: From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based studyMohammad Soleimani, Kosar Esmaili, Amir Rahdar, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|March 14, 2024
Efficiently improving the Wi-Fi-based human activity recognition, using auditory features, autoencoders, and fine-tuningAmir Rahdar, Mahnaz Chahoushi, Seyed Ali Ghorashi
The Ocular Surface|June 17, 2026
Beyond Diagnosis: AI-Based Surgical Risk Assessment in Acanthamoeba Keratitis with Real-World ValidationHassan Asadigandomani, Michael Maizel, Amir Rahdar, et al.
Ophthalmology|April 30, 2025
Visual Outcomes after Strabismus Surgery in Pediatric Patients with Strabismic Amblyopia: An IRIS® Registry StudyMary Ellen Hoehn, Amin Nabavi, Amir Rahdar, et al.
Scientific Reports|November 25, 2024
Machine learning methods to identify risk factors for corneal graft rejection in keratoconusSepehr Feizi, Mohammad Ali Javadi, Kia Bayat, et al.
Microcirculation (New York, N.Y. : 1994)|December 27, 2024
Colocalization of Ellipsoid Zone Disruption With Capillary Nonperfusion in Different Retinal Vascular Layers and Choriocapillaris on En Face OCT of Diabetic PatientsReza Mirshahi, Amir Rahdar, Mohamad Javad Ahmadi, et al.
Translational Vision Science & Technology|January 14, 2026
Automated Assessment of Choroidal Mass Dimensions Using Static and Dynamic Ultrasonographic ImagingNoah Emmert, Gideon Wall, Amin Nabavi, et al.
Scientific Reports|August 10, 2023
Semi-supervised segmentation of retinoblastoma tumors in fundus imagesAmir Rahdar, Mohamad Javad Ahmadi, Masood Naseripour, et al.
The Ocular Surface|August 2, 2025
Deep learning-based classification of fungal and Acanthamoeba keratitis using confocal microscopyRohith Erukulla, Kosar Esmaili, Amir Rahdar, et al.
Scientific Reports|December 14, 2023
From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based studyMohammad Soleimani, Kosar Esmaili, Amir Rahdar, et al.
Scientific Reports|April 24, 2025
Author Correction: From the diagnosis of infectious keratitis to discriminating fungal subtypes; a deep learning-based studyMohammad Soleimani, Kosar Esmaili, Amir Rahdar, et al.
Pageof 2