Zobrazeno 1 - 10
of 8 205
pro vyhledávání: '"A, Nasseri"'
Autor:
Arikan, Demir, Zhang, Peiyao, Sommersperger, Michael, Dehghani, Shervin, Esfandiari, Mojtaba, Taylor, Russel H., Nasseri, M. Ali, Gehlbach, Peter, Navab, Nassir, Iordachita, Iulian
Exudative (wet) age-related macular degeneration (AMD) is a leading cause of vision loss in older adults, typically treated with intravitreal injections. Emerging therapies, such as subretinal injections of stem cells, gene therapy, small molecules o
Externí odkaz:
http://arxiv.org/abs/2411.18521
Autor:
Arikan, Demir, Zhang, Peiyao, Sommersperger, Michael, Dehghani, Shervin, Esfandiari, Mojtaba, Taylor, Russel H., Nasseri, M. Ali, Gehlbach, Peter, Navab, Nassir, Iordachita, Iulian
Robotic platforms provide repeatable and precise tool positioning that significantly enhances retinal microsurgery. Integration of such systems with intraoperative optical coherence tomography (iOCT) enables image-guided robotic interventions, allowi
Externí odkaz:
http://arxiv.org/abs/2411.06557
Autor:
Zhao, Zhihao, Faghihroohi, Shahrooz, Zhao, Yinzheng, Yang, Junjie, Zhong, Shipeng, Huang, Kai, Navab, Nassir, Li, Boyang, Nasseri, M. Ali
Background and Objective: In the realm of ophthalmic imaging, accurate vascular segmentation is paramount for diagnosing and managing various eye diseases. Contemporary deep learning-based vascular segmentation models rival human accuracy but still f
Externí odkaz:
http://arxiv.org/abs/2410.21160
Autor:
Zhao, Zhihao, Yang, Junjie, Faghihroohi, Shahrooz, Zhao, Yinzheng, Zapp, Daniel, Huang, Kai, Navab, Nassir, Nasseri, M. Ali
The utilization of longitudinal datasets for glaucoma progression prediction offers a compelling approach to support early therapeutic interventions. Predominant methodologies in this domain have primarily focused on the direct prediction of glaucoma
Externí odkaz:
http://arxiv.org/abs/2410.21130
Purpose: To investigate the changes in retinal vascular structures associated various stages of myopia by designing automated software based on an artif intelligencemodel. Methods: The study involved 1324 pediatric participants from the National Chil
Externí odkaz:
http://arxiv.org/abs/2409.20419
AI-based vascular segmentation is becoming increasingly common in enhancing the screening and treatment of ophthalmic diseases. Deep learning structures based on U-Net have achieved relatively good performance in vascular segmentation. However, small
Externí odkaz:
http://arxiv.org/abs/2410.02808
Autor:
Yang, Junjie, Zhao, Zhihao, Shen, Siyuan, Zapp, Daniel, Maier, Mathias, Huang, Kai, Navab, Nassir, Nasseri, M. Ali
Robotic ophthalmic surgery is an emerging technology to facilitate high-precision interventions such as retina penetration in subretinal injection and removal of floating tissues in retinal detachment depending on the input imaging modalities such as
Externí odkaz:
http://arxiv.org/abs/2311.08799
Autor:
Sirwan Maroufpour, Kamran Aryana, Shahrokh Nasseri, Zahra Fazeli, Hossein Arabi, Mehdi Momennezhad
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract Purpose Clinical trials have yielded promising results for 177Lutetium Prostate Specific Membrane Antigen (177Lu-PSMA) therapy in metastatic castration resistant prostate cancer (mCRPC) patients. However, the development of precise methods f
Externí odkaz:
https://doaj.org/article/a3a94ce5590d440691bd22909f31cd4c
Publikováno v:
International Journal of Emerging Markets, 2022, Vol. 19, Issue 9, pp. 2347-2365.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOEM-07-2020-0735
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Purpose To investigate the changes in retinal vascular structures associated with various stages of myopia by designing automated software based on an artificial intelligence model. Methods The study involved 1324 pediatric participants from
Externí odkaz:
https://doaj.org/article/87ccc848cd864f0b94ba268219715b9e