Zobrazeno 1 - 10
of 22 850
pro vyhledávání: '"A. M. Ali"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 4057-4086 (2023)
The filling of the Grand Ethiopian Renaissance Dam (GERD) started in 2020, posing additional challenges for downstream water management in the Blue Nile River in the Republic of the Sudan, which is already struggling to cope with the effects of clima
Externí odkaz:
https://doaj.org/article/667b3ba640464f139acc4b95aa3eb0df
Publikováno v:
Bulgarian Journal of Veterinary Medicine, Vol 26, Iss 1, Pp 53-64 (2023)
Lumpy skin disease (LSD) is a viral disease, geographically distributed in Africa and now, vigorously spread in the Near East and also in Europe and Asia. It has a significant economic impact on cattle industry in Africa. The aim of this study was is
Externí odkaz:
https://doaj.org/article/a96fe6a0065a4f9884e50aa5e9896d43
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
Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained significant attent
Externí odkaz:
http://arxiv.org/abs/2408.00435
Autor:
Le, Triet H. M., Babar, M. Ali
Background: Software Vulnerability (SV) prediction needs large-sized and high-quality data to perform well. Current SV datasets mostly require expensive labeling efforts by experts (human-labeled) and thus are limited in size. Meanwhile, there are gr
Externí odkaz:
http://arxiv.org/abs/2407.17803
Background: The C and C++ languages hold significant importance in Software Engineering research because of their widespread use in practice. Numerous studies have utilized Machine Learning (ML) and Deep Learning (DL) techniques to detect software vu
Externí odkaz:
http://arxiv.org/abs/2407.17053