Zobrazeno 1 - 10
of 701
pro vyhledávání: '"Rengaraj P"'
Current methods for predicting osteoarthritis (OA) outcomes do not incorporate disease specific prior knowledge to improve the outcome prediction models. We developed a novel approach that effectively uses consecutive imaging studies to improve OA ou
Externí odkaz:
http://arxiv.org/abs/2406.10119
Autor:
Zhang, Chaojie, Chen, Shengjia, Cigdem, Ozkan, Rajamohan, Haresh Rengaraj, Cho, Kyunghyun, Kijowski, Richard, Deniz, Cem M.
A transformer-based deep learning model, MR-Transformer, was developed for total knee replacement (TKR) prediction using magnetic resonance imaging (MRI). The model incorporates the ImageNet pre-training and captures three-dimensional (3D) spatial co
Externí odkaz:
http://arxiv.org/abs/2405.02784
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 2, Pp 1004-1012 (2024)
Pseudomonas aeruginosa, a Gram-negative bacterium, presents a substantial challenge in healthcare due to its adaptability and resistance. This study delves into its genotypic characteristics, focusing on ESBL and MBL genes. The prevalence of P. aerug
Externí odkaz:
https://doaj.org/article/de38e18c02a449bf8958265634d3a889
Autor:
Ramya Rengaraj, Ragu Karunaivel, Sabarinathan Thiyagarajan, Sivaranjini Alagiri, Saleem Mohamed Ali
Publikováno v:
Journal of Clinical and Diagnostic Research, Vol 18, Iss 06, Pp 14-17 (2024)
Introduction: Hepatitis B Virus (HBV) infection remains a significant public health concern globally, necessitating accurate and timely diagnostic methods. Immunochromatographic Tests (ICTs) and Electrochemiluminescence Assays (ECLIAs) are widely use
Externí odkaz:
https://doaj.org/article/a6ab9bf9d7744cdcb8f3fcc9d26bad30
Autor:
Coan, Lauren, Williams, Bryan, Venkatesh, Krishna Adithya, Upadhyaya, Swati, Czanner, Silvester, Venkatesh, Rengaraj, Willoughby, Colin E., Kavitha, Srinivasan, Czanner, Gabriela
Glaucoma is a leading cause of irreversible vision impairment globally and cases are continuously rising worldwide. Early detection is crucial, allowing timely intervention which can prevent further visual field loss. To detect glaucoma, examination
Externí odkaz:
http://arxiv.org/abs/2204.05591
Autor:
Kamini Kamakshi, Arthi Rengaraj
Publikováno v:
IEEE Access, Vol 12, Pp 35351-35365 (2024)
Epilepsy is a neurological problem due to aberrant brain activity. Epilepsy diagnose through Electroencephalography (EEG) signal. Human interpretation and analysis of EEG signal for earlier detection of epilepsy is subjected to error. Detection of Ep
Externí odkaz:
https://doaj.org/article/4f0d9a812eb24f6f9f65450406088552
Publikováno v:
Indian Journal of Ophthalmology, Vol 72, Iss 3, Pp 320-327 (2024)
Filtration surgery is one of the most frequently performed surgeries in the management of glaucoma, and trabeculectomy is considered the gold standard surgical technique for the same. Though trabeculectomy has been reported to have an excellent initi
Externí odkaz:
https://doaj.org/article/1fa1f8b11dcd4cfab2036e82f04bf7c4
Autor:
Jayan, Jinu, Pashine, Saurabh, Gawade, Pallavi, Jagyasi, Bhushan, Seetharam, Sreedhar, Contractor, Gopali, Palani, Rajesh kumar, Sampgaon, Harshit, Vaity, Sandeep, Bhattacharyya, Tamal, Ramasubbu, Rengaraj
Demand for energy has increased significantly across the globe due to increase in population and economic growth. Growth in energy demand poses serious threat to the environment since majority of the energy sources are non-renewable and based on foss
Externí odkaz:
http://arxiv.org/abs/2202.13101
Autor:
Salma Elhenawy, Majeda Khraisheh, Fares AlMomani, Mohammad Al-Ghouti, Rengaraj Selvaraj, Ala’a Al-Muhtaseb
Publikováno v:
Nanomaterials, Vol 14, Iss 21, p 1707 (2024)
The applications of nanotechnology in the field of water treatment are rapidly expanding and have harvested significant attention from researchers, governments, and industries across the globe. This great interest stems from the numerous benefits, pr
Externí odkaz:
https://doaj.org/article/4f4c1bb2f9ad495397d1a4e41148600c
Autor:
Kaku, Aakash, Liu, Kangning, Parnandi, Avinash, Rajamohan, Haresh Rengaraj, Venkataramanan, Kannan, Venkatesan, Anita, Wirtanen, Audre, Pandit, Natasha, Schambra, Heidi, Fernandez-Granda, Carlos
Automatic action identification from video and kinematic data is an important machine learning problem with applications ranging from robotics to smart health. Most existing works focus on identifying coarse actions such as running, climbing, or cutt
Externí odkaz:
http://arxiv.org/abs/2111.02521