Zobrazeno 1 - 10
of 608
pro vyhledávání: '"C. Kesavadas"'
Autor:
Sreejith Vidyadharan, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and effective treatment strategies. Current diagnosis is based on biopsy, prompting the need for non invasive neuroimaging alternatives. Diffusion
Externí odkaz:
https://doaj.org/article/083c82908a3846aea12fbe8b77d91805
Autor:
Dheerendranath Battalapalli, Sreejith Vidyadharan, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
Purpose: The main purpose of this study was to comprehensively investigate the potential of fractal dimension (FD) measures in discriminating brain gliomas into low-grade glioma (LGG) and high-grade glioma (HGG) by examining tumor constituents and no
Externí odkaz:
https://doaj.org/article/52ce138f00ea49e4928cd47461285a5e
Autor:
Dheerendranath Battalapalli, B. V. V. S. N. Prabhakar Rao, P. Yogeeswari, C. Kesavadas, Venkateswaran Rajagopalan
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Segmenting brain tumor and its constituent regions from magnetic resonance images (MRI) is important for planning diagnosis and treatment. In clinical routine often an experienced radiologist delineates the tumor regions using mul
Externí odkaz:
https://doaj.org/article/9e765905b27e4961aaa2c9075d3cfe98
Autor:
C. Kesavadas
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 32, Iss 01, Pp 001-002 (2022)
Externí odkaz:
https://doaj.org/article/34ceb34e171943c7a2462e6e097a8da0
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Autor:
Tripathi, Arpan, Rakkunedeth, Abhilash, Panicker, Mahesh Raveendranatha, Zhang, Jack, Boora, Naveenjyote, Knight, Jessica, Jaremko, Jacob, Chen, Yale Tung, Narayan, Kiran Vishnu, C, Kesavadas
Most applications of deep learning techniques in medical imaging are supervised and require a large number of labeled data which is expensive and requires many hours of careful annotation by experts. In this paper, we propose an unsupervised, physics
Externí odkaz:
http://arxiv.org/abs/2109.06346
Autor:
Mathews, Roshan P, Panicker, Mahesh Raveendranatha, Hareendranathan, Abhilash R, Chen, Yale Tung, Jaremko, Jacob L, Buchanan, Brian, Narayan, Kiran Vishnu, C, Kesavadas, Mathews, Greeta
The COVID-19 pandemic has highlighted the need for a tool to speed up triage in ultrasound scans and provide clinicians with fast access to relevant information. The proposed video-summarization technique is a step in this direction that provides cli
Externí odkaz:
http://arxiv.org/abs/2109.01309
Autor:
Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Hareendranathan, Abhilash R, Chen, Yale Tung, Jaremko, Jacob L, Narayan, Kiran Vishnu, C, Kesavadas
Lung ultrasound (LUS) is an increasingly popular diagnostic imaging modality for continuous and periodic monitoring of lung infection, given its advantages of non-invasiveness, non-ionizing nature, portability and easy disinfection. The major landmar
Externí odkaz:
http://arxiv.org/abs/2106.06987
Autor:
Tripathi, Arpan, Panicker, Mahesh Raveendranatha, Rakkunedeth Hareendranathan, Abhilash, Jaremko, Jacob, Chen, Yale Tung, Narayan, Kiran Vishnu, C., Kesavadas
Publikováno v:
In Computers in Biology and Medicine January 2023 152
Autor:
Naresh Kasoju, N. S. Remya, Renjith Sasi, S. Sujesh, Biju Soman, C. Kesavadas, C. V. Muraleedharan, P. R. Harikrishna Varma, Sanjay Behari
Publikováno v:
CSI Transactions on ICT. 11:11-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6491b81ec9ec0224af4302c860a1c0c
https://doi.org/10.1007/s40012-023-00380-3
https://doi.org/10.1007/s40012-023-00380-3
Publikováno v:
Seminars in Roentgenology. 58:28-46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::943142ba92fd9f0697417900ea281715
https://doi.org/10.1053/j.ro.2022.11.002
https://doi.org/10.1053/j.ro.2022.11.002