Zobrazeno 1 - 10
of 24
pro vyhledávání: '"B. V. V. S. N. Prabhakar Rao"'
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:
Mary Salve, Prasant Kumar Pattnaik, Sanket Goel, Aurnab Mandal, B. V. V. S. N. Prabhakar Rao, Khairunnisa Amreen
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-10
Herein, a portable 3-D printed miniaturized bipolar electrode-electrochemiluminescence (BPE-ECL) platform is presented. The platform has a smartphone-enabled read-out method for ECL signal analysis, a 9-V Hi-watt battery for power supply, and graphit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0728b1dfe1ec01e98e8ec829a5606c
https://doi.org/10.1109/tim.2020.3023211
https://doi.org/10.1109/tim.2020.3023211
Autor:
Priyanka B. Ganganaik, Omkar Mukul Gowaikar, V. Jeffry Louis, Rajesh K. Tripathy, Venkateswaran Rajagopalan, B. V. V. S. N. Prabhakar Rao, Souvik Kundu
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811911101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3d68b70184b077d0e47e59abe2aafe
https://doi.org/10.1007/978-981-19-1111-8_72
https://doi.org/10.1007/978-981-19-1111-8_72
Autor:
Mary Salve, Aurnab Mandal, Khairunnisa Amreen, B. V. V. S. N. Prabhakar Rao, Prasant Kumar Pattnaik, Sanket Goel
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c116b6defdcb9700243e2da1b29893
https://doi.org/10.1109/tim.2021.3133073
https://doi.org/10.1109/tim.2021.3133073
Publikováno v:
Journal of Experimental & Theoretical Artificial Intelligence. 31:57-76
The objective of this study is to perform brain glioma grade classification by identifying an optimal quantitative feature set from conventional magnetic resonance images. In this work, a hybrid fe...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbaf22fbc92ce71102e86e074721c14e
https://doi.org/10.1080/0952813x.2018.1518997
https://doi.org/10.1080/0952813x.2018.1518997
Publikováno v:
Signal, Image and Video Processing. 11:1337-1345
This work aims to identify non-invasive quantitative parameters from three-dimensional brain magnetic resonance images in order: (1) to classify brain tumor (glioma) as low grade (LG) or high grade (HG) and (2) to analyze effect of tumor on brain gra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dbdcf327a7a3ec1ac5f805c7c3f678d
https://doi.org/10.1007/s11760-017-1091-x
https://doi.org/10.1007/s11760-017-1091-x
Autor:
B. V. V. S. N. Prabhakar Rao, P. Michael Preetam Raj, Souvik Kundu, P. Joshna, Sankara Rao Gollu, Parikshit Sahatiya
Publikováno v:
Nanotechnology. 30(36)
We report on the low cost and low temperature chemical synthesis of p-type nickel oxide (NiO) and n-type reduced graphene oxide (rGO) and their integration onto ITO/glass substrate to form p-NiO/n-rGO heterojunction for possible self-powered ultravio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52046fec8af71de06a5a449a79b012f3
https://pubmed.ncbi.nlm.nih.gov/31151121
https://pubmed.ncbi.nlm.nih.gov/31151121