Zobrazeno 1 - 10
of 330
pro vyhledávání: '"S. Arvind"'
Publikováno v:
Results in Engineering, Vol 17, Iss , Pp 100929- (2023)
In the last decade, neural networks and deep learning techniques are widely adopted in the field of medical imaging for image detection, classification, and segmentation tasks and has achieved exceptional results. Deep models have immensely contribut
Externí odkaz:
https://doaj.org/article/b96c30bcdf9c4070892cacd87ace631e
Autor:
Ishan Agrawal, Nidhi Sharma, Shivanjali Saxena, S. Arvind, Debayani Chakraborty, Debarati Bhunia Chakraborty, Deepak Jha, Surajit Ghatak, Sridhar Epari, Tejpal Gupta, Sushmita Jha
Publikováno v:
STAR Protocols, Vol 2, Iss 3, Pp 100678- (2021)
Summary: Extracellular traps (ETs) are composed of decondensed chromatin and are embedded with various antimicrobial proteins like myeloperoxidase and histones. Recently, we reported that dopamine (DA) induces ETs in BV2 microglia cell line and prima
Externí odkaz:
https://doaj.org/article/5ad1eeadfff146f6976b0e1d117b1dbb
Autor:
Nidhi Sharma, Shivanjali Saxena, Ishan Agrawal, Shalini Singh, Varsha Srinivasan, S. Arvind, Sridhar Epari, Sushmita Paul, Sushmita Jha
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-13 (2019)
Abstract Gliomas are the most prevalent primary brain tumors with immense clinical heterogeneity, poor prognosis and survival. The nucleotide-binding domain, and leucine-rich repeat containing receptors (NLRs) and absent-in-melanoma 2 (AIM2) are inna
Externí odkaz:
https://doaj.org/article/ce120f1da5894c3ba7c56e2bff4db2ab
Autor:
Ishan Agrawal, Nidhi Sharma, Shivanjali Saxena, S. Arvind, Debayani Chakraborty, Debarati Bhunia Chakraborty, Deepak Jha, Surajit Ghatak, Sridhar Epari, Tejpal Gupta, Sushmita Jha
Publikováno v:
iScience, Vol 24, Iss 1, Pp 101968- (2021)
Summary: Dopamine (DA) plays many roles in the brain, especially in movement, motivation, and reinforcement of behavior; however, its role in regulating innate immunity is not clear. Here, we show that DA can induce DNA-based extracellular traps in p
Externí odkaz:
https://doaj.org/article/b0770bd049f34a04a2719959ac194400
Publikováno v:
Bangladesh Journal of Pharmacology, Vol 8, Iss 3, Pp 357-360 (2013)
The present study is to evaluate the antihepatotoxic effect of hydroalcoholic extract of leaf powder of Azima tetracantha and the fruit powder of Tribulus terrestris. Ferrous sulfate was used to induce hepatotoxicity and Silymarin was used as a stand
Externí odkaz:
https://doaj.org/article/ab574880013f40158dff8c7e7b57d4a9
Autor:
Gawali, Manish, S, Arvind C, Suryavanshi, Shriya, Madaan, Harshit, Gaikwad, Ashrika, KN, Bhanu Prakash, Kulkarni, Viraj, Pant, Aniruddha
In this paper, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed. We use these techniques to develop binary classification models for detecting tuberculosis from chest X-rays and com
Externí odkaz:
http://arxiv.org/abs/2012.12591
Akademický článek
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Akademický článek
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Autor:
Kazi, Anees, shekarforoush, Shayan, krishna, S. Arvind, Burwinkel, Hendrik, Vivar, Gerome, Kortuem, Karsten, Ahmadi, Seyed-Ahmad, Albarqouni, Shadi, Navab, Nassir
Geometric deep learning provides a principled and versatile manner for the integration of imaging and non-imaging modalities in the medical domain. Graph Convolutional Networks (GCNs) in particular have been explored on a wide variety of problems suc
Externí odkaz:
http://arxiv.org/abs/1903.04233
Autor:
Kazi, Anees, krishna, S. Arvind, Shekarforoush, Shayan, Kortuem, Karsten, Albarqouni, Shadi, Navab, Nassir
Multi-modal data comprising imaging (MRI, fMRI, PET, etc.) and non-imaging (clinical test, demographics, etc.) data can be collected together and used for disease prediction. Such diverse data gives complementary information about the patient\'s cond
Externí odkaz:
http://arxiv.org/abs/1812.09954