Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Anusha Vupputuri"'
Autor:
Anusha Vupputuri, Nirmalya Ghosh
Publikováno v:
Journal of neuroscience methods. 360
Background and objective Non-invasive and robust identification of salvageable tissue (penumbra) is crucial for interventional stroke therapy. Besides identifying stroke injury as a whole, the ability to automatically differentiate core and penumbra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61b16fa8ad83d9a7d304c94c32552625
https://pubmed.ncbi.nlm.nih.gov/34146591
https://pubmed.ncbi.nlm.nih.gov/34146591
Publikováno v:
Computers in Biology and Medicine. 136:104724
Background and objective Accurate and timely treatment of ischemic stroke can restore the blood flow in the affected area and reduce the risk of disability and death. Identification and localisation of both direct and collateral blood flow restrictio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b507fa3d87fb11160f9dc4caefa90a4
https://doi.org/10.1016/j.compbiomed.2021.104724
https://doi.org/10.1016/j.compbiomed.2021.104724
Publikováno v:
EMBC
Ischaemic stroke is a medical condition caused by occlusion of blood supply to the brain tissue thus forming a lesion. A lesion is zoned into a core associated with irreversible necrosis typically located at the center of the lesion, while reversible
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::361c91db44595f6b13ac0fd0704e0de4
http://arxiv.org/abs/1908.01176
http://arxiv.org/abs/1908.01176
Publikováno v:
Computers in biology and medicine. 116
Automated estimation of ischemic stroke evolution across different brain anatomical regions has immense potential to revolutionize stroke treatment. Multi-sequence Magnetic Resonance Imaging (MRI) techniques provide information to characterize abnorm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38748a63def0a2d593424465381048ac
https://pubmed.ncbi.nlm.nih.gov/31783255
https://pubmed.ncbi.nlm.nih.gov/31783255
Publikováno v:
EMBC
Medical image analysis tasks like segmentation and detection of injury involving manual interventions usually suffers from high inter-observer variabilities. To carry them out efficiently, various deep neural networks have been proposed recently as t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e1d31ae3c28adb2d95b6bcb21f28350
https://doi.org/10.1109/embc.2019.8857708
https://doi.org/10.1109/embc.2019.8857708
Publikováno v:
EMBC
Non-invasive, quantitative and robust identification of ischemic stroke and estimation of injury extent is essential for assisting neuroradiologists. Manual Iesion delineation techniques are susceptible to subjective errors and therefore computer aid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a818809f124713d19d3bdabc68dfa58
https://doi.org/10.1109/embc.2018.8512283
https://doi.org/10.1109/embc.2018.8512283
Autor:
Manas Kumar Nag, Saunak Chatterjee, Jyotirmoy Chatterjee, Nirmalya Ghosh, Anusha Vupputuri, Anup K. Sadhu
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319943725
Computed tomography (CT) is the preferred imaging modality for diagnosis of hemorrhage. The hematoma appears as hyper intense mass in the image. Computer aided diagnosis assists clinicians for making a better prediction and helps in surgery planning.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::535a48da92e7d526537c8211251f81f9
https://doi.org/10.1007/978-3-319-94373-2_14
https://doi.org/10.1007/978-3-319-94373-2_14
Publikováno v:
EMBC
Objective and non-invasive quantification of ischemic stroke and differentiation of salvageable from non-salvageable tissue is critical to treatment planning. However current Magnetic Resonance Imaging(MRI) techniques are time consuming and rely on m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::237c0bb9bfe202c370ffdd8761741a98
https://doi.org/10.1109/embc.2017.8037491
https://doi.org/10.1109/embc.2017.8037491