Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Saha, Manash"'
Autor:
Parvez, Md Sorwer Alam, Saha, Manash Kumar, Ibrahim, Md., Araf, Yusha, Islam, Md. Taufiqul, Ohtsuki, Gen, Hosen, Mohammad Jakir
Publikováno v:
Immunity, Inflammation and Disease 10 (2022), e639
Prominently accountable for the upsurge of COVID-19 cases as the world attempts to recover from the previous two waves, Omicron has further threatened the conventional therapeutic approaches. Omicron is the fifth variant of concern (VOC), which compr
Externí odkaz:
http://arxiv.org/abs/2201.08176
Autor:
Gomes, Douglas P. S., Horry, Michael J., Ulhaq, Anwaar, Paul, Manoranjan, Chakraborty, Subrata, Saha, Manash, Debnath, Tanmoy, Rahaman, D. M. Motiur
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of medical imaging for COVID-19 lies rather on patient prognosis. Radiologic
Externí odkaz:
http://arxiv.org/abs/2011.14983
Autor:
Saha, Manash, Menuet, Clément, Sun, Qi-Jian, Burke, Peter, Hildreth, Cara, Allen, Andrew, Phillips, Jacqueline
Publikováno v:
Respiratory Physiology and Neurobiology, Elsevier, In press
Respiratory modulation of sympathetic nerve activity (respSNA) was studied in a hypertensive rodent model of chronic kidney disease (CKD) using Lewis Polycystic Kidney (LPK) rats and Lewis controls. In adult animals under in vivo anaesthetised condit
Externí odkaz:
http://arxiv.org/abs/1904.01862
Autor:
Saha, Manash
Chronic kidney disease (CKD) is a major public health problem, resulting in significant morbidity and mortality. Among the different causes and comorbidities of CKD, hypertension draws special attention as it is often difficult to treat and increases
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504ce4cd57cfb58924b426e561f56d6c
Autor:
Gomes, Douglas P. S., Horry, Michael J., Ulhaq, Anwaar, Paul, Manoranjan, Chakraborty, Subrata, Saha, Manash, Debnath, Tanmoy, Rahaman, D. M. Motiur
The application of computer vision for COVID-19 diagnosis is complex and challenging, given the risks associated with patient misclassifications. Arguably, the primary value of medical imaging for COVID-19 lies rather on patient prognosis. Radiologic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d5dbe8f0aff53c173f8672c202a4f0
https://hdl.handle.net/10453/145909
https://hdl.handle.net/10453/145909
Autor:
Parvez, Md Sorwer Alam, Saha, Manash Kumar, Ibrahim, Md., Araf, Yusha, Islam, Md. Taufiqul, Ohtsuki, Gen, Hosen, Mohammad Jakir
Publikováno v:
Immunity, Inflammation & Disease; Jul2022, Vol. 10 Issue 7, p1-15, 15p
Akademický článek
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Autor:
Horry, Michael, Saha, Manash, Paul, Manoranjan, Ulhaq, Anwaar, Pradhan, Biswajeet, Shukla, Nagesh, Chakraborty, Subrata
Detecting COVID-19 early may help in devising an appropriate treatment plan and disease containment decisions. In this study, we demonstrate how pre-trained deep learning models can be adopted to perform COVID-19 detection using X-Ray images. The aim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9537fd1c551b0986b8048c97dae3de9c
https://doi.org/10.31224/osf.io/wx89s
https://doi.org/10.31224/osf.io/wx89s
Autor:
Krishnan, Prasad1 prasad.krishnan@redifmail.co, Saha, Manash2
Publikováno v:
Neurology India. Jan/Feb2016, Vol. 64 Issue 1, p182-184. 3p.
Akademický článek
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