Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Rauniyar, Ashish"'
Autor:
Das, Abhijit, Jha, Debesh, Sanjotra, Jasmer, Susladkar, Onkar, Sarkar, Suramyaa, Rauniyar, Ashish, Tomar, Nikhil, Sharma, Vanshali, Bagci, Ulas
Foundational models (FMs) have tremendous potential to revolutionize medical imaging. However, their deployment in real-world clinical settings demands extensive ethical considerations. This paper aims to highlight the ethical concerns related to FMs
Externí odkaz:
http://arxiv.org/abs/2406.11868
Autor:
Jha, Debesh, Rauniyar, Ashish, Srivastava, Abhiskek, Hagos, Desta Haileselassie, Tomar, Nikhil Kumar, Sharma, Vanshali, Keles, Elif, Zhang, Zheyuan, Demir, Ugur, Topcu, Ahmet, Yazidi, Anis, Håakegård, Jan Erik, Bagci, Ulas
Artificial intelligence (AI) methods hold immense potential to revolutionize numerous medical care by enhancing the experience of medical experts and patients. AI-based computer-assisted diagnosis and treatment tools can democratize healthcare by mat
Externí odkaz:
http://arxiv.org/abs/2304.11530
Autor:
Rauniyar, Ashish, Hagos, Desta Haileselassie, Jha, Debesh, Håkegård, Jan Erik, Bagci, Ulas, Rawat, Danda B., Vlassov, Vladimir
With the advent of the IoT, AI, ML, and DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnostic and prognostic models from medical data. This has gained a lot of
Externí odkaz:
http://arxiv.org/abs/2208.03392
Publikováno v:
IEEE SAM, 2022
Due to the current COVID-19 virus, which has already been declared a pandemic by the World Health Organization (WHO), we are witnessing the greatest pandemic of the decade. Millions of people are being infected, resulting in thousands of deaths every
Externí odkaz:
http://arxiv.org/abs/2208.04704
Autor:
Jha, Debesh, Rauniyar, Ashish, Johansen, Håvard D., Johansen, Dag, Riegler, Michael A., Halvorsen, Pål, Bagci, Ulas
Publikováno v:
published IEEE SAM 2022
Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning,
Externí odkaz:
http://arxiv.org/abs/2206.11335
Polyps are the predecessors to colorectal cancer which is considered as one of the leading causes of cancer-related deaths worldwide. Colonoscopy is the standard procedure for the identification, localization, and removal of colorectal polyps. Due to
Externí odkaz:
http://arxiv.org/abs/2012.15247
Akademický článek
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Autor:
Rauniyar, Ashish1 (AUTHOR) ashish.rauniyar@sintef.no, Østerbø, Olav N.2 (AUTHOR), Håkegård, Jan Erik1 (AUTHOR), Engelstad, Paal3 (AUTHOR)
Publikováno v:
Sensors (14248220). Apr2023, Vol. 23 Issue 8, p3958. 18p.
Akademický článek
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