Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rahul G Krishnan"'
Autor:
Arun Chockalingam, Vibha Tyagi, Rahul G Krishnan, Shehroz S Khan, Sarath Chandar, Mirza Faisal Beg, Vidur Mahajan, Parasvil Patel, Sri Teja Mullapudi, Nikita Thakkar, Arrti A Bhasin, Atul Tyagi, Bing Ye, Alex Mihailidis
Publikováno v:
International Journal of Noncommunicable Diseases, Vol 6, Iss 5, Pp 8-18 (2021)
Artificial intelligence (AI) has a great impact on our daily living and makes our lives more efficient and productive. Especially during the coronavirus disease (COVID-19) pandemic, AI has played a key role in response to the global health crisis. Th
Externí odkaz:
https://doaj.org/article/47fef4ca3de9405aade168c3e720c386
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71511d7fa3c8e8c1102bd245c4dcbb48
https://doi.org/10.1007/s11548-023-02965-4
https://doi.org/10.1007/s11548-023-02965-4
Autor:
Atsuhiro Hibi, Majid Jaberipour, Michael D. Cusimano, Alexander Bilbily, Rahul G. Krishnan, Richard I. Aviv, Pascal N. Tyrrell
Publikováno v:
Medicine. 101(47)
The purpose of this study was to conduct a systematic review for understanding the availability and limitations of artificial intelligence (AI) approaches that could automatically identify and quantify computed tomography (CT) findings in traumatic b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14a21f9138db1a23daa285c4f0ce23ac
https://pubmed.ncbi.nlm.nih.gov/36451512
https://pubmed.ncbi.nlm.nih.gov/36451512
Publikováno v:
Liver Transplantation. 28:1128-1130
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::380756464194f918719d9f3e7e7db61a
https://doi.org/10.1002/lt.26485
https://doi.org/10.1002/lt.26485
Autor:
Stephanie M. Hu, Steven Horng, Seth J. Berkowitz, Ruizhi Liao, Rahul G. Krishnan, Li-wei H. Lehman, Roger G. Mark
Accurately assessing the severity of pulmonary edema is critical for making treatment decisions in congestive heart failure patients. However, the current scale for quantifying pulmonary edema based on chest radiographs does not have well-characteriz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fdfaa752ad0bc8012aec9a2ed4664ed
https://doi.org/10.1101/2022.01.15.22269345
https://doi.org/10.1101/2022.01.15.22269345
Autor:
Mirza Faisal Beg, Arun Chockalingam, Arrti Bhasin, Nikita Thakkar, Alex Mihailidis, Sarath Chandar, Vidur Mahajan, Bing Ye, Atul Tyagi, Parasvil Patel, Rahul G. Krishnan, Sri Teja Mullapudi, Shehroz S. Khan, Vibha Tyagi
Publikováno v:
International Journal of Noncommunicable Diseases, Vol 6, Iss 5, Pp 8-18 (2021)
Artificial intelligence (AI) has a great impact on our daily living and makes our lives more efficient and productive. Especially during the coronavirus disease (COVID-19) pandemic, AI has played a key role in response to the global health crisis. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aebecd5dc978941f45cdaf7158381ca4
https://doi.org/10.4103/2468-8827.330646
https://doi.org/10.4103/2468-8827.330646
Publikováno v:
WWW
We extend variational autoencoders (VAEs) to collaborative filtering for implicit feedback. This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate collaborative f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c669bb4de3ef81bb1e801cec43793db
https://doi.org/10.1145/3178876.3186150
https://doi.org/10.1145/3178876.3186150