Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Raghav Mehta"'
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 15, Iss 6, Pp 1043-1045 (2023)
Background: Assessment of correlation between peri-implant parameters and C-reactive protein levels among patients with different obesity levels. Materials and Methods: Evaluation of 60 subjects was performed who were scheduled to undergo dental impl
Externí odkaz:
https://doaj.org/article/717304ce13b44656bfcb88c04ed71d6f
Autor:
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
Publikováno v:
Nichyporuk, B, Cardinell, J, Szeto, J, Mehta, R, Falet, J-P R, Arnold, D L, Tsaftaris, S A & Arbel, T 2022, ' Rethinking Generalization : The Impact of Annotation Style on Medical Image Segmentation ', Melba (The Journal of Machine Learning for Biomedical Imaging), pp. 1-37 . < https://arxiv.org/abs/2210.17398v3 >
Generalization is an important attribute of machine learning models, particularly for those that are to be deployed in a medical context, where unreliable predictions can have real world consequences. While the failure of models to generalize across
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c94ae73ab35610b904d1c095280029f
https://www.pure.ed.ac.uk/ws/files/333234725/2210.17398v3.pdf
https://www.pure.ed.ac.uk/ws/files/333234725/2210.17398v3.pdf
Publikováno v:
January 2021. 7:16-22
As Artificial Intelligence and Machine Learning is growing at a rapid rate over the past few years, so is the amount of data increasing exponentially on the internet. Due to this people find it difficult to choose the exact information they are looki
Publikováno v:
Procedia Computer Science. 167:1739-1748
The weblog is dynamic and its size is growing exponentially with time in terms of navigation sessions. These stored sessions are used for Web Navigation Prediction (WNP). Each user had varied behavior on the web so is their navigated sessions. With a
Publikováno v:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging ISBN: 9783031167485
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f18185f1d9e1a5d5bfec553d4a3dd6e
https://doi.org/10.1007/978-3-031-16749-2_13
https://doi.org/10.1007/978-3-031-16749-2_13
Autor:
Raghav Mehta, Swapna Premasiri, Tanya Nair, Thomas Christinck, Yarin Gal, Aurelie Bussy, Manuela Costantino, Tal Arbel, Douglas L. Arnold, M. Mallar Chakravarty
Publikováno v:
IEEE transactions on medical imaging. 41(2)
Although deep networks have been shown to perform very well on a variety of medical imaging tasks, inference in the presence of pathology presents several challenges to common models. These challenges impede the integration of deep learning models in
Publikováno v:
International Journal of Computers and Applications. 42:715-728
Modeling user(s) navigation sequences and predicting their preferences has been an interesting area of research. For Web Navigation Prediction (WNP) the Markov model(s) are predominantly used for a...
This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024. The 20 full pap
Autor:
Tal Arbel, Sotirios A. Tsaftaris, Justin Szeto, Brennan Nichyporuk, Douglas L. Arnold, Jillian Cardinell, Raghav Mehta
Publikováno v:
Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health ISBN: 9783030877217
DART/FAIR@MICCAI
DART/FAIR@MICCAI
Many automatic machine learning models developed for focal pathology (e.g. lesions, tumours) detection and segmentation perform well, but do not generalize as well to new patient cohorts, impeding their widespread adoption into real clinical contexts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65fe41ed58ebb911e952263920aed728
https://doi.org/10.1007/978-3-030-87722-4_10
https://doi.org/10.1007/978-3-030-87722-4_10
Publikováno v:
Innovative Data Communication Technologies and Application ISBN: 9789811596506
In recent years, AI is taking over the world and such rapid advancement has bought many concerns with it, one of them being—deployment of bots on social media platforms to spread propaganda and gain a political advantage. Moreover, nowadays on Twit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb5bddfe3f8238578e4f8443fdc68c9a
https://doi.org/10.1007/978-981-15-9651-3_3
https://doi.org/10.1007/978-981-15-9651-3_3