Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation-Reference-Cited by-同舟云学术

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation

Published:2022-08-21 Issue:10 Volume:46 Page:
ISSN:1573-689X
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Suri Jasjit S.^ORCID,Agarwal Sushant,Saba Luca,Chabert Gian Luca,Carriero Alessandro,Paschè Alessio,Danna Pietro,Mehmedović Armin,Faa Gavino,Jujaray Tanay,Singh Inder M.,Khanna Narendra N.,Laird John R.,Sfikakis Petros P.,Agarwal Vikas,Teji Jagjit S.,R Yadav Rajanikant,Nagy Ferenc,Kincses Zsigmond Tamás,Ruzsa Zoltan,Viskovic Klaudija,Kalra Mannudeep K.

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10916-022-01850-y.pdf

Reference110 articles.

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4. Suri, J.S.; Puvvula, A.; Biswas, M.; Majhail, M.; Saba, L.; Faa, G.; Singh, I.M.; Oberleitner, R.; Turk, M.; Chadha, P.S.; et al. COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A review. Comput Biol Med 2020, 124, 103960, https://doi.org/10.1016/j.compbiomed.2020.103960.

5. Cau, R.; Bassareo, P.P.; Mannelli, L.; Suri, J.S.; Saba, L. Imaging in COVID-19-related myocardial injury. Int J Cardiovasc Imaging 2021, 37, 1349-1360, https://doi.org/10.1007/s10554-020-02089-9.

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