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1 Ergebnisse
1
Deep Vision Transformers for Prognostic Modeling in COVID-1..:
, In:
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
,
Shiri, Isaac
;
Salimi, Yazdan
;
Sirjani, Nasim
... - p. 1-3 , 2022
Link:
https://doi.org/10.1109/NSS/MIC44845.2022.10399004
RT T1 <cTitle>2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)</cTitle>: T1 <Title>Deep Vision Transformers for Prognostic Modeling in COVID-19 Patients using Large Multi-Institutional Chest CT Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10399004&Exemplar=1&LAN=DE A1 Shiri, Isaac A1 Salimi, Yazdan A1 Sirjani, Nasim A1 Aval, Atlas Haddadi A1 Mansouri, Zahra A1 Amini, Mehdi A1 Saberi, Abdollah A1 Hajianfar, Ghasem A1 Pakbin, Masoumeh A1 Oghli, Mostafa Ghelich A1 Oveisi, Mehrdad A1 Zaidi, Habib YR 2022 SN 2577-0829 K1 COVID-19 K1 Training K1 Representation learning K1 Sensitivity K1 Transformers K1 Natural language processing K1 Task analysis K1 Deep Learning K1 Prognostic Models SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/NSS/MIC44845.2022.10399004 DO https://doi.org/10.1109/NSS/MIC44845.2022.10399004 SF ELIB - SuUB Bremen
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