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1
Machine Learning Approaches to Classify Anatomical Regions ..:
, In:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Windbuhler, Anna
;
Okkesim, Sukru
;
Christ, Olaf
... - p. 3530-3533 , 2022
Link:
https://doi.org/10.1109/EMBC48229.2022.9871702
RT T1 <cTitle>2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)</cTitle>: T1 <Title>Machine Learning Approaches to Classify Anatomical Regions in Rodent Brain from High Density Recordings</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9871702&Exemplar=1&LAN=DE A1 Windbuhler, Anna A1 Okkesim, Sukru A1 Christ, Olaf A1 Mottaghi, Soheil A1 Rastogi, Shavika A1 Schmuker, Michael A1 Baumann, Timo A1 Hofmann, Ulrich G. YR 2022 SN 2694-0604 K1 Deep learning K1 Rodents K1 Rats K1 Anesthesia K1 Recording K1 Neurosurgery K1 Reliability SP 3530 OP 3533 LK http://dx.doi.org/https://doi.org/10.1109/EMBC48229.2022.9871702 DO https://doi.org/10.1109/EMBC48229.2022.9871702 SF ELIB - SuUB Bremen
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