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Automated metrics are robust to sources of errors including registration and electrode bending. We observe the highest error in EP deviations of μ = 0.25 mm when the post-implantation CT is used to define the point of entry. COMPARISON WITH EXISTING METHOD(S) We found no reports of automated approaches for quality assessment of SEEG electrode implantation. Neither the choice of metrics nor the possible errors that could occur have been investigated previously. CONCLUSIONS Our automated approach is useful to avoid human errors, unintent
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