Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources

Authors

Stefanie Chambers (ORCID: https://orcid.org/0009-0006-7463-6636)
Ana Filipa Geraldo (ORCID: https://orcid.org/0000-0002-9663-4387)
Gregor J. Kasprian (ORCID: https://orcid.org/0000-0003-3858-3347)
Eduardo P. Reis
Mateus Aragão Esmeraldo (ORCID: https://orcid.org/0000-0002-3537-9730)
Yanniklas Kravutske
Sergios Gatidis
Bruno P. Soares

Institutions

Stanford Medicine (US)
Medical University of Vienna (AT)
Stanford University (US)

Publication Details

Journal: Brain Informatics
Published: 2026-04-03
DOI: https://doi.org/10.1186/s40708-026-00299-w
Primary Topic: Glioma Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

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article

Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources

Stefanie Chambers, Ana Filipa Geraldo, Gregor J. Kasprian, Eduardo P. Reis et al.

Apr 3, 2026

Brain Informatics

Glioma Diagnosis and Treatment

article

Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources

Stefanie Chambers, Ana Filipa Geraldo, Gregor J. Kasprian, Eduardo P. Reis, Mateus Aragão Esmeraldo, Yanniklas Kravutske, Sergios Gatidis, Bruno P. Soares

April 3, 2026article en

Abstract

No abstract available for this paper.

Brain InformaticsVol. 13(1)

Stanford Medicine (US), Medical University of Vienna (AT), Stanford University (US)

Openalex Percentile: Top 31%

Glioma Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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