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

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Bibliographic Details
Title: Pipeline evaluation of a state-of-the-art AI algorithm for detection of focal cortical dysplasia: insights into potential failure sources.
Authors: Esmeraldo MA; Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Chambers S; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Kravutske Y; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Reis EP; Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Kasprian G; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria., Geraldo AF; Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Gatidis S; Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., Soares BP; Pediatric Radiology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA. bpsoares@stanford.edu.
Source: Brain informatics [Brain Inform] 2026 Apr 03; Vol. 13 (1). Date of Electronic Publication: 2026 Apr 03.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Germany NLM ID: 101673751 Publication Model: Electronic Cited Medium: Print ISSN: 2198-4018 (Print) Linking ISSN: 21984026 NLM ISO Abbreviation: Brain Inform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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