Interpretable surface-based detection of focal cortical dysplasias: a Multi-centre Epilepsy Lesion Detection study

External validation of automated focal cortical dysplasia detection using morphometric analysis

(2021) Bastian David et al.   EPILEPSIA

Automated detection and segmentation of focal cortical dysplasias (FCDs) with artificial intelligence: Presentation of a novel convolutional neural network and its prospective clinical validation

(2021) Patrick M. House et al.   EPILEPSY RESEARCH

Multicenter Validation of a Deep Learning Detection Algorithm for Focal Cortical Dysplasia

(2021) Ravnoor Singh Gill et al.   NEUROLOGY

Atlas of lesion locations and postsurgical seizure freedom in focal cortical dysplasia: A MELD study

(2021) Konrad Wagstyl et al.   EPILEPSIA

Planning stereoelectroencephalography using automated lesion detection: Retrospective feasibility study

(2020) Konrad Wagstyl et al.   EPILEPSIA

Value of 7T MRI and post‐processing in patients with nonlesional 3T MRI undergoing epilepsy presurgical evaluation

(2020) Irene Wang et al.   EPILEPSIA

Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features

(2019) Jia-Jie Mo et al.   Frontiers in Neuroscience

Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study

(2018) Christopher D Whelan et al.   BRAIN

Automated detection of focal cortical dysplasia type II with surface-based magnetic resonance imaging postprocessing and machine learning

(2018) Bo Jin et al.   EPILEPSIA

Harmonization of cortical thickness measurements across scanners and sites

(2018) Jean-Philippe Fortin et al.   NEUROIMAGE

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Cross-validation failure: Small sample sizes lead to large error bars

(2017) Gaël Varoquaux   NEUROIMAGE

Novel surface features for automated detection of focal cortical dysplasias in paediatric epilepsy

(2017) Sophie Adler et al.   NeuroImage-Clinical

Voxel-based morphometric magnetic resonance imaging (MRI) postprocessing in MRI-negative epilepsies

(2015) Z. Irene Wang et al.   ANNALS OF NEUROLOGY

Cortical feature analysis and machine learning improves detection of “MRI-negative” focal cortical dysplasia

(2015) Bilal Ahmed et al.   EPILEPSY & BEHAVIOR

Automated detection of cortical dysplasia type II in MRI-negative epilepsy

(2014) S.-J. Hong et al.   NEUROLOGY

The pathology of magnetic-resonance-imaging-negative epilepsy

(2013) Z Irene Wang et al.   MODERN PATHOLOGY

FreeSurfer

(2012) Bruce Fischl   NEUROIMAGE

Focal cortical dysplasia type IIa and IIb: MRI aspects in 118 cases proven by histopathology

(2012) Nadia Colombo et al.   NEURORADIOLOGY

The Effects of FreeSurfer Version, Workstation Type, and Macintosh Operating System Version on Anatomical Volume and Cortical Thickness Measurements

(2012) Ed H. B. M. Gronenschild et al.   PLoS One

INTRINSIC CURVATURE: A MARKER OF MILLIMETER-SCALE TANGENTIAL CORTICO-CORTICAL CONNECTIVITY?

(2011) LISA RONAN et al.   International Journal of Neural Systems

The clinicopathologic spectrum of focal cortical dysplasias: A consensus classification proposed by an ad hoc Task Force of the ILAE Diagnostic Methods Commission1

(2010) Ingmar Blümcke et al.   EPILEPSIA

Surgical outcomes in lesional and non-lesional epilepsy: A systematic review and meta-analysis

(2010) José F. Téllez-Zenteno et al.   EPILEPSY RESEARCH

Characteristics and Surgical Outcomes of Patients With Refractory Magnetic Resonance Imaging–Negative Epilepsies

(2009) Christian G. Bien et al.   ARCHIVES OF NEUROLOGY

Ensemble-based classifiers

(2009) Lior Rokach   ARTIFICIAL INTELLIGENCE REVIEW

Age-associated alterations in cortical gray and white matter signal intensity and gray to white matter contrast

(2009) D.H. Salat et al.   NEUROIMAGE

A methodology for analyzing curvature in the developing brain from preterm to adult

(2008) R. Pienaar et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY