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Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy.

, , , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 13-22. Springer, (2020)

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A framework for the automatic detection and characterization of brain malformations: Validation on the corpus callosum., , , , , and . Medical Image Anal., (2016)Mapping Brains on Grids of Features for Schizophrenia Analysis., , , , , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 805-812. Springer, (2014)Automatic Tissue Segmentation with Deep Learning in Patients with Congenital or Acquired Distortion of Brain Anatomy., , , , , , and . MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 13-22. Springer, (2020)Correction to: Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester., , , , , , , , , and 2 other author(s). Neuroinformatics, 21 (4): 669 (October 2023)Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester., , , , , , , , , and 2 other author(s). Neuroinformatics, 21 (3): 549-563 (July 2023)Detection of Corpus Callosum Malformations in Pediatric Population Using the Discriminative Direction in Multiple Kernel Learning., , , , and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 300-307. Springer, (2014)